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20142026
most citedSocial Influence and Unfollowing Accelerate the Emergence of Echo Chambers

179 citations · 336 across the 17 of their papers we have counts for

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10 papers · 1 filter

cs.CY2026

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…

cs.CY2023

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…

cs.CY2023

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…

cs.CY2021

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…

cs.CY2021

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…

cs.CY2020

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…

cs.CY2019★ 179 cited

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…

cs.CY2018★ 16 cited

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…

cs.CY2018★ 47 cited

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…

cs.CY2017★ 2 cited

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…