Updated on 2025/10/08

写真a

 
SASAHARA KAZUTOSHI
 
Organization
School of Environment and Society Professor
Title
Professor
Profile

I study communication as a complex systems using computational social science approaches.

External link

Degree

  • Ph.D ( 2005.3   The University of Tokyo )

Research Interests

  • Complex Systems Science

  • Computational Social Science

Research Areas

  • Informatics / Soft computing

  • Informatics / Web informatics and service informatics

  • Informatics / Intelligent informatics

Education

  • The University of Tokyo   Graduate School of Arts and Sciences   Department of General Systems Studies

    2002.4 - 2005.3

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  • Tokyo Metropolitan University   Graduate School of Science   Department of Physics

    2000.4 - 2002.3

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  • Chuo University   Faculty of Science and Engineering   Department of Physics

    1996.4 - 2000.3

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  • Iwaki High School

    1993.4 - 1995.3

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Research History

  • Institute of Science Tokyo   Department of Innovation Science, School of Environment and Society   Professor

    2024.10

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    Country:Japan

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  • 日本学術会議連携会員(特任)

    2024.5 - 2026.9

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  • National Institute of Informatics   Visiting Professor

    2024.4

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  • Tokyo Institute of Technology   Department of Innovation Science, School of Environment and Society   Professor

    2024.4 - 2024.9

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  • スマートニュースメディア研究所   客員研究員

    2024.1

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  • The University of Tokyo   Faculty of Letters   Part-time lecturer

    2023.4 - 2024.3

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  • National Institute of Informatics

    2022.4 - 2024.3

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    Country:Japan

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  • Nagoya University

    2021.4

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  • The University of Tokyo   Institute of Industrial Science   Research Fellow

    2021.3

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  • Tokyo Institute of Technology   Department of Innovation Science, School of Environment and Society   Associate Professor

    2020.9 - 2024.3

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  • Kobe University   Center for Computational Social Science (CCSS)   Research Fellow

    2020.2

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    Country:Japan

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  • Nagoya University   Graduate School of Informatics Global Media Research Center   Senior Lecturer

    2018.9 - 2020.8

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    Country:Japan

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  • Nagoya University   Graduate School of Informatics Department of Complex Systems Science   Senior Lecturer

    2018.1 - 2020.8

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  • Nagoya University   Department of Complex Systems Science, Graduate School of Informatics   Assistant Professor

    2017.4 - 2017.12

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  • Japan Science and Technology Agency

    2016.12 - 2020.3

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    Country:Japan

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  • Indiana University Bloomingtony   Visiting Researcher

    2016.4 - 2017.3

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  • Nagoya University of Commerce and Business

    2014.4 - 2016.3

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    Country:Japan

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  • Nagoya University   Department of Complex Systems Science, Graduate School of Informatics   Assistant Professor

    2012.6 - 2017.3

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    Country:Japan

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  • Japan Science and Technology Agency   FIRST Aihara Innovative Mathematical Modelling Project   Researcher

    2011.4 - 2012.5

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  • University of California, Los Angeles   Visiting Researcher

    2009.4 - 2010.3

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  • JSPS   Research Fellow

    2008.4 - 2011.3

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  • RIKEN BSI   Researcher

    2005.4 - 2008.3

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Professional Memberships

  • Computational Social Science Japan

    2021.3

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  • Human Behavior and Evolution Society of Japan

    2018.5

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  • THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE

    2011.4

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Committee Memberships

  • Editorial Board Member   Editorial Board Member  

    2022.8   

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    Committee type:Other

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  • Society for Computational Social Science of Japan   Organizer  

    2021.4   

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    Committee type:Academic society

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  • 東京大学情報基盤センターデータ科学専門委員会   委員  

    2020.12   

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    Committee type:Academic society

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  • 愛知県立旭丘高等学校スーパーサイエンスハイスクール   運営指導委員  

    2019.4   

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    Committee type:Other

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  • PLoS ONE   Academic Editor  

    2018.5   

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    Committee type:Other

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Papers

  • Quantifying collective attention and fan engagement: a case study of the Japanese professional baseball league Reviewed

    Naofumi Otomo, Kazutoshi Sasahara, Makoto Mizuno, Yukie Sano

    Journal of Computational Social Science   8 ( 2 )   2025.3

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    Abstract

    The rise of social media has led to new studies on collective attention in specific events such as elections and sports. In the context of collective attention, phenomena such as rapid increases in the number of posts and the sentiment of the content have been extensively studied. However, microscopic details, like who is participating and the specific words used in posts, are not yet fully understood. Therefore, this study proposes a new indicator to quantify the state where a broad range of participants exhibit their narrow attention. We tested this indicator using over 10 million tweets related to Japanese professional baseball teams, where many participants exhibit their attention towards the team they support. We confirmed that collective attention occurs in both positive events, such as championships, and negative events, such as player injuries. This did not necessarily correspond to the simple post volume. Additionally, an analysis distinguishing between own-team fans and fans of other teams revealed significant collective attention occurred when involving fans of other teams. By employing the microscopic perspective defined in this study, which considers localized attention with a broad range of participants, we elucidate the mechanisms of collective attention and provide insights into the origins of collective attention.

    DOI: 10.1007/s42001-025-00380-0

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    Other Link: https://link.springer.com/article/10.1007/s42001-025-00380-0/fulltext.html

  • Social media warfare: investigating human-bot engagement in English, Japanese and German during the Russo-Ukrainian war on Twitter and Reddit Reviewed

    Wentao Xu, Kazutoshi Sasahara, Jianxun Chu, Bin Wang, Wenlu Fan, Zhiwen Hu

    EPJ Data Science   14 ( 1 )   2025.2

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    DOI: 10.1140/epjds/s13688-025-00528-y

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    Other Link: https://link.springer.com/article/10.1140/epjds/s13688-025-00528-y/fulltext.html

  • What You Eat Reveals Who You Are: Food Identity and Its Value Implications in Consumer Behavior

    Minoru Karasawa, Kazutoshi Sasahara, Hakche Ryu

    Quarterly Journal of Marketing   45 ( 1 )   5 - 13   2025.1

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Japan Marketing Academy  

    DOI: 10.7222/marketing.2025.007

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  • Are meat alternatives a moral concern? A comparison of English and Japanese tweets Reviewed

    Moena Hashimoto, Yotaro Takazawa, Kazutoshi Sasahara

    Humanities and Social Sciences Communications   11 ( 1 )   2024.9

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    DOI: 10.1057/s41599-024-03766-z

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    Other Link: https://www.nature.com/articles/s41599-024-03766-z

  • The impact of toxic trolling comments on anti-vaccine YouTube videos Reviewed

    Kunihiro Miyazaki, Takayuki Uchiba, Haewoon Kwak, Jisun An, Kazutoshi Sasahara

    Scientific Reports   14 ( 1 )   2024.3

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    Abstract

    Anti-vaccine trolling on video-hosting websites hinders efforts to increase vaccination rates by using toxic language and threatening claims to intimidate people and promote vaccine hesitancy. However, there is a shortage of research investigating the effects of toxic messages on these platforms. This study focused on YouTube anti-vaccine videos and examined the relationship between toxicity and fear in the comment section of these videos. We discovered that highly liked toxic comments were associated with a significant level of fear in subsequent comments. Moreover, we found complex patterns of contagion between toxicity and fear in the comments. These findings suggest that initial troll comments can evoke negative emotions in viewers, potentially fueling vaccine hesitancy. Our research bears essential implications for managing public health messaging and online communities, particularly in moderating fear-mongering messages about vaccines on social media.

    DOI: 10.1038/s41598-024-54925-w

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    Other Link: https://www.nature.com/articles/s41598-024-54925-w

  • Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter Reviewed

    Piyush Ghasiya, Georg Ahner, Kazutoshi Sasahara

    Social Media + Society   2023.9

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1177/20563051231199457

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  • Detecting directional forces in the evolution of grammar: A case study of the English perfect with intransitives across EEBO, COHA, and Google Books Reviewed

    Shimpei Okuda, Michio Hosaka, Kazutoshi Sasahara

    Humanities and Social Sciences Communications   2023.6

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1057/s41599-023-01766-z

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  • Combating Misinformation/ Disinformation in Online Social Media: A Multidisciplinary View Reviewed

    M. Barni, Y. Fang, Y. Liu, L. Robinson, K. Sasahara, S. Vincen, X. Wang, Z. Wu

    APSIPA Transactions on Signal and Information Processing   11 ( 2 )   2022.12

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  • Rapid Sharing of Islamophobic Hate on Facebook: The Case of the Tablighi Jamaat Controversy Reviewed

    Piyush Ghasiya, Kazutoshi Sasahara

    Social Media + Society   2022.11

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1177/20563051221129151

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  • Between Localism and Politics: mapping Coordinated Networks that Circulate Problematic Health Content in India

    Fabio Giglietto, Piyush Ghasiya, Kazutoshi Sasahara, Sawood Anwar, Roberto Mincigrucci

    Media Ecosystems Analysis Group   2022.7

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    Language:English   Publishing type:Research paper (conference, symposium, etc.)  

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  • Aggressive behaviour of anti-vaxxers and their toxic replies in English and Japanese Reviewed

    Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, Kazutoshi Sasahara

    Humanities and Social Sciences Communications   9 ( 229 )   - - -   2022.7

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    Abstract

    The anti-vaccine movement has gained traction in many countries since the COVID-19 pandemic began. However, their aggressive behaviour through replies on Twitter—a form of directed messaging that can be sent beyond follow-follower relationships—is less understood, and even less is known about the language use differences of this behaviour. We conducted a comparative study of anti-vaxxers’ aggressive behaviours by analysing a longitudinal dataset of COVID-19 tweets in English and Japanese. We found two common features across these languages. First, anti-vaxxers most actively transmit targeted messages or replies to users with different beliefs, especially to neutral accounts, with significantly toxic and negative language, and these replies are often directed to posts about vaccine operations. Second, influential users with many followers and verified accounts are more likely to receive the most toxic replies from the anti-vaxxers. However, pro-vaccine accounts with a few followers receive highly toxic replies in English, which is different from the Japanese case. These results provide insights into both language-dependent and independent countermeasures against anti-vaxxers’ aggressive behaviour.

    DOI: 10.1057/s41599-022-01245-x

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    Other Link: https://www.nature.com/articles/s41599-022-01245-x

  • Psycho-linguistic differences among competing vaccination communities on social media Reviewed

    J. Shi, P. Ghasiya, K. Sasahara

    APSIPA Transactions on Signal and Information Processing   2022.3

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.48550/arXiv.2111.05237

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  • A network-based approach to QAnon user dynamics during COVID-19 infodemic Reviewed

    W. Xu, K. Sasahara

    APSIPA Transactions on Signal and Information Processing   2022.3

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.48550/arXiv.2111.00537

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  • Development of the Japanese Version of the Linguistic Inquiry and Word Count Dictionary 2015 Reviewed

    Tasuku Igarashi, Shimpei Okuda, Kazutoshi Sasahara

    Frontiers in Psychology   2022.3

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.3389/fpsyg.2022.841534

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  • Constructive Models of Complex Phenomena in Human Society

    Kazutoshi Sasahara

    37 ( 1 )   50 - 55   2022.1

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.11517/jjsai.37.1_50

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  • Characterizing the Anti-Vaxxers’ Reply Behavior on Social Media Reviewed

    Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, Kazutoshi Sasahara

    IEEE/WIC/ACM International Conference on Web Intelligence   2021.12

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:ACM  

    DOI: 10.1145/3498851.3498934

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  • Morality-Based Assertion and Homophily on Social Media: A Cultural Comparison Between English and Japanese Languages Reviewed

    Maneet Singh, Rishemjit Kaur, Akiko Matsuo, S. R. S. Iyengar, Kazutoshi Sasahara

    Frontiers in Psychology   12 ( 768856 )   2021.11

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.3389/fpsyg.2021.768856

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  • Characterizing the roles of bots on Twitter during the COVID-19 infodemic Reviewed

    Wentao Xu, Kazutoshi Sasahara

    Journal of Computational Social Science   2021.8

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    <title>Abstract</title>An infodemic is an emerging phenomenon caused by an overabundance of information online. This proliferation of information makes it difficult for the public to distinguish trustworthy news and credible information from untrustworthy sites and non-credible sources. The perils of an infodemic debuted with the outbreak of the COVID-19 pandemic and bots (i.e., automated accounts controlled by a set of algorithms) that are suspected of spreading the infodemic. Although previous research has revealed that bots played a central role in spreading misinformation during major political events, how bots behavior during the infodemic is unclear. In this paper, we examined the roles of bots in the case of the COVID-19 infodemic and the diffusion of non-credible information such as “5G” and “Bill Gates” conspiracy theories and content related to “Trump” and “WHO” by analyzing retweet networks and retweeted items. We show the segregated topology of their retweet networks, which indicates that right-wing self-media accounts and conspiracy theorists may lead to this opinion cleavage, while malicious bots might favor amplification of the diffusion of non-credible information. Although the basic influence of information diffusion could be larger in human users than bots, the effects of bots are non-negligible under an infodemic situation.

