activity
20212024
most citedDo you trust experts on Twitter?: Successful correction of COVID-19-related misinformation

5 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond

Tomoki Fukuma, Koki Noda, Toshihide Ubukata Kousuke Hoso +4

The proliferation of social media has led to information overload and increased interest in opinion mining. We propose "Question-Answering Network Analysis" (QANA), a novel opinion…

cs.SI20231 cited

HyperS2V: A Framework for Structural Representation of Nodes in Hyper Networks

Shu Liu, Cameron Lai, Fujio Toriumi

In contrast to regular (simple) networks, hyper networks possess the ability to depict more complex relationships among nodes and store extensive information. Such networks are com…

cs.SI2023

User's Position-Dependent Strategies in Consumer-Generated Media with Monetary Rewards

Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara

Numerous forms of consumer-generated media (CGM), such as social networking services (SNS), are widely used. Their success relies on users' voluntary participation, often driven by…

cs.SI2023

Investigating Quantitative-Qualitative Topical Preference: A Comparative Study of Early and Late Engagers in Japanese ChatGPT Conversations

Tomoki Fukuma, Koki Noda, Yuta Yamamoto +5

This study investigates engagement patterns related to OpenAI's ChatGPT on Japanese Twitter, focusing on two distinct user groups - early and late engagers, inspired by the Innovat…

cs.SI2023

Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learning

Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara

Consumer generated media (CGM), such as social networking services rely on the voluntary activity of users to prosper, garnering the psychological rewards of feeling connected with…

cs.SI20215 cited

Do you trust experts on Twitter?: Successful correction of COVID-19-related misinformation

Dongwoo Lim, Fujio Toriumi, Mitsuo Yoshida

This study focuses on how scientifically-correct information is disseminated through social media, and how misinformation can be corrected. We have identified examples on Twitter w…