The 40th Annual Conference of the Japanese Society for Artificial Intelligence, 2026
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Session Details

General SessionGeneral session : GS-4 Web intelligence

[1I4-GS-4a]Web intelligence

Mon. Jun 8, 2026 3:40 PM - 5:10 PM JST
Mon. Jun 8, 2026 6:40 AM - 8:10 AM UTC
Room I(Middle room 202A)
3:40 PM - 3:55 PM JST(6:40 AM - 6:55 AM UTC)

[1I4-GS-4a-01]How Did Fandoms Disseminate Information?— A Twitter Analysis During the Johnny’s Scandal —

〇Erina Murata1,2, Masaki Chujyo2, Fujio Toriumi2 (1. Waseda University, 2. The University of Tokyo)
3:55 PM - 4:10 PM JST(6:55 AM - 7:10 AM UTC)

[1I4-GS-4a-02]LLM-based Detection of Misinformative Videos Using Comment Summarization

〇Ryotaro Hirohata1, Ryohei Orihara1, Yasuyuki Tahara1, Yuichi Sei1 (1. The University of Electro-Communications)
4:10 PM - 4:25 PM JST(7:10 AM - 7:25 AM UTC)

[1I4-GS-4a-03]Analyzing the Impact of Users’ Filter Bubble Sensitivity on Recommendations

〇Ryoma Matsumoto1, Masahiro Hamasaki2, Ryohei Orihara1, Yasuyuki Tahara1, Yuichi Sei1 (1. The University of Electro-Communications, 2. National Institute of Advanced Industrial Sciense and Technology (AIST))
4:25 PM - 4:40 PM JST(7:25 AM - 7:40 AM UTC)

[1I4-GS-4a-04]Counterfactual Explanations for Black-box Reciprocal Recommendation Systems for HR

〇Shuya Nagayasu1, Haoyi Xiu1, Norihiro Hizawa1 (1. Leverages)
4:40 PM - 4:55 PM JST(7:40 AM - 7:55 AM UTC)

[1I4-GS-4a-05]Maximizing Fan Engagement Inferred from Social Media Data through Post-Timing Optimization

〇Rena Enomoto1, Taiga Nishimura2, Takahiro Hoshino1,3 (1. Keio University, 2. Keio Graduate School, 3. RIKEN Center for Advanced Intelligence Project)
4:55 PM - 5:10 PM JST(7:55 AM - 8:10 AM UTC)

[1I4-GS-4a-06]LLM-based Simulation of News Reading Behavior and Analysis of the Impact of Recommendation Algorithms on Reading Diversity

〇Ren Fujiki1, Yugo Nakamura1, Tsunenori Mine1, Yutaka Arakawa1 (1. Kyushu University)
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