    DOI: 10.1007/s42001-021-00139-3

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    Other Link: https://link.springer.com/article/10.1007/s42001-021-00139-3/fulltext.html

  • Social influence and unfollowing accelerate the emergence of echo chambers Reviewed

    Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer

    Journal of Computational Social Science   4 ( 1 )   381 - 402   2021.5

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    <title>Abstract</title>While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as “echo chambers.” Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending. Users can change both their opinions and social connections based on the information to which they are exposed through sharing. The model dynamics show that even with minimal amounts of influence and unfriending, the social network rapidly devolves into segregated, homogeneous communities. These predictions are consistent with empirical data from Twitter. Although our findings suggest that echo chambers are somewhat inevitable given the mechanisms at play in online social media, they also provide insights into possible mitigation strategies.

    DOI: 10.1007/s42001-020-00084-7

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    Other Link: https://link.springer.com/article/10.1007/s42001-020-00084-7/fulltext.html

  • Appraisal of the Fairness Moral Foundation Predicts the Language Use Involving Moral Issues on Twitter Among Japanese Reviewed

    Akiko Matsuo, Baofa Du, Kazutoshi Sasahara

    Frontiers in Psychology   12 ( 599024 )   2021.4

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Frontiers Media SA  

    Moral appraisals are found to be associated with a person’s individual differences (e.g., political ideology), and the effects of individual differences on language use have been studied within the framework of the Moral Foundations Theory (MFT). However, the relationship between one’s moral concern and the use of language involving morality on social media is not self-evident. The present exploratory study investigated that relationship using the MFT. Participants’ tweets and self-reported responses to the questionnaire were collected to measure the degree of their appraisals according to the five foundations of the MFT. The Japanese version of the Moral Foundations Dictionary (J-MFD) was used to quantify the number of words in tweets relevant to the MFT’s five moral foundations. The results showed that endorsement of the Fairness and Authority foundations predicted the word frequency in the J-MFD across all five foundations. The findings suggest that the trade-off relationship between the Fairness and Authority foundations plays a key role in online language communication. The implications and future directions to scrutinize that foundation are discussed.

    DOI: 10.3389/fpsyg.2021.599024

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  • Twitterデータを用いた 新型コロナ禍における転売現象の分析 ―転売商品のトレンドと消費者心理― Invited

    奥田 慎平, 笹原 和俊

    オペレーションズ・リサーチ   66 ( 4 )   224 - 231   2021.4

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    Authorship:Last author, Corresponding author   Language:Japanese  

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  • 熱狂するファンダム ― プロ野球ファンのツイートを分析する ― Invited Reviewed

    水野 誠, 佐野 幸恵, 笹原 和俊

    マーケティングジャーナル   40 ( 4 )   6 - 18   2021.3

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    Language:Japanese  

    DOI: 10.7222/marketing.2021.015

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  • Development of the English Perfect Construction Reviewed

    Michio Hosaka, Shimpei Okuda, Kazutoshi Sasahara

    The Evolution of Language: Proceedings of the 13th International Conference (EvoLang13)   2020.4

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • You are what you eat: A social media study of food identity Reviewed

    Kazutoshi Sasahara

    Journal of Computational Social Science   4 ( 1 )   381 - 402   2019.3

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s42001-019-00039-7

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  • Development and validation of the Japanese Moral Foundations Dictionary Reviewed

    A. Matsuo, K. Sasahara, Y. Taguchi, M. Karasawa

    PLoS ONE   14 ( 3 )   e0213343   2019.3

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1371/journal.pone.0213343

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  • Moral divide in social media: A case of LGBT tweets Reviewed

    笹原和俊, DU Baofa

    社会情報学(Web)   8 ( 2 )   65 - 77   2019

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    Authorship:Lead author   Language:Japanese  

    J-GLOBAL

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  • Inference of personal attributes from tweets using machine learning Reviewed

    Take Yo, Kazutoshi Sasahara

    Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017   2018-   3168 - 3174   2018.1

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Institute of Electrical and Electronics Engineers Inc.  

    DOI: 10.1109/BigData.2017.8258295

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  • Visualizing Collective Attention Using Association Networks Reviewed

    K. Sasahara

    NEW GENERATION COMPUTING   34 ( 4 )   323 - 340   2016.10

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s00354-016-0402-z

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  • Acoustic sequences in non-human animals: a tutorial review and prospectus Reviewed

    A. Kershenbaum, D. T. Blumstein, M. A. Roch, C. Akcay, G. Backus, M. A. Bee, K. Bohn, Y. Cao, G. Carter, C. Caesar, M. Coen, S. L. DeRuiter, L. Doyle, S. Edelman, R. Ferrer-i-Cancho, T. M. Freeberg, E. C. Garland, M. Gustison, H. E. Harley, C. Huetz, M. Hughes, J. H. Bruno, A. Ilany, D. Z. Jin, M. Johnson, C. Ju, J. Karnowski, B. Lohr, M. B. Manser, B. McCowan, E. Mercado, P. M. Narins, A. Piel, M. Rice, R. Salmi, K. Sasahara, L. Sayigh, Y. Shiu, C. Taylor, E. E. Vallejo, S. Waller, V. Zamora-Gutierrez

    BIOLOGICAL REVIEWS   91 ( 1 )   13 - 52   2016.2

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1111/brv.12160

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  • Quantifying moral foundations from various topics on Twitter conversations Reviewed

    R. Kaur, K. Sasahara

    2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)   2505 - 2512   2016

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    DOI: 10.1109/BigData.2016.7840889

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  • Concurrent Bursty Behavior of Social Sensors in Sporting Events Reviewed

    Y. Takeichi, K. Sasahara, R. Suzuki, T. Arita

    PLOS ONE   10 ( 12 )   e0144646   2015.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1371/journal.pone.0144646

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  • A rhythm landscape approach to the developmental dynamics of birdsong Reviewed

    K. Sasahara, O. Tchernichovski, M. Takahasi, K. Suzuki, K. Okanoya

    JOURNAL OF THE ROYAL SOCIETY INTERFACE   12 ( 112 )   20150802   2015.11

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1098/rsif.2015.0802

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  • Visualizing collective attention using association networks Reviewed

    Kazutoshi Sasahara

    Transactions of the Japanese Society for Artificial Intelligence   30 ( 6 )   802 - 810   2015.10

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japanese Society for Artificial Intelligence  

    DOI: 10.1527/tjsai.B-MDF02

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  • Tracking Time Evolution of Collective Attention Clusters in Twitter: Time Evolving Nonnegative Matrix Factorisation Reviewed

    S Saito, Y Hirata, K Sasahara, H Suzuki

    PLOS ONE   10 ( 9 )   e0139085   2015.9

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1371/journal.pone.0139085

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  • 都知事選2014における"More Tweets, More Votes"仮説の検証 Reviewed

    田中一輝, 笹原和俊

    インタラクション2015   21 - 27   2015.3

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

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  • SNSにおけるコミュニケーション動態と集合現象の創発 Reviewed

    K. Sasahara

    計測と制御   53 ( 9 )   841 - 846   2014.9

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Society of Instrument and Control Engineers  

    DOI: 10.11499/sicejl.53.841

    CiNii Books

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  • Twitter as Social Sensor: Dynamics and Structure in Major Sporting Events Reviewed

    Y. Takeichi, K. Sasahara, R. Suzuki, T. Arita

    ALIFE14: Proceedings of the 14th International Conference on the Simulation and Synthesis of Living Systems   778 - 784   2014.7

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  • Quantifying collective mood by emoticon networks Reviewed

    Kazutoshi Sasahara

    WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference   253 - 254   2014

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Association for Computing Machinery  

    DOI: 10.1145/2615569.2615658

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  • Emergence of Collective Attention and Dynamics of Retweet Networks Reviewed

    K. Sasahara, Y. Hirata, M. Toyoda, M. Kitsuregawa, K. Aihara

    Proceedings of ECAL 2013 Workshop on Collective Behaviours and Social Dynamics   27   23 - 24   2013.9

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    CiNii Books

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  • Stepwise acquisition of vocal combinatorial capacity in songbirds and human infants Reviewed

    D. Lipkind, G. F. Marcus, D. K. Bemis, K. Sasahara, N. Jacoby, M. Takahasi, K. Suzuki, O. Feher, P. Ravbar, K. Okanoya, O. Tchernichovski

    NATURE   498 ( 7452 )   104 - +   2013.6

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1038/nature12173

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  • Quantifying Collective Attention from Tweet Stream Reviewed

    K. Sasahara, Y. Hirata, M. Toyoda, M. Kitsuregawa, K. Aihara

    PLOS ONE   8 ( 4 )   e61823   2013.4

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1371/journal.pone.0061823

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  • Structural Design Principles of Complex Bird Songs: A Network-Based Approach Reviewed

    K. Sasahara, M. L. Cody, D. Cohen, C. E. Taylor

    PLOS ONE   7 ( 9 )   e44436   2012.9

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1371/journal.pone.0044436

    Web of Science

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  • Evolution of Word Frequency Distribution Based on Prediction Dynamics Reviewed

    K. Sasahara

    Proceedings of the Workshops of the 9th International Conference on the Evolution of Language (EVOLANG9)   93 - 94   2012.3

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  • Evolution of Small-World Birdsong Syntax: An Implication to Language Evolution Reviewed

    K. Sasahara, M. L. Cody, C. E. Taylor

    Proceedings of the 9th International Conference on Evolution of Language (EVOLANG9)   533 - 534   2012.3

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  • Information-Theoretic Analysis for Understanding the Behavior of Song Learning by the Bengalese Finch Reviewed

    K. Md. M. Salam, T. Nishino, K. Sasahara, M. Takahasi, K. Okanoya

    Information Processing Society of Japan Online Transactions   4   183 - 192   2011.7

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Information Processing Society of Japan  

    Songbirds have been actively studied for their complex brain mechanism of sensor-motor integration during song learning. Male Bengalese finches learn singing by imitating external models to produce songs. In general, birdsong which is string of sounds is represented by a sequence of letters called song notes. In this study, we focus on information-theoretic analysis of these sequential data to explore the complexity and diversity of birdsong, and learning process throughout song development. We design and develop the analysis tool which has many features to do analysis for the sequential data. For experiment, we employ thirteen male Bengalese finches, each with different bouts of song data. By applying ethological data mining to these data, we discover that the finches follow two types of song learning mechanism: practice mode and adopt mode. In addition, over the analysis we find that it is possible to visualize the song features, e.g., traditional transmission, by contour surface diagram of the transition matrix. Furthermore, we can easily identify the families from these contour surface diagrams, which is a very challenging task in general. Our obtained results indicate that analysis based on data mining is a versatile technique to explore new aspects related to behavioral science.

    DOI: 10.2197/ipsjtrans.4.183

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  • A Feasible Approach for Automatic Detection and Recognition of the Bengalese Finch Songnotes and Their Sequences Reviewed

    K. Md. M. Salam, T. Nishino, K. Sasahara, M. Takahasi, K. Okanoya

    Journal of Intelligent Learning Systems and Applications   2   221 - 228   2010.1

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    DOI: 10.4236/jilsa.2010.24025

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  • CONSIDERING LANGUAGE EVOLUTION FROM BIRDSONG DEVELOPMENT Reviewed

    K. Sasahara, M. Takahasi, K. Suzuki, O. Feher, O. Tchernichovski, K. Okanoya

    EVOLUTION OF LANGUAGE, PROCEEDINGS   479 - +   2010

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  • Ethological data mining: an automata-based approach to extract behavioral units and rules Reviewed

    Y. Kakishita, K. Sasahara, T. Nishino, M. Takahasi, K. Okanoya

    DATA MINING AND KNOWLEDGE DISCOVERY   18 ( 3 )   446 - 471   2009.6

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    DOI: 10.1007/s10618-008-0122-1

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  • Automation in extracting the songnote and it's sequence of the Bengalese finch song by using image processing

    Khan Md. Mahfuzus Salam, Tetsuro Nishino, Kazutoshi Sasahara, Miki Takahasi, Kazuo Okanoya

    TriSAI 2009 - Proceedings of Triangle Symposium on Advanced ICT 2009   21 - 26   2009

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  • Abnormal Isolate Birdsong Evolves into Normal Song Over a Few Generations in An Isolated Semi-Natural Colony Reviewed

    O. Fehér, P. P. Mitra, K. Sasahara, O. Tchernichovski

    Proceedings of the 7th International Conference on Evolution of Language (EVOLANG7)   423 - 424   2008.2

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  • Evolution of birdsong syntax by interjection communication Reviewed

    Kazutoshi Sasahara, Takashi Ikegami

    Artificial Life   13 ( 3 )   259 - 277   2007.6

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    DOI: 10.1162/artl.2007.13.3.259

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  • Evolution of birdsong grammars Reviewed

    K. Sasahara, T. Ikegami

    NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE   3609   305 - +   2007

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    DOI: 10.1007/978-3-540-71009-7_27

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  • Simulated evolution of discourse with coupled recurrent networks Reviewed

    K. Sasahara, B. Merker, K. Okanoya

    PROGRESS IN ARTIFICIAL LIFE, PROCEEDINGS   4828   107 - +   2007

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    DOI: 10.1007/978-3-540-76931-6_10

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  • Pattern extraction improves automata-based syntax analysis in songbirds Reviewed

    Y. Kakishita, K. Sasahara, T. Nishino, M. Takahasi, K. Okanoya

    PROGRESS IN ARTIFICIAL LIFE, PROCEEDINGS   4828   320 - +   2007

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    DOI: 10.1007/978-3-540-76931-6_28

