{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T17:56:31Z","timestamp":1776275791936,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":67,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100006374","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2024M763336"],"award-info":[{"award-number":["2024M763336"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62406310"],"award-info":[{"award-number":["62406310"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postdoctoral Fellowship Program of CPSF","award":["GZC20232738"],"award-info":[{"award-number":["GZC20232738"]}]},{"name":"Strategic Priority Research Program of Chinese Academy of Sciences","award":["XDB0680202"],"award-info":[{"award-number":["XDB0680202"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,13]]},"DOI":"10.1145\/3726302.3730027","type":"proceedings-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T01:25:28Z","timestamp":1752456328000},"page":"435-445","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1678-5772","authenticated-orcid":false,"given":"Beizhe","family":"Hu","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2481-5023","authenticated-orcid":false,"given":"Qiang","family":"Sheng","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7857-1546","authenticated-orcid":false,"given":"Juan","family":"Cao","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1808-8042","authenticated-orcid":false,"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3603-9743","authenticated-orcid":false,"given":"Danding","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,7,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1033"},{"key":"e_1_3_2_2_2_1","unstructured":"Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen Nova DasSarma Dawn Drain Stanislav Fort Deep Ganguli Tom Henighan Nicholas Joseph Saurav Kadavath Jackson Kernion Tom Conerly Sheer El-Showk Nelson Elhage Zac Hatfield-Dodds Danny Hernandez Tristan Hume Scott Johnston Shauna Kravec Liane Lovitt Neel Nanda Catherine Olsson Dario Amodei Tom Brown Jack Clark Sam McCandlish Chris Olah Ben Mann and Jared Kaplan. 2022. Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback. arxiv:2204.05862 [cs.CL]"},{"key":"e_1_3_2_2_3_1","unstructured":"BBC News. 2016. Google News launches fact check label. https:\/\/www.bbc.com\/news\/technology-37657524. Accessed: 2025-04-12."},{"key":"e_1_3_2_2_4_1","volume-title":"Regulating the spread of online misinformation","author":"Brown \u00c9tienne","unstructured":"\u00c9tienne Brown. 2021. Regulating the spread of online misinformation. In The Routledge handbook of political epistemology. Routledge, 214-225."},{"key":"e_1_3_2_2_5_1","unstructured":"Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell Sandhini Agarwal Ariel Herbert-Voss Gretchen Krueger Tom Henighan Rewon Child Aditya Ramesh Daniel M. Ziegler Jeffrey Wu Clemens Winter Christopher Hesse Mark Chen Eric Sigler Mateusz Litwin Scott Gray Benjamin Chess Jack Clark Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever and Dario Amodei. 2020. Language Models are Few-Shot Learners. arxiv:2005.14165 [cs.CL]"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612426"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.3934\/publichealth.2022018"},{"key":"e_1_3_2_2_8_1","volume-title":"The Twelfth International Conference on Learning Representations. 40 pages.","author":"Chen Canyu","year":"2024","unstructured":"Canyu Chen and Kai Shu. 2024a. Can LLM-Generated Misinformation Be Detected?. In The Twelfth International Conference on Learning Representations. 40 pages."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/aaai.12188"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.798"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v14i1.7350"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.421"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671882"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1423"},{"key":"e_1_3_2_2_15_1","volume-title":"Workshop on Online Misinformation- and Harm-Aware Recommender Systems. 11 pages. https:\/\/ceur-ws.org\/Vol-2758\/OHARS-paper3.pdf","author":"Fernandez Miriam","year":"2020","unstructured":"Miriam Fernandez and Alejandro Bellog\u00edn. 2020. Recommender systems and misinformation: the problem or the solution?. In Workshop on Online Misinformation- and Harm-Aware Recommender Systems. 11 pages. https:\/\/ceur-ws.org\/Vol-2758\/OHARS-paper3.pdf"},{"key":"e_1_3_2_2_16_1","unstructured":"Miriam Fern\u00e1ndez Alejandro Bellog\u00edn and Iv\u00e1n Cantador. 