{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T13:57:30Z","timestamp":1785333450765,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62261160653, 62441619, 62306061"],"award-info":[{"award-number":["62261160653, 62441619, 62306061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ningbo Science and Technology Innovation 2025 Major Project","award":["2025Z027"],"award-info":[{"award-number":["2025Z027"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2023A1515140037"],"award-info":[{"award-number":["2023A1515140037"]}]},{"name":"Open Fund of the National Engineering Laboratory for Big Data System Computing Technology","award":["SZU-BDSC-OF2024-02"],"award-info":[{"award-number":["SZU-BDSC-OF2024-02"]}]},{"name":"the Guangdong Provincial Key Laboratory","award":["2023B1212060076"],"award-info":[{"award-number":["2023B1212060076"]}]},{"name":"the Guangdong Key Laboratory of Information Security Technology at Sun Yat-sen University"},{"name":"Guangdong Research Team for Communication and Sensing Integrated with Intelligent Computing","award":["2024KCXTD047"],"award-info":[{"award-number":["2024KCXTD047"]}]},{"name":"Science and Technology Development Fund of Macau","award":["0044\/2024\/AGJ"],"award-info":[{"award-number":["0044\/2024\/AGJ"]}]},{"name":"the Science and Technology Foundation of Guangdong Province","award":["2024A0505090002"],"award-info":[{"award-number":["2024A0505090002"]}]},{"name":"Songshan Lake High-Performance Computing Center (SSL-HPC) at Great Bay University"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755337","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T06:56:44Z","timestamp":1761375404000},"page":"8164-8173","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Dynamic Analysis and Adaptive Discriminator for Fake News Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4581-1807","authenticated-orcid":false,"given":"Xinqi","family":"Su","sequence":"first","affiliation":[{"name":"Great Bay University, Dongguan, China and Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6505-3304","authenticated-orcid":false,"given":"Zitong","family":"Yu","sequence":"additional","affiliation":[{"name":"Great Bay University, Dongguan, China, Guangdong Provincial Key Laboratory of Intelligent Information Processing & Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China, and Dongguan Key Laboratory for Intelligence and Information Technology, Dongguan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9337-687X","authenticated-orcid":false,"given":"Yawen","family":"Cui","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hongkong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7788-9368","authenticated-orcid":false,"given":"Ajian","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8387-4245","authenticated-orcid":false,"given":"Xun","family":"Lin","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1354-2795","authenticated-orcid":false,"given":"Yuhao","family":"Wang","sequence":"additional","affiliation":[{"name":"Great Bay University, Dongguan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6211-8591","authenticated-orcid":false,"given":"Haochen","family":"Liang","sequence":"additional","affiliation":[{"name":"Great Bay University, Dongguan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9609-6120","authenticated-orcid":false,"given":"Wenhui","family":"Li","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5659-3464","authenticated-orcid":false,"given":"Li","family":"Shen","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7141-708X","authenticated-orcid":false,"given":"Xiaochun","family":"Cao","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3697349"},{"key":"e_1_3_2_1_2_1","volume-title":"Shaden Shaar, Hamed Firooz, and Preslav Nakov.","author":"Alam Firoj","year":"2021","unstructured":"Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, and Preslav Nakov. 2021. A survey on multimodal disinformation detection. arXiv preprint arXiv:2103.12541 (2021)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511968"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.37"},{"key":"e_1_3_2_1_5_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28677"},{"key":"e_1_3_2_1_7_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Hao Yaru","year":"2024","unstructured":"Yaru Hao, Zewen Chi, Li Dong, and Furu Wei. 2024. Optimizing prompts for text-to-image generation. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v11i1.14976"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i20.30214"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3231338"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.62"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i5.20517"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123454"},{"key":"e_1_3_2_1_14_1","volume-title":"Manish Gupta, and Vasudeva Varma.","author":"Khattar Dhruv","year":"2019","unstructured":"Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, and Vasudeva Varma. 