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  • The Roles of Segmentation Ability in Language Evolution Reviewed

    K. Sasahara, B. Merker, K. Okanoya

    Proceedings of the 6th International Conference (EVOLANG6)   440 - 441   2006.4

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  • Birdsong as a Computational Model of Language Reviewed

    K. Sasahara, Y. Kakishita, T. Nishino, M. Takahasi, K. Okanoya

    Proceedings of International Symposium on Advanced ICT (AICT2006)   233 - 240   2006.2

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  • A reversible automata approach to modeling birdsongs Reviewed

    K. Sasahara, Y. Kakishita, T. Nishino, M. Takahasi, K. Okanoya

    CIC 2006: 15TH INTERNATIONAL CONFERENCE ON COMPUTING, PROCEEDINGS   80 - +   2006

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/CIC.2006.14

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  • Constructing song syntax by automata induction Reviewed

    K. Sasahara, Y. Kakishita, T. Nishino, M. Takahasi, K. Okanoya

    GRAMMATICAL INFERENCE: ALGORITHMS AND APPLICATIONS, PROCEEDINGS   4201   351 - 353   2006

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/11872436_33

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  • Evolution of song communication in a 2D space Reviewed

    K. Sasahara, T. Ikegami

    ADVANCES IN ARTIFICAL LIFE, PROCEEDINGS   3630   835 - 844   2005

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/11553090_84

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  • Song grammars as complex sexual displays Reviewed

    K. Sasahara, T. Ikegami

    ARTIFICIAL LIFE IX   194 - 199   2004

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    Web of Science

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  • Experimental study of positron production from a W single crystal by the KEK 8-GeV electron linac beam Reviewed

    H. Okuno, S. Anami, A. Enomoto, K. Furukawa, K. Kakihara, T. Kamitani, Y. Ogawa, A. Ohsawa, T. Oogoe, T. Suwada, R. Hamatsu, K. Sasahara, T. Fujita, K. Umemori, K. Yoshida, V. Ababiy, A. P. Potylitsin, I. E. Vnukov

    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS   201 ( 1 )   259 - 265   2003.1

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/S0168-583X(02)01138-2

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  • Measurement of positron production efficiency from a tungsten monocrystalline target using 4-and 8-GeV electrons Reviewed

    T. Suwada, S. Anami, R. Chehab, A. Enomoto, K. Furukawa, K. Kakihara, T. Kamitani, Y. Ogawa, S. Ohsawa, T. Oogoe, H. Okuno, T. Fujita, K. Umemori, K. Yoshida, R. Hamatsu, K. Sasahara, V. Ababiy, A. P. Potylitsyn, I. E. Vnukov

    PHYSICAL REVIEW E   67 ( 1 )   016502   2003.1

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1103/PhysRevE.67.016502

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  • Measurement of positron production efficiency from a tungsten monocrystalline target using 4- and 8-GeV electrons Reviewed

    T. Suwada, S. Anami, R. Chehab, A. Enomoto, K. Furukawa, K. Kakihara, T. Kamitani, Y. Ogawa, S. Ohsawa, T. Oogoe, H. Okuno, T. Fujita, K. Umemori, K. Yoshida, R. Hamatsu, K. Sasahara, V. Ababiy, A. P. Potylitsyn, I. E. Vnukov

    Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics   67 ( 1 )   8   2003

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    DOI: 10.1103/PhysRevE.67.016502

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  • Coevolution of birdsong grammar without imitation Reviewed

    K. Sasahara, T. Ikegami

    ADVANCES IN ARTIFICIAL LIFE, PROCEEDINGS   2801   482 - 490   2003

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    Web of Science

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  • Positron production from a tungsten single crystal at the KEK 8-GeV electron linac Reviewed

    K. Sasahara, R. Hamatsu, S. Anami, A. Enomoto, K. Furukawa

    2001.9

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Books

  • フェイクニュースを科学する 拡散するデマ、陰謀論、プロパガンダのしくみ

    笹原 和俊( Role: Sole author)

    化学同人  2018.12  ( ISBN:9784759816792

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    Total pages:192   Language:Japanese  

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  • 日本の分断はどこにあるのか スマートニュース・メディア価値観全国調査から検証する

    池田 謙一, 前田 幸男, 山脇 岳志( Role: Joint author第6章 日本人の道徳的な傾向は分断に結びついているのか――道徳的価値観による分断)

    勁草書房  2024.10  ( ISBN:9784326603756

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    Book type:General book, introductory book for general audience

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  • A First Course in Network Science

    ( Role: Joint translator ,  Original_author: Filippo Menczer, Santo Fortunato, Clayton A.Davis)

    2023.12  ( ISBN:9784621308981

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  • デジタルプラットフォームと偽情報

    笹原和俊

    スマートニュースメディア研究所ウェブサイト  2023.3 

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  • ネット世論操作とデジタル影響工作

    一田 和樹, 齋藤 孝道, 藤村 厚夫, 藤代 裕之, 笹原 和俊, 佐々木 孝博, 川口 貴久, 岩井 博樹( Role: Joint author)

    原書房  2023.3  ( ISBN:9784562072651

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  • 世界のニュースに隠された 大嘘を見破る方法

    渡辺 惣樹, 笹原 和俊, 後藤 武士, 谷本 真由美( Role: Joint author)

    宝島社  2023.3  ( ISBN:9784299040930

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  • インフォデミック時代におけるフェイクメディア克服の最前線

    越前 功, 馬場口 登, 笹原 和俊( Role: Joint author)

    人工知能学会誌 Vol.38 No.2  2023.3 

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  • ディープフェイクの衝撃 AI技術がもたらす破壊と創造

    笹原和俊( Role: Sole author)

    PHP研究所  2023.2  ( ISBN:9784569852614

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  • Web3とフェイクニュース

    笹原和俊

    リクルートWorks175  2023.2 

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  • インフォデミックを計算社会科学で読み解く

    笹原和俊(日本評論社)

    経済セミナー 729号  2022.11 

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  • フェイクニュースと認知バイアス

    笹原和俊(科学)

    青淵 第884号  2022.11 

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  • SNSの分断を防ぐためのナッジ

    笹原和俊

    アクシオン  2022.10 

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  • 有効なフェイクニュース対策とは?

    笹原和俊

    リクルートWorks174  2022.10 

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  • 数理社会学事典

    数理社会学会, 数理社会学事典刊行委員会( Role: Joint editor15-1 計算社会科学とは何か)

    丸善出版  2022.8  ( ISBN:9784621306659

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    Total pages:760   Responsible for pages:4   Language:Japanese   Book type:Dictionary, encyclopedia

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  • 「情報生態系」の仕組みを理解する

    笹原和俊

    リクルートWorks173  2022.8 

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  • SNSの中で“つくられる真実”と“対立する正しさ”

    笹原 和俊(心理学ワールド 98号)

    公益社団法人日本心理学会  2022.7 

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    Language:Japanese  

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  • 研究開発の俯瞰報告書 システム・情報科学技術分野 2021年

    科学技術振興機構研究開発戦略センター( Role: Contributor2.3.5 計算社会科学)

    日経印刷  2021.10  ( ISBN:9784865792911

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    Responsible for pages:363-372   Language:Japanese   Book type:Report

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  • プロ野球「熱狂」のメカニズム : ファン行動とマネジメントの計算社会科学

    水野 誠, 稲水 伸行, 笹原 和俊( Role: Joint authorChapter 2;終章)

    東京大学出版会  2021.8  ( ISBN:9784130403030

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    Total pages:xi, 161p   Language:Japanese  

    CiNii Books

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  • フェイクニュースを科学する : 拡散するデマ、陰謀論、プロパガンダのしくみ(追補版)

    笹原, 和俊

    化学同人  2021.7  ( ISBN:9784759825039

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    Total pages:206p   Language:Japanese  

    CiNii Books

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  • 現代思想 2021年5月号

    笹原和俊( Role: Joint authorフェイクニュースと情報生態系の進化)

    青土社  2021.5  ( ISBN:9784791714148

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    Total pages:246p   Responsible for pages:pp.171-180   Language:Japanese   Book type:General book, introductory book for general audience

    CiNii Books

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  • 実験医学増刊 Vol.39 No.2 パンデミック時代の感染症研究〜病原体の病原性、多様性、生活環から新型コロナウイルスを取り巻く社会の動きまで International journal

    笹原和俊( Role: Joint authorインフォデミック)

    羊土社  2021.1  ( ISBN:9784758103923

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    Total pages:209p   Responsible for pages:pp.188-193   Language:Japanese   Book type:Scholarly book

    CiNii Books

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  • 計算社会科学入門

    鳥海, 不二夫, 石井, 晃, 岡田, 勇, 上東, 貴志, 小林, 哲郎, 榊, 剛史, 笹原, 和俊, 高野, 雅典, 瀧川, 裕貴, 常松, 淳, 三浦, 麻子, 水野, 貴之, 山本, 仁志, 吉田, 光男( Role: Joint author)

    丸善出版  2021.1  ( ISBN:9784621305966

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    Total pages:x, 307p   Language:Japanese  

    CiNii Books

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  • AI事典 第3版

    笹原 和俊( Role: Contributor集合知 (pp. 245-246))

    近代科学社  2019.12  ( ISBN:9784764906044

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    Total pages:x, 384p   Language:Japanese  

    ※この商品は固定レイアウトで作成されており、タブレットなど大きいディスプレイを備えた端末で読むことに適しています。また、文字列のハイライトや検索、辞書の参照、引用などの機能が使用できません。<br /><br /> AIはいまや,さまざまな研究の根幹をなしており,関わる分野も多岐にわたる。本書は,人工知能(AI)研究を牽引する代表的な研究者が編・著を務め,各研究カテゴリーの最前線で活躍する100余名の気鋭の研究者が執筆を手掛けた事典である。<br /> コンセプトは「執筆者の主観を軸に,読者が興味を持って面白く読める内容にすること」。従来の主要テーマのほか,ディープラーニング,AIにおける論争,汎用人工知能など,いま外せないトピックスを幅広く解説する。<br /> AI研究者はもちろん,工学,理学,脳科学,医学,薬学,農学,社会学,哲学など,すべての分野の学生・研究者の未来に影響を与える,ターニングポイントとなる書!!<br />【目次】<br />第1章 イベント・人物<br />第2章 汎用人工知能<br />第3章 機械学習<br />第4章 AIにおける論争<br />第5章 シンギュラリティ<br />第6章 環境知能<br />第7章 ヴィジョン<br />第8章 ロボット<br />第9章 創作する知能<br />第10章 ゲーム<br />第11章 社会デザイン<br />第12章 コミュニケーション<br />第13章 脳

    CiNii Books

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  • 生き物と音の事典

    笹原 和俊( Role: Contributor生物の音の分析に使われるソフトウェア(p.229))

    朝倉書店  2019.11  ( ISBN:4254171676

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    Total pages:464   Language:Japanese  

    CiNii Books

    ASIN

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  • 人工知能 Vol.34 No.2

    笹原 和俊( Role: Contributorつぶやきの中のモラル)

    オーム社  2019.3 

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    Total pages:278   Responsible for pages:146-151   Language:Japanese   Book type:Scholarly book

    2019/3/8 特集:「道徳判断の自動化をめぐる問題:規範の選択と協力の進化」つぶやきの中のモラル

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  • Society and Survey [Syakai to Chosa]

    Kazutoshi Sasahara( Role: Joint author)

    2019  ( ISBN:9784903473864

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    Total pages:133p   Language:Japanese  

    CiNii Books

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  • 行動生物学辞典

    笹原 和俊( Role: Joint author社会ネットワーク, 象徴, 伝承, 同期化)

    東京化学同人  2013.11  ( ISBN:4807908375

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    Total pages:442   Language:Japanese   Book type:Dictionary, encyclopedia

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  • Being There

    K. Sasahara( Role: Joint translator)

    2012.11  ( ISBN:4757102674

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    Language:Japanese   Book type:General book, introductory book for general audience

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  • 進化言語学の構築―新しい人間科学を目指して

    笹原 和俊( Role: Joint author言語進化の動的理解ー生物言語学と構成論的モデルによるアプローチ (pp. 219-239))

    ひつじ書房  2012.3  ( ISBN:4894765942

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    Language:Japanese   Book type:Scholarly book

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  • 思想地図β vol.1

    笹原 和俊( Role: Joint author鳥の複雑なツイートとその進化的デザイン (pp.174-189))

    ゲンロン  2010.12  ( ISBN:4990524306

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    Language:Japanese   Book type:General book, introductory book for general audience

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  • 言語科学の百科事典

    笹原 和俊( Role: Joint authorニューラルネットワーク (pp. 524-525) , 生物のコミュニケーション進化 (pp. 526-527)のモデル)

    丸善  2006.7  ( ISBN:4621077333

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    Language:Japanese   Book type:Dictionary, encyclopedia

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MISC

  • OS-1計算社会科学 Invited

    榊剛史, 笹原和俊, 高野雅典, 瀧川裕貴, 鳥海不二夫, 吉田光男

    人工知能   36 ( 5 )   594 - 598   2021.9

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    DOI: 10.11517/jjsai.36.5_594

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  • Text Mining Approach to Quantify Consumer Psychology and Behavior in COVID-19 Pandemic

    笹原和俊, 奥田慎平, 五十嵐祐, 五十嵐祐

    人工知能学会全国大会論文集(Web)   35th   2021

  • フェイクニュース問題:計算社会科学によるアプローチ

    笹原和俊

    公開ワークショップ報告書 意思決定のための情報科学-情報氾濫・フェイク・分断に立ち向かうことは可能か 令和元年   2020

  • パンデミック-新型ウイルスと科学 デマや陰謀論はなぜネット上を拡散するのか?

