179 citations · 336 across the 17 of their papers we have counts for
21 papers
Crude, Commercial, and Self-Referential: Chinese-Language Coordinated Activity in Japanese-Language X
Kei Ichikawa, Bruno T. Sugano, Genta Toya +5
Malicious coordination has long been regarded as a principal source of information ecosystem pollution. Here, we focus on crude, text-repetition-based coordination. As the demand f…
Attentional DoS: Repeat Reposting, Collective Attention, and Information Diffusion on X
Genta Toya, Bruno T. Sugano, Kei Ichikawa +6
Collective attention is a finite shared resource, and social media posts compete for limited opportunities to be seen. On X, users can undo a repost and repost it again. By repeati…
Uncovering Non-Normality in Information Flow: Network Structure and Dynamics of Social Media Cascades
Qianyun Wu, Bruno T. Sugano, Genta Toya +5
Information cascades on social media are conventionally conceptualized as directed, feedforward branching processes. However, real-world diffusion pathways frequently deviate from…
A latent dimension of Condorcet's jury theorem for multiple AI advisers
Kazutoshi Sasahara, Aoi Naito, Ryo Fujie
When the same question is asked of multiple AI advisers, as in self-consistency and LLM-as-a-judge panels, Condorcet's jury theorem predicts that adding independent, competent advi…
Segregation Before Polarization: How Recommendation Strategies Shape Echo Chamber Pathways
Junning Zhao, Kazutoshi Sasahara, Yu Chen
Social media platforms facilitate echo chambers through feedback loops between user preferences and recommendation algorithms. While algorithmic homogeneity is well-documented, the…
Domain-based user embedding for competing events on social media
Wentao Xu, Kazutoshi Sasahara
Social divide and polarization have become significant societal issues. To understand the mechanisms behind these phenomena, social media analysis offers research opportunities in…
Applicability of Trust Management Algorithm in C2C services
Ryohei Suzuki, Iifan Tyou, Shigenori Ohashi +1
The emergence of Consumer-to-Consumer (C2C) platforms has allowed consumers to buy and sell goods directly, but it has also created problems, such as commodity fraud and fake revie…
Moral intuitions behind deepfake-related discussions in Reddit communities
Dilrukshi Gamage, Hariharan Ravinthran, Kazutoshi Sasahara
Deepfakes are AI-synthesized content that are becoming popular on many social media platforms, meaning the use of deepfakes is increasing in society, regardless of its societal imp…
Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications
Dilrukshi Gamage, Piyush Ghasiya, Vamshi Krishna Bonagiri +2
Deepfakes are synthetic content generated using advanced deep learning and AI technologies. The advancement of technology has created opportunities for anyone to create and share d…
"This is Fake News": Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False Information
Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka +3
False information spreads on social media, and fact-checking is a potential countermeasure. However, there is a severe shortage of fact-checkers; an efficient way to scale fact-che…
Psycho-linguistic differences among competing vaccination communities on social media
Jialiang Shi, Piyush Ghasiya, Kazutoshi Sasahara
Currently, the significance of social media in disseminating noteworthy information on topics such as health, politics, and the economy is indisputable. During the COVID-19 pandemi…
A network-based approach to QAnon user dynamics and topic diversity during the COVID-19 infodemic
Wentao Xu, Kazutoshi Sasahara
QAnon is an umbrella conspiracy theory that encompasses a wide spectrum of people. The COVID-19 pandemic has helped raise the QAnon conspiracy theory to a wide-spreading movement,…
Detecting directional forces in the evolution of grammar: A case study of the English perfect with intransitives across EEBO, COHA, and Google Books
Shimpei Okuda, Michio Hosaka, Kazutoshi Sasahara
Languages have diverse characteristics that have emerged through evolution. In modern English grammar, the perfect is formed with \textit{have}+PP (past participle), but in earlier…
Morality-based Assertion and Homophily on Social Media: A Cultural Comparison between English and Japanese Languages
Maneet Singh, Rishemjit Kaur, Akiko Matsuo +2
Moral psychology is a domain that deals with moral identity, appraisals and emotions. Previous work has primarily focused on moral development and the associated role of culture. K…
Characterizing the Anti-Vaxxers' Reply Behavior on Social Media
Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka +1
Although the online campaigns of anti-vaccine advocates, or anti-vaxxers, severely threaten efforts for herd immunity, their reply behavior--the form of directed messaging that can…
Characterizing the roles of bots during the COVID-19 infodemic on Twitter
Wentao Xu, Kazutoshi Sasahara
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 trustwor…
Social Influence and Unfollowing Accelerate the Emergence of Echo Chambers
Kazutoshi Sasahara, Wen Chen, Hao Peng +3
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…
You are what you eat: A social media study of food identity
Kazutoshi Sasahara
Food preferences not only originate from a person's dietary habits, but also reflect personal values and consumer awareness. This study addresses `food identity' or the relationshi…
Development and Validation of the Japanese Moral Foundations Dictionary
Akiko Matsuo, Kazutoshi Sasahara, Yasuhiro Taguchi +1
The Moral Foundations Dictionary (MFD) is a useful tool for applying the conceptual framework developed in Moral Foundations Theory and quantifying the moral meanings implicated in…
Inference of Personal Attributes from Tweets Using Machine Learning
Take Yo, Kazutoshi Sasahara
Using machine learning algorithms, including deep learning, we studied the prediction of personal attributes from the text of tweets, such as gender, occupation, and age groups. We…
Concurrent Bursty Behavior of Social Sensors in Sporting Events
Yuki Takeichi, Kazutoshi Sasahara, Reji Suzuki +1
The advent of social media expands our ability to transmit information and connect with others instantly, which enables us to behave as "social sensors." Here, we studied concurren…