News to Fake News with LLM Agents, (EMNLP, 2025) Yuhan Liu, Zirui Song, Juntian Zhang, Xiaoqing Zhang, Xiuying Chen, Rui Yan l Empirical Methods in Natural Language Processing (EMNLP 2025) l ⾃然⾔語処理分野のトップ会議の1つ l ݴޠཧղɾੜ͔ΒࣾձݴޠֶతԠ༻ͳͲͷɺ/-1ͷτϐοΫ͕த৺ l ஶऀYuhan Liu l .#;6"* 1PTUEPD3FONJO6OJWFSTJUZPG$IJOB 1I% l ޡใʴLLMγϛϡϨʔγϣϯͷݚڀΛத৺ l From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News, IJCAI, 2024. l The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News, SIGIR, 2025. l ͲΜͳจʁ ਅ࣮ͷχϡʔε͕ͲͷΑ͏ʹِใͱม࣭͍͔ͯ͘͠Λ࠶ݱ͢ΔͨΊͷγϛϡϨʔγϣϯϑϨʔϜϫʔΫz'64&z ΛఏҊɻใͷมԽΛɾ࠶ݱ͢Δ͚ͩͰͳ͘ɺِใରࡦʹؔ͢ΔհೖޮՌݕূՄೳͳڥΛߏஙɻ χϡʔ ε༰ͷײɾ֬৴ɾ৽نใɾελΠϧͳͲ࣍ݩͷมԽΛఆྔతʹޮՌΛଌఆ͢Δํ๏ΛఏҊɻ
Empirical Study of Fake News Evolution (WebConf, 2021) Mingfei Guo, Xiuying Chen, Juntao Li, Dongyan Zhao, Rui Yan l χϡʔε֦ࢄͷաఔͰվม͞ΕͨΓɺΊΒΕͨΓ͠ɺʮਅ࣮ˠޡใ ˠ͞Βʹվม͞Εͨޡใʯͱ͍ͬͨมԽ͢Δɻͦͷաఔͷ݅ͷ'BLF /FXT&WPMVUJPO '/& EBUBTFUΛެ։ l จ๏తʹେ͖ͳมԽଘࡏ͠ͳ͍ l վม͞Εͨޡใɺ1PTJUJWF͔ͭ٬؍ తʹهड़͞ΕΔ
multilingual misinformation prevalence, spread, and evolution (EPJ DataScience, 2025) Dorian Quelle, Calvin Yixiang Cheng, Alexandre Bovet & Scott A. Hale l ݴޠɺ ݅ͷGBDUDIFDLهࣄΛ ༻͍ͯɺݴޠΛ͑ͨޡใͷ֦ࢄɾ༁ ͷύλʔϯൃݟ l શମͷʢ ݅ʣͷओு ෳճϑΝΫτνΣοΫ l ࣌ؒܦաͱͱʹओுͷมԽ͕ൃੜ
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heard in a few sentences, including their own perspective on the news.” l χϡʔεൃ৴ “As a [role], you combine your [previous personal opinion] with the new information stored in your [long memory]. You process this information in the following manner: [role behavior], and then reintroduce the [news].”
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