    笹原和俊

    現代化学   592 ( 592 )   45 - 47   2020

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    Authorship:Lead author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)  

    J-GLOBAL

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  • 計算社会科学による新型コロナウイルス関連相談分析の試み

    鳥海不二夫, 笹原和俊, 奥田慎平, 福原奈央

    国民生活研究   60 ( 2 )   2020

  • Quantifying Cultural Evolution of Language Using Large-Scale Corpora

    奥田慎平, 保坂道雄, 笹原和俊, 笹原和俊

    人工知能学会全国大会(Web)   34th   2020

  • Merits and demerits of the web

    笹原和俊

    情報の科学と技術   70 ( 6 )   2020

  • 「道徳判断の自動化をめぐる問題:規範の選択と協力の進化」つぶやきの中のモラル

    笹原和俊, 笹原和俊

    人工知能   34 ( 2 )   2019

  • フェイクニュース現象の計算社会科学

    笹原和俊, 笹原和俊

    電子情報通信学会大会講演論文集(CD-ROM)   2019   2019

  • A Social Media Analysis of Collective Enthusiasm in Japanese Professional Baseball

    杉森真樹, 水野誠, 笹原和俊, 笹原和俊

    人工知能学会全国大会(Web)   33rd   2019

  • 計算社会科学による人間・社会のわかり方

    笹原和俊, 笹原和俊

    電子情報通信学会技術研究報告   119 ( 99(DE2019 1-14)(Web) )   2019

  • Morality in Japanese Lyrics: A Text Analysis Based on Moral Foundations Theory

    田口靖啓, 笹原和俊, 笹原和俊

    人工知能学会全国大会論文集(CD-ROM)   32nd   2018

  • Quantification of Diverse Personal Attributes in Tweets

    余岳, 佐治礼仁, 笹原和俊

    人工知能学会全国大会論文集(CD-ROM)   32nd   2018

  • Detection of Social Bots: Quantification of Language Independent Features and Bot Clusters

    杉森真樹, 笹原和俊, 笹原和俊, 時田恵一郎

    人工知能学会全国大会論文集(CD-ROM)   32nd   2018

  • 日本語テキスト解析のための感情辞書標準版の作成と公開:ビッグデータ時代の心理分析に向けて

    五十嵐祐, 笹原和俊

    電気通信普及財団研究調査助成報告書(Web)   ( 33 )   2018

  • Emergent Dynamics of Echo Chambers

    笹原和俊, 笹原和俊, 笹原和俊, CIAMPAGLIA Giovanni Luca, FLAMMINI Alessandro, MENCZER Filippo

    人工知能学会全国大会論文集(CD-ROM)   31st   2017

  • Computational Social Science(My Bookmark) Reviewed

    Kazutoshi Sasahara

    30 ( 6 )   856 - 859   2015.11

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    CiNii Books

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    Other Link: http://id.nii.ac.jp/1004/00000742/

  • ハッシュタグの種類とツイートダイナミクスの関係性

    武市融紀, 笹原和俊, 鈴木麗璽, 有田隆也

    第76回全国大会講演論文集   2014 ( 1 )   145 - 146   2014.3

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    ソーシャルメディア上のユーザーの集合的な振る舞いを分析し,社会学的知見を得ようという研究が盛んである.本研究ではTwitterのハッシュタグに注目して,継続して興味を惹きつけられる事象をTwitterを通して観測することで,特別な状態下における投稿内容やユーザー間の相互作用の形態を調査した.具体的には,野球とF1に関するハッシュタグの付いたツイートを収集し,戦況と対比させながら,ツイートの内容と数の変化,被リツイートとメンション方向への有向エッジを持つユーザーネットワークの時間変化を調査した.各ハッシュタグについて,ユーザーの相互作用が戦況を即座に反映する傾向にあるものとそうでないものが見られた.

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  • Dynamics of Collective Mood in Online Social Networks

    28   1 - 3   2014

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    CiNii Books

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  • A New Ethological Study Based on Large-Scale Behavioral Data(<Special Issue>Synthesis and Analysis of Massive Data Flow) Reviewed

    Kazutoshi Sasahara, Miki Takahasi, Kenta Suzuki, Kazuo Okanoya, Institute of Industrial Science The University of Tokyo, Graduate School of Arts and Sciences The University of Tokyo, ERATO Okanoya Emotional Information Project JST:RIKEN BSI, Graduate School of Arts and Sciences The University of Tokyo:ERATO Okanoya Emotional Information Project JST

    27 ( 4 )   418 - 423   2012.7

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    Language:Japanese   Publishing type:Rapid communication, short report, research note, etc. (scientific journal)  

    CiNii Books

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    Other Link: http://id.nii.ac.jp/1004/00008017/

  • 18aWD-10 Evolution of Songbird Communication in a 2D Space

    Sasahara Kazutoshi, Ikegami Takashi

    Meeting abstracts of the Physical Society of Japan   62 ( 1 )   241 - 241   2007.2

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  • 27aWD-9 Dynamics of Language Acquisition with Intentional Motion

    Sasahara Kazutoshi, Ikegami Takashi

    Meeting abstracts of the Physical Society of Japan   59 ( 1 )   263 - 263   2004.3

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  • Model Study of Evolution of Finite State Grammer

    Sasahara K., Ikegami T.

    Meeting abstracts of the Physical Society of Japan   58 ( 1 )   275 - 275   2003.3

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Presentations

  • XFinch Experiment: How Can We Leverage AI Tools on Social Media?

    K. Sasahara

    Agents of Influence: 60 Years of Connections  2025.10 

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    Language:English   Presentation type:Symposium, workshop panel (public)  

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  • Warning Labels;in;he;Age of Deepfakes: Timing, Frequency;Unintended Consequences

    K. Sasahara, C. Jiayu

    The 4th Annual Trust and Safety Research Conference  2025.9 

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    Event date: 2025.9

    Language:English   Presentation type:Oral presentation (general)  

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  • When and How Often? Effects of Warning Labels on Dubious Video Sharing

    J. Chen, B. T. Sugano, T. Igarashi, K. Sasahara

    11th International Conference on Computational Social Science 

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    Event date: 2025.7

    Language:English   Presentation type:Poster presentation  

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  • Marketing Strategy Transformation in Alternative Meat Companies: A Longitudinal Analysis of Web

    M. Hashimoto, K. F. Takeda, R. Shineha, A. Matsuo, K. Sasahara

    11th International Conference on Computational Social Science 

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    Event date: 2025.7

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  • Linguistic Pattern Analysis of AI-Generated Fake News for Enhancing Misinformation Detection

    P. Ghasiya, K. Sasahara

    11th International Conference on Computational Social Science 

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    Event date: 2025.7

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  • 知的創造と知的財産:交錯の時代の法制度・科学技術・イノベーション

    笹原和俊

    日本知財学会第21回年次学術研究発表会シンポジウム  2023.11 

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    Event date: 2023.11

    Language:Japanese  

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  • 偽ニュースとディープフェイク(AI技術)に騙されないために

    笹原和俊

    早稲田大学エクステンションセンター中野校秋期オープンカレッジ  2023.11 

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    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • Breaking Echo Chambers Using a Sound-Based Nudge Technology International conference

    2023.9  Stanford Internet Observatory

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    Language:English   Presentation type:Oral presentation (general)  

    Venue:Stanford University   Country:United States  

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  • 「隠す」心理を科学する:インターネット上での「隠す」心理

    笹原和俊

    日本心理学会第87回大会公開シンポジウム  2023.9  日本心理学会

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    Event date: 2023.9

    Language:Japanese  

    Venue:オンライン  

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  • Examining the association between meditation and stress reduction utilizing smart watches International conference

    2023.9 

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    Event date: 2023.9

    Language:Japanese   Presentation type:Poster presentation  

    Country:Japan  

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  • ⽇本の分断はどこにあるのか︖スマートニュースメディア価値観全国調査から

    笹原和俊

    ⽇本社会⼼理学会第64回⼤会  2023.9  上智大学

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    Event date: 2023.9

    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

    Venue:オンライン  

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  • フェイクニュースの生態系:認知とテクノロジーの相互作用 Invited

    笹原和俊

    北海道大学2023年度CHAINサマースクール「言語と認知」  2023.8  北海道大学人間知×脳×AI研究教育センター

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    Event date: 2023.8

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:オンライン  

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  • Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter

    P. Ghasiya, A. Georg, K. Sasahara

    9th International Conference on Computational Social Science  2023.7 

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    Event date: 2023.7

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  • How do Toxic Comments Induce Fearful Responses in Anti-vaccine Videos on YouTube?

    K. Miyazaki

    9th International Conference on Computational Social Science  2023.7 

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    Event date: 2023.7

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  • A Mixed-method Approach to Analyze Deepfake related discussions on Reddit and Twitter

    D. Gamage, K. Sasahara

    9th International Conference on Computational Social Science  2023.7 

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    Event date: 2023.7

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  • 道徳は代替肉の消費意欲を高めるか? オンライン調査による検討

    橋本 萌那, 高澤 陽太朗, 笹原 和俊

    第37回人工知能学会全国大会  2023.6 

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    Language:Japanese  

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  • 情報の非対称性下における「信頼」が集団行動に与える影響に関する一考察

    原田 貴史, 笹原 和俊

    第37回人工知能学会全国大会  2023.6 

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    Language:Japanese  

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  • ソーシャルメディアに見る食の道徳化

    笹原和俊

    ソーシャルメディアワークショップ SMWS22  2023.2 

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    Event date: 2023.2

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • デジタルリテラシーの計量書誌学的分析

    星永亮, 笹原和俊

    第2回計算社会科学会大会(CSSJ2023)  2023.2 

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  • 投稿集団の均一性に着目した日本プロ野球ツイートにおける熱狂現象の分析

    大友直史, 水野誠, 笹原和俊, 佐野幸恵

    第2回計算社会科学会大会(CSSJ2023)  2023.2 

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  • YouTubeの反ワクチン動画におけるトロールコメントの影響:毒性から恐怖の連鎖反応

    宮崎邦洋, 内場崇之, Haewoon Kwak, Jisun An, 笹原和俊

    第2回計算社会科学会大会(CSSJ2023)  2023.2 

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  • ソーシャルメディアにおける文化進化:炎上現象のベイズ統計モデリングによる分析

    清水あおぐ, 笹原和俊, 橋本敬

    第2回計算社会科学会大会(CSSJ2023)  2023.2 

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  • オンライン取引におけるTrust Management Algorithmのダイナミクス

    鈴木亮平, 張一凡, 大橋盛徳, 笹原和俊

    第2回計算社会科学会大会(CSSJ2023)  2023.2 

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  • 道徳は代替肉の消費意欲を高めるか?

    橋本萌那, 高澤陽太朗, 笹原和俊

    第2回計算社会科学会大会(CSSJ2023)  2023.2 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  • Computational Social Science Approaches in Language Evolution Invited

    Kazutoshi Sasahara

    Joint Conference on Language Evolution  2022.9 

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    Language:English   Presentation type:Oral presentation (invited, special)  

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  • Psycho-linguistic differences among competing vaccination communities on social media

    Jialiang Shi, Piyush Ghasiya, Kazutoshi Sasahara

    Joint Conference on Language Evolution 

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    Event date: 2022.9

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  • Moralistic punishment in online flaming

    Aogu Shimizu, Takashi Hashimoto, Kazutoshi Sasahara

    Joint Conference on Language Evolution 

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    Event date: 2022.9

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  • Hate communication on Facebook: The case of the tablighi jamaat controversy

    Piyush Ghasiya, Kazutoshi Sasahara

    Joint Conference on Language Evolution 

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    Event date: 2022.9

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  • Rapid Sharing of Islamophobic Hate on Facebook: The Case of the Tablighi Jamaat Controversy

    P. Ghasiya, K. Sasahara

    8th International Conference on Computational Social Science  2022.7 

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  • Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False Information

    K. Miyazaki

    8th International Conference on Computational Social Science  2022.7 

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  • QAnon user dynamics and topical diversity amid the COVID-19 infodemic

    W. Xu, K. Sasahara

    8th International Conference on Computational Social Science 

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    Event date: 2022.7

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  • Analyzing conversations about deepfakes in Reddit and Twitter

    Dilrukshi Gamage, Kazutoshi Sasahara

    8th International Conference on Computational Social Science 

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    Event date: 2022.7

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  • How Has Food Become a Moral Concern? A Case Study of Meat Alternatives on Twitter

    M. Hashimoto, Y. Takazawa, K. Sasahara

    8th International Conference on Computational Social Science  2022.7 

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    Event date: 2022.7

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  • Predicting personal traits from social data Invited

    Kazutoshi Sasahara

    日仏先端科学(JFFoS)シンポジウム  2022.6 

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    Event date: 2022.6

    Language:English   Presentation type:Symposium, workshop panel (nominated)  

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  • フェイクニュースの共有を促す言語的特徴に関する実験的検討

    加藤周, 橋本萌那, 五十嵐祐, 笹原和俊

    第1回計算社会科学会大会  2022.3 

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    Event date: 2022.2 - 2022.3

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • 代替肉ツイートの変遷にみる「食」の道徳化

    橋本萌那, 高澤陽太朗, 笹原和俊

    第1回計算社会科学会大会  2022.2 

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    Event date: 2022.2 - 2022.3

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • オープンな360度評価は従業員パフォーマンスを予測するか?

