{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T06:29:21Z","timestamp":1786602561982,"version":"build-2736575974"},"reference-count":62,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/icde65706.2026.00242","type":"proceedings-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T19:23:17Z","timestamp":1786562597000},"page":"3279-3293","source":"Crossref","is-referenced-by-count":0,"title":["Mitigating GenAI-Powered Evidence Pollution for Out-Of-Context Misinformation Detection"],"prefix":"10.1109","author":[{"given":"Zehong","family":"Yan","sequence":"first","affiliation":[{"name":"National University of Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Qi","sequence":"additional","affiliation":[{"name":"National University of Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wynne","family":"Hsu","sequence":"additional","affiliation":[{"name":"National University of Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mong Li","family":"Lee","sequence":"additional","affiliation":[{"name":"National University of Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1389","DOI":"10.18653\/v1\/2023.findings-emnlp.97","article-title":"On the risk of misinformation pollution with large language models","volume-title":"Findings of the Association for Computational Linguistics: EMNLP","author":"Pan","year":"2023"},{"key":"ref2","article-title":"Can llm-generated misinformation be detected?","volume-title":"The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7\u201311, 2024","author":"Chen","year":"2024"},{"key":"ref3","article-title":"A survey on llm-generated text detection: Necessity, methods, and future directions","volume-title":"CoRR","volume":"abs\/2310.14724","author":"Wu","year":"2023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05791-5"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"13677","DOI":"10.18653\/v1\/2023.emnlp-main.844","article-title":"Aligning large language models through synthetic feedback","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Kim","year":"2023"},{"key":"ref6","article-title":"Position: Will we run out of data? limits of LLM scaling based on human-generated data","volume-title":"Forty-first International Conference on Machine Learning, ICML 2024","author":"Villalobos","year":"2024"},{"key":"ref7","first-page":"178","article-title":"A survey on automated fact-checking","volume-title":"Transactions of the Association for Computational Linguistics","volume":"10","author":"Guo","year":"2022"},{"key":"ref8","article-title":"Instruction tuning for large language models: A survey","volume":"abs\/2308.10792","author":"Zhang","year":"2023","journal-title":"CoRR"},{"key":"ref9","article-title":"GPT-4 technical report","volume-title":"CoRR","volume":"abs\/2303.08774","year":"2023"},{"key":"ref10","article-title":"Hierarchical text-conditional image generation with CLIP latents","volume-title":"CoRR","volume":"abs\/2204.06125","author":"Ramesh","year":"2022"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01042"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.1120"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.103"},{"key":"ref14","article-title":"Monitoring ai-modified content at scale: A case study on the impact of chatgpt on AI conference peer reviews","volume-title":"Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21\u201327, 2024","author":"Liang","year":"2024"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"3168","DOI":"10.18653\/v1\/2020.emnlp-main.256","article-title":"Generating label cohesive and well-formed adversarial claims","volume-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","author":"Atanasova","year":"2020"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"8593","DOI":"10.18653\/v1\/2020.acl-main.761","article-title":"DeSePtion: Dual sequence prediction and adversarial examples for improved fact-checking","volume-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","author":"Hidey","year":"2020"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"11476","DOI":"10.18653\/v1\/2023.emnlp-main.703","article-title":"Countering misinformation via emotional response generation","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Russo","year":"2023"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671977"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"11419","DOI":"10.18653\/v1\/2023.emnlp-main.701","article-title":"Don\u2019t take this out of context!: On the need for contextual models and evaluations for stylistic rewriting","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Yerukola","year":"2023"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21302"},{"key":"ref21","first-page":"6719","article-title":"Fact-Saboteurs: A taxonomy of evidence manipulation attacks against fact-verification systems","volume-title":"32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9\u201311, 2023","author":"Abdelnabi","year":"2023"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/icde65448.2025.00270"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"6801","DOI":"10.18653\/v1\/2021.emnlp-main.545","article-title":"NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media","volume-title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","author":"Luo","year":"2021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01452"},{"key":"ref25","article-title":"Detecting out-ofcontext multimodal misinformation with interpretable neural-symbolic model","volume-title":"CoRR","author":"Zhang","year":"2023"},{"key":"ref26","article-title":"RED-DOT: multimodal fact-checking via relevant evidence detection","volume-title":"CoRR","author":"Papadopoulos","year":"2023"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"4268","DOI":"10.18653\/v1\/2023.emnlp-main.259","article-title":"Support or refute: Analyzing the stance of evidence to detect out-of-context mis- and disinformation","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Yuan","year":"2023"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01240"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123385"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3592572.3592842"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7\u20139, 2015, Conference Track Proceedings","author":"Simonyan","year":"2015"},{"key":"ref32","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International conference on machine learning","author":"Radford","year":"2021"},{"key":"ref33","article-title":"VisualBERT: A simple and performant baseline for vision and language","volume-title":"CoRR","author":"Li","year":"1908"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240707"},{"key":"ref35","article-title":"Catching out-of-context misinformation with self-supervised learning","volume-title":"CoRR","volume":"abs\/2101.06278","author":"Aneja","year":"2021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3372278.3390670"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612183"},{"key":"ref38","first-page":"3298","article-title":"Evidence-based factual error correction","volume-title":"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","author":"Thorne","year":"2021"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"15282","DOI":"10.18653\/v1\/2023.emnlp-main.945","article-title":"FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W question-answering","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Chakraborty","year":"2023"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591879"},{"key":"ref41","first-page":"9051","article-title":"Defending against neural fake news","volume-title":"Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8\u201314, 2019, Vancouver, BC, Canada","author":"Zellers","year":"2019"},{"key":"ref42","first-page":"11328","article-title":"PEGASUS: pre-training with extracted gap-sentences for abstractive summarization","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13\u201318 July 2020, Virtual Event, ser. Proceedings of Machine Learning Research","volume":"119","author":"Zhang","year":"2020"},{"key":"ref43","article-title":"Certifiably robust RAG against retrieval corruption","volume-title":"CoRR","volume":"abs\/2405.15556","author":"Xiang","year":"2024"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-emnlp.698"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730027"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"3340","DOI":"10.18653\/v1\/2022.acl-long.236","article-title":"Hallucinated but factual! inspecting the factuality of hallucinations in abstractive summarization","volume-title":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Cao","year":"2022"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3571730"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-023-00312-6"},{"key":"ref49","volume-title":"Hello GPT-4o","year":"2024"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.52202\/075280-2142"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1240"},{"key":"ref52","first-page":"339","article-title":"Verifying crossmodal entity consistency in news using vision-language models","volume-title":"Advances in Information Retrieval \u2212 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6\u201310, 2025, Proceedings, Part IV, ser. Lecture Notes in Computer Science","volume":"15575","author":"Tahmasebi","year":"2025"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2017.2721945"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23386"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2011"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.1120"},{"key":"ref57","volume-title":"Google search\u2019s guidance about ai-generated content","year":"2023"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-acl.717"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-main.1405"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681137"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.621"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2021.3096038"}],"event":{"name":"2026 IEEE 42nd International Conference on Data Engineering (ICDE)","location":"Montreal, QC, Canada","start":{"date-parts":[[2026,5,4]]},"end":{"date-parts":[[2026,5,8]]}},"container-title":["2026 IEEE 42nd International Conference on Data Engineering (ICDE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11629178\/11629165\/11629420.pdf?arnumber=11629420","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T06:03:12Z","timestamp":1786600992000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11629420\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/icde65706.2026.00242","relation":{},"subject":[],"published":{"date-parts":[[2026,5]]}}}