2019. Mvae: Multimodal variational autoencoder for fake news detection. In The world wide web conference. 2915-2921."},{"key":"e_1_3_2_1_15_1","volume-title":"Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa.","author":"Kojima Takeshi","year":"2022","unstructured":"Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022. Large language models are zero-shot reasoners. Advances in neural information processing systems, Vol. 35 (2022), 22199-22213."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394231.3397921"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29803"},{"key":"e_1_3_2_1_18_1","volume-title":"Large Language Model Agent for Fake News Detection. arXiv preprint arXiv:2405.01593","author":"Li Xinyi","year":"2024","unstructured":"Xinyi Li, Yongfeng Zhang, and Edward C Malthouse. 2024. Large Language Model Agent for Fake News Detection. arXiv preprint arXiv:2405.01593 (2024)."},{"key":"e_1_3_2_1_19_1","volume-title":"Deep reinforcement learning: An overview. arXiv preprint arXiv:1701.07274","author":"Yuxi Li.","year":"2017","unstructured":"Yuxi Li. 2017. Deep reinforcement learning: An overview. arXiv preprint arXiv:1701.07274 (2017)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599873"},{"key":"e_1_3_2_1_21_1","volume-title":"Prompt Optimization with Human Feedback. arXiv preprint arXiv:2405.17346","author":"Lin Xiaoqiang","year":"2024","unstructured":"Xiaoqiang Lin, Zhongxiang Dai, Arun Verma, See-Kiong Ng, Patrick Jaillet, and Bryan Kian Hsiang Low. 2024a. Prompt Optimization with Human Feedback. arXiv preprint arXiv:2405.17346 (2024)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3573785"},{"key":"e_1_3_2_1_23_1","volume-title":"Patterns","volume":"5","author":"Lin Xun","year":"2024","unstructured":"Xun Lin, Wenzhong Tang, Haoran Wang, Yizhong Liu, Yakun Ju, Shuai Wang, and Zitong Yu. 2024b. Exposing image splicing traces in scientific publications via uncertainty-guided refinement. Patterns, Vol. 5, 9 (2024)."},{"key":"e_1_3_2_1_24_1","volume-title":"Interpretable multimodal misinformation detection with logic reasoning. arXiv preprint arXiv:2305.05964","author":"Liu Hui","year":"2023","unstructured":"Hui Liu, Wenya Wang, and Haoliang Li. 2023. Interpretable multimodal misinformation detection with logic reasoning. arXiv preprint arXiv:2305.05964 (2023)."},{"key":"e_1_3_2_1_25_1","volume-title":"Can Large Language Models Detect Rumors on Social Media? arXiv preprint arXiv:2402.03916","author":"Liu Qiang","year":"2024","unstructured":"Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, and Liang Wang. 2024b. Can Large Language Models Detect Rumors on Social Media? arXiv preprint arXiv:2402.03916 (2024)."},{"key":"e_1_3_2_1_26_1","volume-title":"FakeNewsGPT4: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs. arXiv preprint arXiv:2403.01988","author":"Liu Xuannan","year":"2024","unstructured":"Xuannan Liu, Peipei Li, Huaibo Huang, Zekun Li, Xing Cui, Jiahao Liang, Lixiong Qin, Weihong Deng, and Zhaofeng He. 2024a. FakeNewsGPT4: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs. arXiv preprint arXiv:2403.01988 (2024)."},{"key":"e_1_3_2_1_27_1","volume-title":"Are Large Language Models Good Prompt Optimizers? arXiv preprint arXiv:2402.02101","author":"Ma Ruotian","year":"2024","unstructured":"Ruotian Ma, Xiaolei Wang, Xin Zhou, Jian Li, Nan Du, Tao Gui, Qi Zhang, and Xuanjing Huang. 2024. Are Large Language Models Good Prompt Optimizers? arXiv preprint arXiv:2402.02101 (2024)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482139"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3481548"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3451215"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1317"},{"key":"e_1_3_2_1_32_1","volume-title":"Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media. Big data","author":"Shu Kai","year":"2020","unstructured":"Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. 2020. Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media. Big data, Vol. 8, 3 (2020), 171-188."