    赤澤祥貴, 橋本萌那, 加藤周, 五十嵐祐, 笹原和俊

    第1回計算社会科学会大会  2022.2 

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    Event date: 2022.2 - 2022.3

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  • A network perspective on QAnon movement during COVID-19 infodemic

    Wentao Xu, Kazutoshi Sasahara

    The 10th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021)  2021.11 

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    Event date: 2021.11 - 2021.12

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  • The Emergence of “Deepfakes” and Its Societal Implications: A Systematic Review

    Dilrukshi Gamage

    Conference for Truth and Trust Online 2021  2021.10 

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  • Present and Future of Communications on Social Media

    The 38th Annual Meeting of Japanese Cognitive Science Society  2021.9 

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  • Twitter Bot Networks and Activity Patternsduring the COVID-19 Infodemic International conference

    Wentao Xu, Kazutoshi Sasahara

    7th International Conference on Computational Social Science  2021.7 

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    Event date: 2021.7

    Language:English   Presentation type:Oral presentation (general)  

    We show the segregated topology of their retweet networks during COVID-19 infodemic. Through analyzing bot score, indegrees and common retweeted items, we found out that although the basic influence of information diffusion could be larger in human users than bots, the effects of bots are non-negligible under an infodemic situation.

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  • Anti-Vax Strategy in the Reply Behavior on Social Media International conference

    Kunihiro Miyazaki, Kazutoshi Sasahara

    7th International Conference on Computational Social Science  2021.7 

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    Language:English  

    We empirically analyzed the strategy of anti-vaxxers' reply behavior on Twitter. Among the results, anti-vaxxers more frequently conducted reply behavior to other clusters, and the content of their replies was significantly toxic and emotional. Furthermore, the most-targeted users were so-called "decent" accounts with large numbers of followers.

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  • フェイクニュースを科学する Invited

    笹原和俊

    名古屋・栄中日文化センター講座  2021.7 

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    Event date: 2021.7 - 2021.8

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • 虚偽情報の拡散の仕組み:計算社会科学の見地から

    笹原和俊

    科学基礎論学会ワークショップ  2021.6 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  • Network and behavioural patterns of bots during the early COVID-19 infodemic International coauthorship

    Wentao Xu, Kazutoshi Sasahara

    2021.6 

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    Language:English   Presentation type:Oral presentation (general)  

    In this paper, we examined the roles of bots in the case of the COVID-19 infodemic and the diffusion of non-credible information such as "5G'' and "Bill Gates'' conspiracy theories and "Trump'' and "WHO'' related contents by analyzing retweet networks and retweeted items. We collected Tweet more than 2 million COVID-19 related tweets and used Botometer to identify bots and human users in the retweet network filled with conspiracy theories emerged in the COVID-19 infodemic. We then labelled users as many as possible by examining published credible and non-credible URLs.In addition, we examined the bots and human behavior by counting the frequency of retweeting and finally revealed the top popular words list of human and bots by calculating TF-IDF.
    We show the segregated topology of their retweet networks, which indicates that right-wing self-media accounts and conspiracy theorists may lead to this opinion cleavage, while malicious bots might favor amplification of the diffusion of non-credible information. Although the basic influence of information diffusion could be larger in human users than bots, the effects of bots are non-negligible under an infodemic situation.

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  • テキストマイニングによるコロナ禍の消費者心理・行動の定量化

    笹原和俊, 奥田慎平, 五十嵐祐

    2021年度人工知能学会全国大会(第35回)  2021.6 

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    Language:Japanese   Presentation type:Oral presentation (general)  

    ソーシャルメディアでは日々、リアルタイムで様々な情報が投稿・共有され、中には新型コロナウイルス感染症拡大の影響と消費者生活に関する投稿も少なくない。そのような消費者の自発的な「生の声」(テキスト)には、コロナ禍における消費者心理・行動を定量的に理解するためのシグナルが潜在している。本研究では、コロナ禍における転売現象を対象として、Twitterの大規模ソーシャルデータから消費者心理・行動を定量化し、そこから洞察を得るための分析手法と分析事例について議論する。具体的には、われわれが開発した心理学的カテゴリ辞書「J-LIWC」や道徳辞書「J-MFD」を上記データに適用することで、トイレットペーパーやマスクなど転売された商品の種類によって、異なる消費者感情が換気されたことや、その転売をどのようなモラル違反だと消費者が感じていたのかが可視化された。さらに、単語共起ネットワークを用いた上記データの分析によって、コロナ禍の動向とリンクした転売商品のトレンドや購買行動の変遷が観察された。これらの知見は、ポスト・コロナに向けて社会・経済を再構築していく際のヒントとなる。

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  • エコーチェンバーと政治的イデオロギーの分断

    笹原和俊

    日本選挙学会総会・研究会  2021.5 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

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  • Online echo chamber: What is it and how to break out of it? Invited

    Kazutoshi Sasahara

    Eurasian Summit of models for Society 2021  2021.3 

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    Event date: 2021.3

    Language:English   Presentation type:Oral presentation (invited, special)  

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  • 計算社会科学とは Invited

    笹原和俊

    CCSS School on Computational Social Science「計算社会科学入門」  2021.2 

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    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • Characterizing the roles of bots during the COVID-19 infodemic on Twitter

    Wentao Xu, Kazutoshi Sasahara

    CSSJ2021  2021.2 

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    Language:English   Presentation type:Oral presentation (general)  

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  • Twitterデータを用いた新型コロナ禍における転売現象の分析

    奥田慎平, 笹原和俊

    第5回計算社会科学ワークショップ  2021.2 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  • フェイクニュースとSNSの諸問題 Invited

    笹原和俊

    電気通信協会フォーラム  2020.12 

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    Event date: 2020.12

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • 計算社会科学で探るインフォデミックの予兆 Invited

    笹原和俊

    第11回EAJ中部レクチャー  2020.12 

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    Event date: 2020.12

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • 計算社会科学で探る新型コロナ・インフォデミック

    笹原和俊

    東工大リサーチフェスティバル2020  2020.12 

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    Event date: 2020.12

    Language:Japanese   Presentation type:Symposium, workshop panel (public)  

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  • 多様なつながりを促進するSNS Invited

    笹原和俊

    東工大DLabパートナーズワークショップ2  2020.12 

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    Event date: 2020.12

    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

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  • Polyphony: 多様なつながりを促進するSNS

    笹原和俊, SUGANO Bruno Toshio, 奥田慎平, 佐治礼仁, 加藤周

    2020年度人工知能学会全国大会 (第34回)  2020.6 

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  • Fake News Characterization Using Linguistic Features

    Wental Xu, Kazutoshi Sasahara

    2020.2 

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  • Evolutionary forces in the development of the English perfect construction

    Simplei Okuda, MIchio Hosaka, Kazutoshi Sasahara

    The 25th International Symposium on Artificial Life and Robotics (AROB 2020)  2020.1 

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  • 英語の BE 完了構⽂の盛衰をめぐって

    保坂 道雄, 奥⽥ 慎平

    ⽇本歴史⾔語学会 2019 年⼤会  2019.12 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  • フェイクやヘイトを助⻑するネットの⾔語

    笹原和俊

    ⽇本歴史⾔語学会 2019 年⼤会  2019.12 

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    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

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  • 英語の完了構文の進化ダイナミクス:複数の大規模コーパスを用いた検討

    奥田慎平,保坂道雄,笹原和俊

    第12回人間行動進化学会  2019.12 

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  • Quantifying Starbucksness from Tabelog

    Kazutoshi Sasahara, Bruno Toshio Sugano

    2019.11 

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  • ソーシャルメディアと社会の分断 Invited

    笹原 和俊

    第9回社会神経科学研究会  2019.11 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

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  • 日本プロ野球における熱狂現象の分析:バーストとテキスト

    笹原和俊

    ソーシャルメディア研究ワークショップ2019  2019.11 

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  • 鳥の複雑なさえずりの進化的デザイン Invited

    笹原和俊

    第10回生物数理の理論とその応用  2013.11 

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  • 大規模データに基づく動物行動学の新展開

    笹原和俊, 高橋美樹, 鈴木研太, 岡ノ谷一夫

    第25回人工知能学会全国大会  2011.6 

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  • 人工生命と社会

    笹原和俊

    人工生命研究会  2021.7 

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  • 東日本大震災前後のツイートダイナミクスの解析

    笹原和俊, 平田祥人, 豊田正史, 合原一幸

    ネットワークから創発する知能研究会  2011.9 

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  • Evolution of Small-world Birdsong Syntax: An Implication to Language Evolution International conference

    K. Sasahara, M. L. Cody, C. E. Taylor

    The 9th International Conference on Evolution of Language (EVOLANG9)  2012.3 

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  • Evolution of Word Frequency Distribution Based on Prediction Dynamics International conference

    K. Sasahara

    The Workshops of the 9th International Conference on the Evolution of Language (EVOLANG9)  2012.3 

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  • Twitterネットワークにおける集団注意の創発ダイナミクス Invited

    笹原和俊, 平田祥人, 豊田正史, 合原一幸

    第3回Latent Dynamicsワークショップ  2012.9 

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  • How to Deal with Fake News and Disinformation: Latest Lessons from Israel and Japan

    2021.8 

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  • 鳥の複雑なさえずりの進化的デザイン

    笹原和俊, Martin L. Cody, Charles, E. Taylor

    日本動物行動学会第31回大会  2012.11 

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  • Twitterにおける集合注意の創発とその定量化

    笹原和俊, 平田祥人, 豊田正史, 喜連川優, 合原一幸

    日本物理学会第68回年次大会  2013.3 

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  • Structure and Dynamics of Song Network International conference

    K. Sasahara, M. L. Cody, C. E. Taylor

    The 10th International Conference on Unconventional Computation (UC10)  2010.6 

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  • インフォデミックの計算社会科学 Invited

    笹原和俊

    電子情報通信学会デジタルサービス・プラットフォーム技術 特別研究専門委員会  2021.6 

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  • 複雑な鳥の歌の構造設計原理

    笹原和俊, M. L. Cody, C. E. Taylor

    2010.9 

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  • 差別はなぜ起こるのか ~コロナ禍の心を計算社会科学で読み解く Invited

    笹原和俊

    名古屋市教育センター教頭研修会  2021.6 

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  • 鳥のツイートのデザイン原理、発達と進化のダイナミクス

    笹原 和俊

    第30回社会的知能発生学研究会  2010.10 

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  • フェイクニュース現象のメカニズム:新型コロナ、米大統領選、情報テクノロジー Invited

    笹原和俊

    デジタル民主主義と選挙干渉プロジェクト研究会  2021.2 

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  • 抽象化されたエージェントの談話進化のモデル研究

    笹原和俊, Bjorn Merker, 岡ノ谷一夫

    日本進化学会第9回大会  2007.8 

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  • 抽象化されたエージェントの談話モデルに見られるダイナミクスと統計性

    笹原和俊, Bjorn Merker, 岡ノ谷一夫

    日本物理学会第62回年次大会  2007.9 

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  • ジュウシマツの歌学習に見られる階層的発達のダイナミクス

    笹原和俊, 高橋美樹, 鈴木研太, Olga Fehér, Ofer Tchernichovski, 岡ノ谷一夫

    日本動物行動学会第26回大会  2007.10 

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  • Simulated Evolution of Discourse with Coupled Recurrent Networks International conference

    K. Sasahara, B. Merker, K. Okanoya

    The 3rd Australian Conference on Artificial Life (ACAL2007)  2007.12 

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  • Abnormal isolate birdsong evolves into normal song over a few generations in an isolated semi-natural colony International conference

    O. Fehér, P. P. Mitra, K. Sasahara, O. Tchernichovski

    The 7th International Conference on Evolution of Language (EVOLANG7)  2008.5 

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  • 計算社会科学と社会イノベーション

    笹原和俊

    MOTを知る特別講座2021  2021.4 

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  • ジュウシマツの歌発達における揺らぎと階層性

    笹原和俊, 高橋美樹, 鈴木研太, Olga Fehér, Ofer Tchernichovski, 岡ノ谷一夫

    日本動物行動学会第27回大会  2008.9 

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  • Structural Design Principles of a Complex Birdsong

    K. Sasahara, M. L. Cody, C. E. Taylor

    The 4th International School and Conference on Network Science (NetSci)  2010 

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  • Considering Language Evolution from Birdsong Development International conference

    K. Sasahara, M. Takahasi, K. Suzuki, O. Fehér, O. Tchernichovski

    The 8th International Conference on Evolution of Language (EVOLANG8)  2010.4 

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  • 計算社会科学の試み:ソーシャルデータで読み解く人間行動の複雑性

    K. Sasahara

    2015年度基盤公開セミナー  2015.9 

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  • SNSにおける集合注意の潜在的構造

    K. Sasahara

    ソーシャルメディア研究ワークショップ(SMWS2015)  2015.11 

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  • Collective Behavior of Social Sensors and Its Application to Social Science Invited International conference