2021. Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation. arxiv:2103.14748 [cs.SI] https:\/\/arxiv.org\/abs\/2103.14748"},{"key":"e_1_3_2_2_17_1","unstructured":"Deep Ganguli Liane Lovitt Jackson Kernion Amanda Askell Yuntao Bai Saurav Kadavath Ben Mann Ethan Perez Nicholas Schiefer Kamal Ndousse Andy Jones Sam Bowman Anna Chen Tom Conerly Nova DasSarma Dawn Drain Nelson Elhage Sheer El-Showk Stanislav Fort Zac Hatfield-Dodds Tom Henighan Danny Hernandez Tristan Hume Josh Jacobson Scott Johnston Shauna Kravec Catherine Olsson Sam Ringer Eli Tran-Johnson Dario Amodei Tom Brown Nicholas Joseph Sam McCandlish Chris Olah Jared Kaplan and Jack Clark. 2022. Red Teaming Language Models to Reduce Harms: Methods Scaling Behaviors and Lessons Learned. arxiv:2209.07858 [cs.CL]"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645448"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-7155-1_8"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1093\/pnasnexus\/pgae034"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aau2706"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3106426.3109436"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i20.30214"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2022.09.001"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.815"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611978032.50"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.1047"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/245108.245126"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.29"},{"key":"e_1_3_2_2_30_1","unstructured":"Xinyi Li Yongfeng Zhang and Edward C Malthouse. 2023. Exploring Fine-Tuning ChatGPT for News Recommendation. arxiv:2311.05850 [cs.IR]"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102420"},{"key":"e_1_3_2_2_32_1","first-page":"29575","volume-title":"Proceedings of the 41st International Conference on Machine Learning, Ruslan Salakhutdinov, Zico Kolter, Katherine Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, and Felix Berkenkamp (Eds.)","volume":"235","author":"Liang Weixin","unstructured":"Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel Mcfarland, and James Y. Zou. 2024. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. In Proceedings of the 41st International Conference on Machine Learning, Ruslan Salakhutdinov, Zico Kolter, Katherine Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, and Felix Berkenkamp (Eds.), Vol. 235. PMLR, 29575-29620. https:\/\/raw.githubusercontent.com\/mlresearch\/v235\/main\/assets\/liang24b\/liang24b.pdf"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3661377"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679987"},{"key":"e_1_3_2_2_35_1","unstructured":"Xiawei Liu Shiyue Yang Xinnong Zhang Haoyu Kuang Libo Sun Yihang Yang Siming Chen Xuanjing Huang and Zhongyu Wei. 2024c. AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models. arxiv:2410.07561 [cs.CL]"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512246"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.559"},{"key":"e_1_3_2_2_38_1","volume-title":"Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations. http:\/\/arxiv.org\/abs\/1412","author":"Diederik","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations. http:\/\/arxiv.org\/abs\/1412.6980"},{"key":"e_1_3_2_2_39_1","unstructured":"Sungwon Park Sungwon Han and Meeyoung Cha. 2024. Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. arxiv:2406.11260 [cs.CL]"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616088"},{"key":"e_1_3_2_2_41_1","unstructured":"McKenzie Sadeghi Lorenzo Arvanitis Virginia Padovese Giulia Pozzi Sara Badilini Chiara Vercellone Macrina Wang Natalie Huet Zack Fishman Leonie Pfaller Natalie Adams and Miranda Wollen. 2024. Tracking AI-enabled Misinformation. https:\/\/www.newsguardtech.com\/special-reports\/ai-tracking-center\/. Accessed: 2024-12-06."},{"key":"e_1_3_2_2_42_1","unstructured":"SAE. 2021. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. https:\/\/www.sae.org\/standards\/content\/j3016_202104\/. Accessed: 2024-12-03."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-3398-0_16"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3305260"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.311"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2024\/55"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1089\/big.2020.0062"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.adh1850"},{"key":"e_1_3_2_2_49_1","volume-title":"Jonibek Mansurov, Di Wang, and Preslav Nakov.","author":"Su Jinyan","year":"2023","unstructured":"Jinyan Su, Terry Yue Zhuo, Jonibek Mansurov, Di Wang, and Preslav Nakov. 