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"e_1_3_2_1_34_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i10.7230"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3487553.3524664"},{"key":"e_1_3_2_1_37_1","volume-title":"Dell: Generating reactions and explanations for llm-based misinformation detection. arXiv preprint arXiv:2402.10426","author":"Wan Herun","year":"2024","unstructured":"Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, and Minnan Luo. 2024. Dell: Generating reactions and explanations for llm-based misinformation detection. arXiv preprint arXiv:2402.10426 (2024)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613850"},{"key":"e_1_3_2_1_39_1","volume-title":"Promptagent: Strategic planning with language models enables expert-level prompt optimization. arXiv preprint arXiv:2310.16427","author":"Wang Xinyuan","year":"2023","unstructured":"Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P Xing, and Zhiting Hu. 2023a. Promptagent: Strategic planning with language models enables expert-level prompt optimization. arXiv preprint arXiv:2310.16427 (2023)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219903"},{"key":"e_1_3_2_1_41_1","unstructured":"Jerry Wei Jason Wei Yi Tay Dustin Tran Albert Webson Yifeng Lu Xinyun Chen Hanxiao Liu Da Huang Denny Zhou et al. 2023. Larger language models do in-context learning differently. arXiv preprint arXiv:2303.03846 (2023)."},{"key":"e_1_3_2_1_42_1","unstructured":"Alison Willmore. 2016. This analysis shows how viral fake election news stories outperformed real news on facebook."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i11.26609"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3280555"},{"key":"e_1_3_2_1_45_1","first-page":"2560","article-title":"Multimodal fusion with co-attention networks for fake news detection. In Findings of the association for computational linguistics","volume":"2021","author":"Wu Yang","year":"2021","unstructured":"Yang Wu, Pengwei Zhan, Yunjian Zhang, Liming Wang, and Zhen Xu. 2021. Multimodal fusion with co-attention networks for fake news detection. In Findings of the association for computational linguistics: ACL-IJCNLP 2021. 2560-2569.","journal-title":"ACL-IJCNLP"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645468"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/s44267-024-00072-9"},{"key":"e_1_3_2_1_48_1","volume-title":"LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation. arXiv preprint arXiv:2402.11943","author":"Xuan Keyang","year":"2024","unstructured":"Keyang Xuan, Li Yi, Fan Yang, Ruochen Wu, Yi R Fung, and Heng Ji. 2024. LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation. arXiv preprint arXiv:2402.11943 (2024)."},{"key":"e_1_3_2_1_49_1","volume-title":"CAT: Investigating and Enhancing Audio-visual Understanding in Large Language Models","author":"Ye Qilang","year":"2025","unstructured":"Qilang Ye, Zitong Yu, Rui Shao, Yawen Cui, Xiangui Kang, Xin Liu, Philip Torr, and Xiaochun Cao. 2025. CAT: Investigating and Enhancing Audio-visual Understanding in Large Language Models. IEEE Transactions on Pattern Analysis and Machine Intelligence (2025)."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25670"},{"key":"e_1_3_2_1_51_1","volume-title":"RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection. arXiv preprint arXiv:2412.18254","author":"Yu Xinquan","year":"2024","unstructured":"Xinquan Yu, Ziqi Sheng, Wei Lu, Xiangyang Luo, and Jiantao Zhou. 2024. RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection. arXiv preprint arXiv:2412.18254 (2024)."},{"key":"e_1_3_2_1_52_1","volume-title":"Do sentence-level sentiment interactions matter? sentiment mixed heterogeneous network for fake news detection","author":"Zhang Hao","year":"2023","unstructured":"Hao Zhang, Zonglin Li, Sanya Liu, Tao Huang, Zhouwei Ni, Jian Zhang, and Zhihan Lv. 2023. Do sentence-level sentiment interactions matter? sentiment mixed heterogeneous network for fake news detection. IEEE Transactions on Computational Social Systems (2023)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29618"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450004"},{"key":"e_1_3_2_1_55_1","volume-title":"Adabelief optimizer: Adapting stepsizes by the belief in observed gradients. Advances in neural information processing systems","author":"Zhuang Juntang","year":"2020","unstructured":"Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar C Tatikonda, Nicha Dvornek, Xenophon Papademetris, and James Duncan. 2020. Adabelief optimizer: Adapting stepsizes by the belief in observed gradients. Advances in neural information processing systems, Vol. 33 (2020), 18795-18806."}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","location":"Dublin Ireland","acronym":"MM '25","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755337","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T19:46:44Z","timestamp":1765309604000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755337"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":55,"alternative-id":["10.1145\/3746027.3755337","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755337","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}