    K. Sasahara

    Computational Social Science Workshop in Japan 2016  2016.2 

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  • Twitterで読み解く人間行動のはなし

    Kazutoshi Sasahara

    名古屋大学オープンレクチャー2016  2016.3 

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  • Exploring Semantic Structures of Online Collective Attention International conference

    K. Sasahara

    The 2nd International Conference on Computational Social Science (IC2S2)  2016.6 

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  • Cultural Bases of Moral Ethics: Perceptions of Morality in Japan and in the United States International conference

    A. Matsuo, M. Karasawa, V. Norasakkunkit, K. Sasahara, R. Kaur

    The 23rd International Association for Cross-Cultural Psychology Conference  2016.8 

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  • ツイートの行動学:集合注意の創発と構造

    K. Sasahara

    第37回社会的知能発生学研究会  2015.2 

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  • 集合注意の潜在的構造

    K. Sasahara

    第29回人工知能学会全国大会  2015.5 

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  • Emergence of Novel Collective Phenomena in Twitter International conference

    K. Sasahara

    The 1st International Conference on Computational Social Science (IC2S)  2015.6 

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  • The Validation of “More Tweets, More Votes” Hypothesis in Tokyo Gubernatorial Election 2014 International conference

    K. Tanaka, K. Sasahara

    The FIrst International Conference on Computational Social Science (IC2S2)  2015.6 

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  • Tweet Communication in Birds and Humans Invited International conference

    K. Sasahara

    2015 Joint Meeting of The 5th China-Japan-Korea Colloquium on Mathematical Biology and The Japanese Society for Mathematical Biology  2015.8 

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  • ソーシャルメディアにおける集合現象

    K. Sasahara

    ソーシャルメディア研究会2014  2014.10 

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  • Modeling Birdsong Syntax:Network-based Approaches Invited International conference

    K. Sasahara

    Birdsong: Rhythms and Clues from Neurons to Behavior  2014.11 

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  • SNSにおけるコミュニケーション動態と集合現象の創発

    K. Sasahara

    計測自動制御学会システム 情報部門学術講演会  2014.11 

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  • 「ツイート」の複雑系科学

    K. Sasahara

    第12回複雑系科学セミナー  2014.12 

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  • Exploring Birdsong Structure Using Networks Invited International conference

    K. Sasahara

    The 20th International Symposium on Artificial Life and Robotics (AROB20)  2015.1 

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    2021.10 

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  • 顔文字ネットワークによる集合気分の定量化

    K. Sasahara

    日本物理学会第69回年次大会  2014.3 

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  • インフォデミックの時代のメディアリテラシー

    笹原和俊

    DOJIN文庫創刊オンライントークイベント  2021.10 

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  • SNSにおける集合気分のダイナミクス

    K. Sasahara

    人工知能学会第28回全国大会  2014.5 

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  • フェイクニュースはなぜ拡散するのか?

    笹原和俊

    未来の図書館研究所 第6回シンポジウム「図書館とポスト真実」  2021.11 

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  • Emergence of Collective Attention on Twitter Invited International conference

    K. Sasahara

    Workshop on Massive Data Flow in WebSci 2014  2014.6 

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  • 計算社会科学と社会イノベーション Invited

    笹原和俊

    成城大学データサイエンス教育研究センター シンポジウム  2021.11 

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  • Quantifying Collective Mood by Emoticon Networks International conference

    K. Sasahara

    The ACM Web Science 2014 Conference (WebSci)  2014.6 

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  • 「新型コロナウイルス感染症」と「思い込み」-偏見や差別につながる心の動き-

    笹原和俊

    名古屋市東生涯学習センター 公開講座  2021.11 

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  • 鳥のさえずりの発達学習ダイナミクス

    K. Sasahara

    総合コミュニケーション学第1回研究会  2014.6 

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  • Twitter as Social Sensor: Dynamics and Structure in Major Sporting Events International conference

    Y. Takeichi, K. Sasahara, R. Suzuki, T. Arita

    The 14th International Conference on the Simulation and Synthesis of Living Systems (ALIFE14)  2014.7 

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  • デマ、陰謀論、プロパガンダの影響拡大は防げるのか

    笹原和俊

    株式会社リアルインサイト 講演会  2021.12 

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  • 辞書ベーステキストマイニングによる社会現象の定量化

    笹原和俊

    JIMS分析的マーケティング研究会  2022.1 

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  • コロナ時代のフェイクニュースを科学する

    笹原和俊

    情報科学技術協会新春セミナー  2022.1 

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  • 計算社会科学と社会課題の解決 Invited

    笹原和俊

    滋賀県勉強会「ポストコロナ社会の展望について意見交換」  2022.2 

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  • データから見る社会システムの変容

    笹原和俊

    社会人アカデミー講演会 2021講演会  2021.11 

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  • フェイクニュースを科学する ~デマ・陰謀論・プロパガンダの仕組み~

    笹原和俊

    名古屋商工会議所 中小企業部4部会合同講演会  2021.12 

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  • 計算社会科学と社会イノベーション Invited

    笹原和俊

    第4回共知塾  2022.9 

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  • 機械学習と深層学習を用いたソーシャルデータからの個人属性の推定

    余 岳, 笹原和俊

    第11回テキストアナリティクス・シンポジウム  2017.9  電子情報通信学会

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    Venue:日本,東京  

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  • スマイリーキクチ先生、山口真一先生講演会 Invited

    笹原和俊

    名古屋大学大学院情報学研究科社会情報学専攻情報哲学講座「草の根リテラシー」  2022.9 

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  • 計算社会科学で読み解く社会の「分断」

    笹原和俊

    JAWS2017  2017.9 

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  • 令和4年度市町村職員特別セミナー「フェイクニュース」 Invited

    笹原和俊

    愛知県市町村振興協会 研修センター  2022.9 

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  • Inference of Personal Attributes from Tweets Using Machine Learning International conference

    T. Yo, K. Sasahara

    Proceedings of the 2017 IEEE Big Data  2017.12 

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  • Online Echo Chamber: What Is It and How to Break Out of It? Invited

    Kazutoshi Sasahara

    2023.1 

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  • ツイートが運ぶ個人属性

    余岳, 笹原和俊

    第2回計算社会科学ワークショップ  2018.3 

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  • ソーシャルデータを活用した社会課題の解決 Invited

    笹原和俊

    財務省研修オンライン講演会  2023.1 

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  • 日本語歌詞の道徳性:道徳基盤理論に基づくテキスト分析

    田口靖啓, 笹原和俊

    第2回計算社会科学ワークショップ  2018.3 

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  • 機械学習を用いたソーシャルボットの検出と分析:英語と日本語の比較

    杉森真樹, 笹原和俊, 時田恵一郎

    第2回計算社会科学ワークショップ  2018.3 

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  • AI、フェイクニュース、情報があふれる社会 Invited

    笹原和俊

    四大学連合「第2回 大人のためのゼミ」  2022.7 

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  • Emergence of Echo Chamber Networks: The Effects of Social Media Mechanisms International conference

    K. Sasahara, G. L. Ciampaglia, A. Flammini, F. Menczer

    The 10th International School and Conference on Network Science (NetSci 2017)  2017.6 

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    Venue:Indianapolis, USA  

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  • Modeling Echo Chambers on Social Media International conference

    K. Sasahara, G. L. Ciampaglia, A. Flammini, F. Menczer

    The 3rd International Conference on Computational Social Science (IC2S2)  2017.7 

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    Venue:Cologne, Germany  

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  • Moral Foundations in Online Conversations International conference

    R. Kaur, K. Sasahara

    The 3rd International Conference on Computational Social Science (IC2S2)  2017.7 

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  • Dis/Misinformation Analysis and Countermeasures – A Computational Viewpoint Invited

    Kazutoshi Sasahara

    Asia-Pacific Signal and Information Processing Association  2022.3 

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  • 計算社会科学と社会イノベーション

    笹原和俊

    MOTを知る特別講座2022  2022.3 

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  • 社会課題解決のための計算社会科学 Invited

    笹原和俊

    経団連21世紀政策研究所勉強会  2022.3 

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  • ECサイトにおける個人の評価傾向と信頼の関係についての解析

    鈴木亮平, 張 一凡, 桐淵直人, 芦澤奈実, 笹原和俊

    電子情報通信学会 信頼性研究会  2022.5 

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  • Development and Validation of the Japanese Moral Foundations Dictionary

    A. Matsuo, K. Sasahara, Y. Taguchi, M. Karasawa

    2019.3 

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  • フェイクニュースがあふれるインターネット社会でどうやって生きていくか Invited

    笹原和俊

    一般社団法人小平青年会議所6月度例会講演  2023.6 

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  • 高度化するフェイクニュースの実態

    笹原和俊

    情報処理学会連続セミナー2023  2023.6 

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  • フェイクニュースの現状と今後の課題 Invited

    笹原和俊

    毎日新聞企業人大学3月定期講座  2023.3 

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  • 「ネット世論操作とデジタル影響工作」出版記念ウェビナー Invited

    笹原和俊

    明治大学サイバーセキュリティ研究所  2023.4 

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  • Quantifying "stabucskness" using social data from Tabelog

    B. T. Sugano, K. Sasahara

    2018.11 

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  • ChatGPTとディープフェイクの衝撃―AI技術がもたらす破壊と創造 Invited

    笹原和俊

    PHP総研ブックフォーラム  2023.4 

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  • フェイクニュース現象の計算社会科学

    笹原 和俊

    第3回計算社会科学WS  2019.3 

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  • ビッグデータの活用による社会課題の解決に向けて Invited

    笹原和俊

    けいはんな「エジソンの会」  2023.4 

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  • Relationships of Political Alignment and Personal Attributes: Online Survey and Social Data Analysis

    B. Du, K. Sasahara

    2019.3 

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  • エコーチェンバーとフィルターバブル: プラットフォームが促進するフィードバックループ Invited

    笹原和俊

    総務省プラットフォームサービスに関する研究会(第44回)  2023.5 

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  • 熱狂現象の計算社会科学:日本プロ野球のソーシャルメディア分析

    杉森 真樹, 水野 誠, 笹原 和俊

    第3回計算社会科学WS  2019.3 

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  • 不測の時代の技術者倫理 Invited

    笹原和俊

    公益社団法人日本技術士会 倫理委員会  2023.5 

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  • Understanding "Starbucksness" from Tabelog

    B. T. Sugano, K. Sasahara

    2019.3 

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  • Prevalence of Personal Attributes Found in Twitter Posts

    T. Yo, K. Sasahara

    2019.3 

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  • Emergence of online echo chambers. International conference

    K. Sasahara

    EVOSLACE in ALIFE 2018  2018.7 

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  • フェイクニュースを科学する Invited

    笹原和俊

    精密工学会成形プラスチック歯車研究専門委員会第151回研究会特別講演  2023.2 

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  • Analyzing behavioral complexity of social bots and bot clusters. International conference

    M. Sugimori, K. Sasahara

    EVOSLACE in ALIFE 2018  2018.7 

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  • 計算社会科学と社会イノベーション

    笹原和俊

    MOTを知る特別講座2023  2023.3 

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  • 虚偽情報の拡散現象の定量化:言語的特徴と拡散基盤の分析

    杉森真樹, 笹原和俊

    WiNF 2018  2018.11 

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  • 計算社会科学と社会イノベーション

    笹原和俊

    東工大SSI国際シンポジウム  2023.3 

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  • ツイートが運ぶ多様な個人属性の定量化

    余岳, 笹原和俊

    WiNF 2018  2018.11 

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  • オンライン調査とソーシャルデータに基づく多様な個人属性の関係性の分析

    杜宝発, 笹原和俊

    WiNF 2018  2018.11 

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  • ソーシャルボットの検出:言語非依存性の特徴量とボット集団の定量化

    杉森真樹, 笹原和俊, 時田恵一郎

    2018年度人工知能学会全国大会  2018.6 

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  • Quantification of Diverse Personal Attributes in Tweets

    T. Yo, A. Saji, K. Sasahara

    2018.6 

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  • ⽇本語歌詞の道徳性:道徳基盤理論に基づくテキスト分析

    笹原和俊, 田口靖啓

    2018年度人工知能学会全国大会  2018.6 

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  • Mapping the Moral Domain: A Factor Analysis of Distributed Representations of Moral Words International conference

    R. Kaur, K. Sasahara

    IC2S2 2018  2018.7 

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  • You Are What You Eat: A Social Media Study of Personality Traits International conference

    K. Sasahara

    IC2S2 2018  2018.7 

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    Hitachi Social Innovation Forum 2021 JAPAN  2021.10 

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  • Quantifying Moral Foundations from Various Topics on Twitter Conversations International conference

    R. Kaur, K. Sasahara

    2016.12 

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  • 越える情報学2:計算社会科学の最前線 Invited

    笹原和俊

    情報処理学会第79回全国大会  2017.3 

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  • Inevitability of Online Echo Chambers Invited International conference

    K. Sasahara

    ICWSM 2017 Workshop on Digital Misinformation  2017.5 

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  • エコーチェンバーの生成ダイナミクス

    笹原和俊, G. L. Ciampaglia, A. Flammini, F. Menczer

    人工知能学会第31回全国大会  2017.5 

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  • 計算社会科学の展開:社会理解から価値創造へ

    笹原和俊

    MOT特別セミナー  2023.10 

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  • AI で高度化する ディープフェイク ・フェイクニュースの今後と対応 Invited