2023. Fake News Detectors are Biased against Texts Generated by Large Language Models. arxiv:2309.08674 [cs.CL]"},{"key":"e_1_3_2_2_50_1","unstructured":"Yanshen Sun Jianfeng He Limeng Cui Shuo Lei and Chang-Tien Lu. 2024. Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges. arxiv:2403.18249 [cs.CL]"},{"key":"e_1_3_2_2_51_1","volume-title":"Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, and Amitava Das.","author":"Towhidul Islam Tonmoy S M","year":"2024","unstructured":"S M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, and Amitava Das. 2024. A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models. arxiv:2401.01313 [cs.CL]"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020480"},{"key":"e_1_3_2_2_53_1","volume-title":"Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. In The Thirteenth International Conference on Learning Representations.","author":"Wang Haoyu","year":"2025","unstructured":"Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, and Ji-Rong Wen. 2025. Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. In The Thirteenth International Conference on Learning Representations."},{"key":"e_1_3_2_2_54_1","unstructured":"Lionel Z. Wang Yiming Ma Renfei Gao Beichen Guo Han Zhu Wenqi Fan Zexin Lu and Ka Chung Ng. 2024a. MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models. arxiv:2408.11871 [cs.CL]"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671944"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512263"},{"key":"e_1_3_2_2_57_1","unstructured":"Xinyu Wang Wenbo Zhang Sai Koneru Hangzhi Guo Bonam Mingole S Shyam Sundar Sarah Rajtmajer and Amulya Yadav. 2024c. The Reopening of Pandora's Box: Analyzing the Role of LLMs in the Evolving Battle Against AI-Generated Fake News. arxiv:2410.19250 [cs.CL]"},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1671"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463069"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.331"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671977"},{"key":"e_1_3_2_2_62_1","first-page":"9054","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Zellers Rowan","year":"2019","unstructured":"Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019. Defending Against Neural Fake News. In Advances in Neural Information Processing Systems, Vol. 32. Curran Associates Inc., 9054-9065. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2019\/file\/3e9f0fc9b2f89e043bc6233994dfcf76-Paper.pdf"},{"key":"e_1_3_2_2_63_1","unstructured":"Gang Zhang. 2024. Fabricated and altered the cause of cases: An MCN gang of online water army navy has been arrested. https:\/\/content-static.cctvnews.cctv.com\/snow-book\/index.html?item_id=1228812076456706991. Accessed: 2025-04-12."},{"key":"e_1_3_2_2_64_1","unstructured":"Wayne Xin Zhao Kun Zhou Junyi Li Tianyi Tang Xiaolei Wang Yupeng Hou Yingqian Min Beichen Zhang Junjie Zhang Zican Dong Yifan Du Chen Yang Yushuo Chen Zhipeng Chen Jinhao Jiang Ruiyang Ren Yifan Li Xinyu Tang Zikang Liu Peiyu Liu Jian-Yun Nie and Ji-Rong Wen. 2024. A Survey of Large Language Models. arxiv:2303.18223 [cs.CL]"},{"key":"e_1_3_2_2_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412880"},{"key":"e_1_3_2_2_66_1","unstructured":"Yuqi Zhou Sunhao Dai Liang Pang Gang Wang Zhenhua Dong Jun Xu and Ji-Rong Wen. 2024. Source Echo Chamber: Exploring the Escalation of Source Bias in User Data and Recommender System Feedback Loop. arxiv:2405.17998 [cs.IR]"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3185151"}],"event":{"name":"SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Padua Italy","acronym":"SIGIR '25","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3726302.3730027","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T12:16:24Z","timestamp":1755864984000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3730027"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,13]]},"references-count":67,"alternative-id":["10.1145\/3726302.3730027","10.1145\/3726302"],"URL":"https:\/\/doi.org\/10.1145\/3726302.3730027","relation":{},"subject":[],"published":{"date-parts":[[2025,7,13]]},"assertion":[{"value":"2025-07-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}