    笹原和俊

    株式会社富士通フューチャースタディーズ・センター先端技術研究会  2023.10 

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  • エコーチェンバー現象の計算社会科学

    笹原 和俊

    日本心理学会第83回大会  2019.9 

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    Venue:立命館大学 大阪いばらきキャンパス  

    [SS-066] 公募シンポジウム66
    「分断社会」の心理的起源:計算論的手法で読み解く政治的意見の形成・伝搬過程

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  • AI時代のメディアの在り方 Invited

    笹原和俊

    日本新聞協会論説責任者懇談会  2023.11 

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  • 「複雑系」とは? Invited

    笹原 和俊

    愛知県立旭丘高校SSHイベント  2019.10 

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  • データサイエンスの基礎を理解しよう Invited

    笹原和俊

    愛知県立旭丘高校SSH特別講座  2023.12 

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  • エコーチェンバー化する SNS の計算社会科学 Invited

    笹原 和俊

    日本グループ・ダイナミクス学会第66回大会  2019.10 

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    企画シンポジウム「“ネット民”という集団のダイナミックスを探る」の中で、「エコーチェンバー化する SNS の計算社会科学」について講演する。

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  • フェイクニュースの生成と拡散 -AI時代の変化と対策- Invited

    笹原和俊

    Trusted Media Summit Japan  2023.9  早稲田大学

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    Venue:東京都新宿区   Country:Japan  

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  • サイバー空間の脆弱性とAI:エコーチェンバー、ディープフェイク、ChatGPTの社会的影響 Invited

    笹原和俊

    一般社団法人科学技術と経済の会センサー&データフュージョン研究会  2023.6 

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  • Analysis of personal attribute relationships based on online research and social data

    B. Du, K. Sasahara

    2019.6 

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  • 日本プロ野球における熱狂現象のソーシャルメディア分析

    杉森真樹, 水野誠, 笹原和俊

    2019年度人工知能学会全国大会  2019.6 

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  • フェイクニュースと生成AI Invited

    笹原和俊

    第6回 アドバンス・シミュレーション・セミナー  2023.8  アドバンスソフト株式会社

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    Venue:オンライン  

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  • Quantifying Starbucksness From Social Media: A Case of Tabelog International conference

    B. T. Sugano, K. Sasahara

    5th International Conference on Computational Social Scienc  2019.7 

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  • A Reversible Automata Approach to Modeling Birdsongs International conference

    K. Sasahara, Y. Kakishita, T. Nishino, M. Takahasi, K. Okanoya

    15th International Conference on Computing (CIC2006)  2006.10 

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  • 二次元空間上での鳥の歌コミュニケーションの進化

    笹原和俊, 池上高志

    日本物理学会春季大会  2007.3 

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  • 分節化能力が言語進化に果たす役割

    笹原和俊, 岡ノ谷一夫

    日本進化学会第8回大会・言語進化シンポジウム  2006.8 

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  • 有限状態文法の進化

    笹原和俊, 池上高志

    日本物理学会第59回年次大会  2004.4 

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  • Evolution of Song Grammars International conference

    K. Sasahara, T. Ikegami

    The 18th Annual Conference of the Japanese Society of Artificial Intelligence (JSAI2004)  2004.5 

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  • 何がファンを熱狂させるのか?プロ野球ファンのツイート分析

    水野誠, 笹原和俊, 佐野幸恵, 杉森真樹

    第4回計算社会科学ワークショップ  2020.2 

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  • Song Grammars as Complex Sexual Displays International conference

    K. Sasahara, T. Ikegami

    9th International Conference on the Simulation and Synthesis of Living Systems (ALIFE9)  2004.9 

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  • 仮想的なタイムラインの再構築実験による エコーチェンバーの緩和についての検討

    杉森真樹, 笹原和俊

    第4回計算社会科学ワークショップ  2020.2 

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  • Evolution of Complexity and Diversity in Simulated Song Communication

    K. Sasahara, T. Ikegami

    2005.8 

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  • Analysis of Moral Divide in Online Communities

    Du Baofa, Kazutoshi Sasahara

    2020.2 

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  • 歌コミュニケーションの進化

    笹原和俊, 池上高志

    情報処理学会計算科学シンポジウム  2005.11 

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  • Birdsong as a Computational Model of Language International conference

    K. Sasahara, Y. Kakishita, T. Nishino, M. Takahasi, K. Okanoya

    International Symposium on Advanced ICT (AICT2006)  2006.2 

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  • The Roles of Segmentation Ability in Language Evolution International conference

    K. Sasahara, B. Merker, K. Okanoya

    6th International Conference on Evolution of Language (EVOLANG6)  2006.4 

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  • Birdsong as a Computational Model of Language International conference

    K. Sasahara, Y. Kakishita, T. Nishino, M. Takahasi, K. Okanoya

    International Symposium on Advanced ICT (AICT2006)  2006.8 

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  • フェイクニュース拡散の仕組み:計算社会科学の見地から Invited

    笹原和俊

    基盤SメディアクローンPJ研究会  2020.1 

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  • 有限状態文法の複雑化のモテル研究

    笹原和俊, 池上高志

    日本物理学会第58回年次大会  2003.3 

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  • フェイクニュースから考える〜ネット社会の正しい“見方”とは?〜 Invited

    笹原和俊

    名古屋市名東区公開講座  2020.1 

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  • タングステン単結晶を用いた陽電子源の開発Ⅱ

    笹原和俊, 浜津良輔, 穴見昌三, 榎本收志, 古川和朗, 柿原和久, 紙谷琢哉, 小川雄二郎, 大沢哲, 大越隆夫, 諏訪田剛, 奥野英城, 梅森健成, 藤田貴弘, 吉田勝英, V. Ababiy, A. P. Potylitsyn, I. E. Vnukov

    ビーム物理研究会  2001.12 

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  • タングステン単結晶を利用した高強度陽電子源の可能性

    笹原和俊, 浜津良輔, 穴見昌三, 榎本收志, 古川和朗, 柿原和久, 紙谷琢哉, 小川雄二郎, 大沢哲, 大越隆夫, 諏訪田剛, 奥野英城, 梅森健成, 藤田貴弘, 吉田勝英, V. Ababiy, A. P. Potylitsyn, I.E.Vnukov

    日本物理学会第57回年次大会  2002.3 

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  • ソーシャルデータを活用した社会課題の解決

    笹原和俊

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  • Social networking principles for diverse information flows and value creation

    笹原和俊

    NSF-DATAIA連携のビッグデータ合同領域会議  2019.12 

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  • タングステン単結晶を用いた陽電子源の開発

    笹原和俊, 浜津良輔, 穴見昌三, 榎本收志, 古川和朗, 柿原和久, 紙谷琢哉, 小川雄二郎, 大沢哲, 大越隆夫, 諏訪田剛, 奥野英城, 梅森健成, 藤田貴弘, 吉田勝英, V. Ababiy, A. P. Potylitsyn, I. E. Vnukov

    ビーム物理研究会  2000.12 

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  • タングステン単結晶を用いた陽電子源の開発

    笹原和俊, 浜津良輔, 穴見昌三, 榎本收志, 古川和朗, 柿原和久, 紙谷琢哉, 小川雄二郎, 大沢哲, 大越隆夫, 諏訪田剛, 奥野英城, 梅森健成, 藤田貴弘, 吉田勝英, V. Ababiy, A. P. Potylitsyn, I. E. Vnukov

    日本物理学会第56回年次大会  2001.3 

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  • タングステン単結晶を用いた陽電子生成実験のシミュレーションによる解析

    笹原和俊, 浜津良輔, 穴見昌三, 榎本收志, 古川和朗, 柿原和久, 紙谷琢哉, 小川雄二郎, 大沢哲, 大越隆夫, 諏訪田剛, 奥野英城, 梅森健成, 藤田貴弘, 吉田勝英, V. Ababiy, A. P. Potylitsyn, I. E. Vnukov

    日本物理学会秋季大会  2001.9 

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  • 辞書ベースのテキストマイニング ML-Ask, j-LIWC, j-MDFを例として

    笹原和俊, 奥田慎平

    2021日本心理学会第85回大会チュートリアル・ワークショップ  2021.9 

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  • 集合注意の創発とRTネットワークのダイナミクス

    笹原和俊, 平田祥人, 豊田正史, 喜連川優, 合原一幸

    第27回人工知能学会全国大会  2013.6 

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  • フェイクニュースを科学する

    笹原和俊

    認定心理士の会 公開シンポジウム「SNS等の功罪を心理学から考える」  2021.9 

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  • Dynamic Social Interactions on Twitter Networks Invited

    Kazutoshi Sasahara

    2013.6 

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  • Emergence of Collective Attention and Dynamics of Retweet Networks International conference

    K. Sasahara, Y. Hirata, M. Toyoda, M. Kitsuregawa, K. Aihara

    ECAL 2013 Workshop on Collective Behaviours and Social Dynamics  2013.9 

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  • 生成AIが生み出す社会問題:フェイク、ボット、LLM Invited

    笹原和俊

    日本応用数理学会 技術セミナー  2024.3 

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  • メタバース観劇の可能性と課題

    笹原 和俊

    Social Media Work Shop (SMWS2024)  2024.3 

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    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

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  • 生成AIリレートーク ~四大学連合で育む、組織・分野を超えた自由な議論の土壌~

    笹原 和俊

    四大学連合ポストコロナ社会コンソーシアム  2024.4 

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  • コグニティブセキュリティー研究動向 Invited

    笹原 和俊

    JST CRDS俯瞰ワークショップ  2024.1 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

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  • 超スマート社会とデータ流通専門委員会ヒアリング Invited

    笹原 和俊

    JEITA 情報システム・ディスラプティブ技術調査委員会  2024.2 

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    Language:Japanese  

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  • スマートニュース・メディア価値観全国調査:日本の分断はどこにあるのか? Invited

    笹原 和俊

    第3回計算社会科学会  2024.2 

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  • スマートウォッチで計測するマインドフルネス:ストレスと心拍変動の関係

    竹澤 譲, Shixian Geng, 藤野 正寛, 三宅 美佳, 笹原 和俊, 矢谷 浩司, 新井田 厚司

    第3回計算社会科学会  2024.2 

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  • The Impacts of Learning Interventions on Sharing Deepfakes

    2024.2 

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  • 生成 AI によるコンテンツの共有に関する実験研究

    市川慧, 陳佳玉, 笹原和俊

    第3回計算社会科学会  2024.2 

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  • 計算社会科学と社会イノベーション

    笹原和俊

    MOTを知る特別講座2024  2024.3 

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  • 陰謀論と分断とソーシャルメディア:SMPPの予備的分析に基づく検討

    笹原和俊, 松尾朗子

    日本社会心理学会第66回大会  2025.9 

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    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

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  • Metaverse as a Theater Platform: Its Potential and Challenges

    Yuichi Suzuki, Kazutoshi Sasahara

    2025.9 

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    Language:Japanese   Presentation type:Poster presentation  

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  • フェイクニュース拡散のメカニズムと対策:計算社会科学の観点から Invited

    笹原和俊

    WebDB夏のワークショップ2025  2025.9 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

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  • The Potential and Challenges of Metaverse Theater: A Comparative Experiment with Live Theater

    Yuichi Suzuki, Kazutoshi Sasahara

    2025.8 

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  • 生成AIを含むデジタルデータの活用の現状と問題点 Invited

    笹原和俊

    日本学術会議の公開シンポジウム「デジタルデータ及び社会調査・統計調査の活用:方法と課題」  2025.7 

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Awards

  • 第23回ドコモ・モバイル・サイエンス賞 社会科学部門 優秀賞

    2024.10   NPO法人モバイル・コミュニケーション・ファンド   フェイクニュース現象に関する計算社会科学の研究

    笹原 和俊

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  • ベストアーティクル賞

    2023.5   映像情報メディア学会  

    越前功, 馬場口登, 笹原和俊

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  • 第38回電気通信普及財団賞(テレコム学際研究賞)

    2023.3   公益財団法人電気通信普及財団  

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  • 第1回大会優秀賞

    2022.3   第1回計算社会科学会大会   代替肉ツイートの変遷にみる「食」の道徳化

    橋本萌那, 高澤陽太朗, 笹原和俊

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  • First Prize and Hitachi Prize

    2019.12   The 2nd NTT Data Twitter Innovation Contest  

    Kazutoshi Sasahara

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  • Huford賞

    2008.3   The 7th International Conference (EVOLANG7)  

    O. Feher, P. P. Mitra, K. Sasahara, O. Tchernichovski

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Research Projects

  • Trust-Oriented Social AI Design for Overcoming an Uncertain Society

    Grant number:JPMJCR2562  2025.10 - 2031.3

    Japan Science and Technology Agency  CREST 

    Kazutoshi Sasahara

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    Authorship:Principal investigator 

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    2023.4 - 2027.3

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    Authorship:Principal investigator 

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  • Psychological processes underlying ideological moral values and social divisions

    Grant number:23K22344  2022.4 - 2026.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Grant amount:\17030000 ( Direct Cost: \13100000 、 Indirect Cost:\3930000 )

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  • MFD/LIWC 2015/フェイクニュースに関する研究

    2022.1 - 2022.3

    株式会社日立製作所 

    笹原和俊, 五十嵐祐, 西脇康人

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    Authorship:Principal investigator 

    Grant amount:\2000000 ( Direct Cost: \1540000 、 Indirect Cost:\460000 )

    MFD・インフォデミック・LIWCを感性分析サービスに取り込むとともに、上記を利用したソフトウェアを開発し、また当該ソフトウェアのビジネスユースケースを検討する。

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  • インフォデミックを克服するソーシャル情報基盤技術

    2020.12 - 2026.3

    科学技術振興機構  戦略的創造研究推進事業 

    笹原 和俊

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  • エコーチェンバーを緩和するソーシャル・ネットワーキング原理の創出と実証

    2019.4 - 2023.3

    文部科学省  科学研究費補助金基盤研究(B) 

    笹原 和俊

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\15990000 ( Direct Cost: \12300000 、 Indirect Cost:\3690000 )

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  • ポストトゥルースの時代における新しい情報リテラシーの学際的探求

    2019.4 - 2023.3

    文部科学省  科学研究費補助金基盤研究(A) 

    笹原 和俊

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    Authorship:Coinvestigator(s)  Grant type:Competitive

    Grant amount:\1400000 ( Direct Cost: \1400000 )

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  • 社会の分断をあおるコミュニケーションの発生・伝搬・共有過程

    2018.4 - 2022.3

    文部科学省  科学研究費補助金基盤研究(B) 

    笹原和俊

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    Authorship:Coinvestigator(s)  Grant type:Competitive

    Grant amount:\1300000 ( Direct Cost: \1200000 )

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  • 人間と情報環境の共生インタラクション基盤技術の創出と展開:脳領域/個体/集団間のインタラクション創発原理の解明と適用

    2017.10 - 2023.3

    科学技術振興機構  CREST 

    笹原和俊

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    Grant amount:\3000000 ( Direct Cost: \3000000 )

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  • Constructive Understanding of the Origin and Evolution of Language

    Grant number:17H06383  2017.6 - 2022.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

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    Grant amount:\244140000 ( Direct Cost: \187800000 、 Indirect Cost:\56340000 )

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  • エコーチェンバーの生成と情報流のダイナミクス:数理モデルとビッグデータ分析

    2017.4 - 2018.3

    大川情報通信基金  大川情報通信基金研究助成 

    笹原 和俊

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\1000000 ( Direct Cost: \1000000 )

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  • Development and validation of social networking priciples for supporting diverge information folows and value creation

    Grant number:16817354  2016.12 - 2019.2

    JST  JST PRESTO 

    Kazutoshi Sasahara

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  • 道徳意識の生成・共有・創発過程:個人と文化の動態的関係の解明

    2015.4 - 2019.3

    文部科学省  科学研究費補助金基盤研究(B) 

    笹原 和俊

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    Authorship:Coinvestigator(s)  Grant type:Competitive

    Grant amount:\1500000 ( Direct Cost: \1500000 )

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  • 生物の行動系列データのモデリング手法の研究

    2015.4 - 2017.3

    稲盛財団  稲盛財団研究助成 

    笹原 和俊

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\1000000 ( Direct Cost: \1000000 )

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  • ソーシャルメディアにおける集団気分の定量化

    2013.4 - 2014.3

    堀科学芸術振興財団  堀科学芸術振興財団研究助成 

    笹原 和俊

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\990000 ( Direct Cost: \990000 )

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  • 動物の行動文法の定量化とその構造特性の解明

    2012 - 2014

    文部科学省  科学研究費補助金若手研究(B) 

    笹原 和俊

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\4550000 ( Direct Cost: \3500000 、 Indirect Cost:\1050000 )

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  • 言語的相互作用の複雑化と多様化機構の理解:構成論的モデルによるアプローチ

    2009.12 - 2010.3

    日本学術振興会  優秀若手海外派遣事業助成 

    笹原 和俊

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\729747 ( Direct Cost: \729747 )

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  • 言語的相互作用の複雑化と多様化機構の理解:構成論的モデルによるアプローチ

    2008.4 - 2011.3

    日本学術振興会  特別研究員奨励費 

    笹原 和俊

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\2400000 ( Direct Cost: \2400000 )

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  • A Computational Learning Theoretic Approach to Birdsong Syntax Analysis

    Grant number:18500109  2006 - 2007

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    NISHINO Tetsuro, SASAHARA Kazutoshi, TAKAHASHI Miki

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    Grant amount:\4010000 ( Direct Cost: \3500000 、 Indirect Cost:\510000 )

    We propose an efficient automata-based approach to extract behavioral units and rules from continuous sequential data of animal behavior. Introducing original extensions, we integrate two elemental methods-the Ngram model and the Angluin's machine learning algorithm into an ethological data mining framework. It allows us to obtain the simplest finite automaton representation of behavioral rule that accepts (or generates) the smallest set of possible behavioral patterns from sequential data of animal behavior. With this method, we demonstrate how the ethological data mining works using real birdsong data and performs experimental evaluations of this method using artificial birdsong data generated by a computer program. These results suggest that our ethological data mining effectively works even for noisy ethological data by appropriately setting the parameters. In addition, we demonstrate a case study using the Bengalese finch song, showing that our method successfully grasps the core structure of the singing behavior such as loops and branchings.

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  • 構成論的モデルによる相互分節化仮説の理解と検証

    2006 - 2007

    文部科学省  科学研究費補助金若手研究スタートアップ 

    笹原 和俊

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\2400000 ( Direct Cost: \2400000 )

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Other

  • NHK 8Kがいざなう実世界展「コロナ禍のツイート 感情はどう広がるのか?」

    2022.1 - 2022.2

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Teaching Experience

  • 専門演習1基礎ゼミ

    2023.5 Institution:立教大学社会学部

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  • Theory and Application of Social Dynamics by Computational Social Science

    2021.1 Institution:Tottori University

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  • Computational Informatics 12

    2020.4 Institution:Nagoya University

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  • Computational Social Science for Marketing

    2020.1 Institution:Meiji University

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  • 創発システム論セミナー

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  • 画像情報処理論及び演習

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  • 情報処理実習

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  • 情報リテラシー

    Institution:名古屋商科大学

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  • 情報倫理・モラル

    Institution:名古屋商科大学

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  • コミュニケーションの科学的基礎

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  • 情報科学概論

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  • 複雑系科学特論

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Social Activities

  • 大学における多様な学び

    Role(s): Lecturer, Organizing member

    愛知県立旭丘高校  東京研修  2023.12

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    Type:Lecture

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Media Coverage

  • 東京の韓国大使館近くで「ディープフェイクポルノ反対デモ」 参加者に理由を聞くと…世界で何が起きている? Newspaper, magazine

    東京新聞  電子版  2024.9

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  • テレ朝報道を「意図的編集か」 クルド人関連 Xで動画拡散 Newspaper, magazine

    朝日新聞  朝刊31面(追加記事 9月3日朝刊25面)  2024.8

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  • 進化するAIと日本 開発競争の舞台は日本へ

    TBSテレビ  サンデーモーニング  2024.4

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  • 「日本の空母をドローン撮影した」護衛艦「いずも」の"ドローン映像"が中国SNSに TV or radio program

    フジテレビ  LiveMEWSイット!  2024.4

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  • AIによるディープフェイクが新たな脅威に、人間による見分けは困難 Internet

    日経クロステック  2024.3

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  • 偽情報で得する「うそつきの配当」、選挙脅かす 代償払わせられるか Newspaper, magazine

    朝日新聞  電子版及び朝刊  2024.3

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  • 生成AIとみられる女性の「扇情動画」乱立 再生回数稼ぎ、収益目的も背景か Newspaper, magazine

    産経新聞  電子版  2024.3

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  • 計算社会科学が守る“未来のソーシャルメディア” Internet

    So-gúd(ソウグウ)  2024.3

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  • 日本人の道徳的価値観と分断の萌芽 Newspaper, magazine

    CEメディアハウス  Newsweek 日本版  2024.2

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  • 災害時のデマ どう見極め? 有識者に聞く 自治体にできる対策は Newspaper, magazine

    都政新報  4面  2024.1

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  • 【善意を利用した悪質投稿】"偽投稿"で収益化 救助呼びかけも架空の住所か TV or radio program

    中京テレビ  キャッチ!  2024.1

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  • 迫る「地震発生72時間」、SNSで「救助」求める偽投稿 「善意の第三者」が拡散 Newspaper, magazine

    読売新聞  電子版  2024.1

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  • 目にする全てがAI由来かも…「ディープフェイク」にどう備えれば? Newspaper, magazine

    東京新聞  電子版  2024.1

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  • どうする? ネットの言説にハマった親 TV or radio program

    NHK  あさイチ  2023.12

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  • 生成AIの偽動画、偏った考え増幅の「エコーチェンバー」引き起こす Newspaper, magazine

    読売新聞  電子版  2023.12

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  • スマートニュース・メディア価値観全国調査第1回調査結果報告

    スマートニュース株式会社プレスリリース  「スマートニュース・メディア価値観全国調査」メディア向けシンポジウム  2023.11

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  • ディープフェイク 日本の”未来予想図” 真実と嘘をどう見抜く? TV or radio program

    フジテレビ  Mr.サンデー  2023.11

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  • 岸田総理のフェイク動画がSNSで拡散 波紋広がる TV or radio program

    TBSテレビ  THE TIME,  2023.11

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  • 「悪質な印象操作」 生成AIで首相偽動画 Newspaper, magazine

    読売新聞  朝刊27面  2023.11

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  • 目からウロコ、疑問も氷解 科学担当記者おすすめの4冊 Newspaper, magazine

    毎日新聞  デジタル版  2023.8

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  • 【AIとWeb3】SNSの未来とは? Internet

    ReHacQ  2023.7

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  • 【Twitterの罠】承認欲求という快楽地獄【なぜSNSで攻撃?】 Internet

    ReHacQ  2023.7

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  • 「真実に気づいて」に多くの反応。高齢者の偏向を加速させるネットのふたつのメカニズム Internet

    リディラバジャーナル  2023.7

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  • AI偽画像「一般人でも数十秒で作れる」米爆発情報の拡散で警鐘 Newspaper, magazine

    毎日新聞  デジタル版  2023.5

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  • 世論調査「デジタルと社会」 デジタル化は享受 Newspaper, magazine

    読売新聞  朝刊14面  2023.5

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  • 衝撃 生成AI 偽情報 社会に脅威 Newspaper, magazine

    読売新聞  朝刊1,2面  2023.4

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  • 競い合うAI、分断生む 世界の虚構も生成 Newspaper, magazine

    日本経済新聞  電子版  2023.4

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  • ブラジル議会襲撃、SNS過激投稿で先鋭化 Newspaper, magazine

    読売新聞朝刊  3面「スキャナー」  2023.1

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  • 闘争 フェイクニュースvs科学(前編・後編) Internet

    日経テレ東大学  2022.12

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  • ウクライナ侵攻 SNS フェイク氾濫ご注意 Newspaper, magazine

    東京新聞  朝刊  2022.3

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  • 医療デマ、SNS攻防(その2止) 24歳、接種ためらい後悔 デマにほんろうされ Newspaper, magazine

    毎日新聞  朝刊  2022.1

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  • 「うその方が伝わりやすい」コロナ下で氾濫した不確かな情報 Newspaper, magazine

    西日本新聞 他  2022.1

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  • 【経済教室】課題解決の精度高まる データから社会を読む TV or radio program

    日本経済新聞  デジタル版  2021.12

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  • 打ち寄せる同じ主張、妄信生んだ情報の「偏食」…[虚実のはざま]第5部「解」を探る<3> Newspaper, magazine

    読売新聞  朝刊及び電子版  2021.12

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  • 【要約版】SNSと分断を知る、世界の「研究4選」 Internet

    NewsPicks web版  2021.11

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  • スポンサー「開催批判」に苦慮…資金拠出 宣伝効果は乏しく[Tokyo2020+] Newspaper, magazine

    読売新聞  朝刊9面  2021.9

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  • 「もてあそばれている」 反コロナワクチン “陰謀論”信じる理由 Newspaper, magazine

    毎日新聞  電子版  2021.9

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  • フェイクの姿が見えた SNS蝕む誤情報のすみか Newspaper, magazine

    日本経済新聞  朝刊サイエンス面  2021.7

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    Author:Other 

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  • フェイクニュースに迫る経済学 被害抑制策も追求 Newspaper, magazine

    日本経済新聞  電子版  2021.7

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  • 奔流デジタル:ワクチンで不妊 誤信した看護師 Newspaper, magazine

    読売新聞  朝刊1面  2021.5

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  • 民主主義脅かすフェイク情報 「心の癖」にワナ/扇動で独裁者生む Newspaper, magazine

    日本経済新聞  日本経済新聞  朝刊17面  2021.2

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  • 怪情報 即座に「輸入」 Newspaper, magazine

    読売新聞  読売新聞  朝刊27面  2021.1

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  • Model captures how polarization emerges on social media during political campaigns Internet

    Proceedings of the National Academy of Sciences of the United States of America  2020.12

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Academic Activities

  • 「次世代SNS×AIチャットボットの活用」に関するアイデアソン

    Role(s): Planning, management, etc.

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