{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T15:13:17Z","timestamp":1785856397658,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,12,9]]},"DOI":"10.1145\/3743093.3771053","type":"proceedings-article","created":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T08:08:11Z","timestamp":1765008491000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["DERM: Dynamic Evidence Reliability Modeling for Multimodal Rumor Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0451-2162","authenticated-orcid":false,"given":"Zhuangzhuang","family":"Pan","sequence":"first","affiliation":[{"name":"Universiti Malaya, Kuala Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3559-4680","authenticated-orcid":false,"given":"Yan","family":"Xia","sequence":"additional","affiliation":[{"name":"Suzhou University of Technology, Suzhou, China and Universiti Malaya, Kuala Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6859-4488","authenticated-orcid":false,"given":"Vimala","family":"Balakrishnan","sequence":"additional","affiliation":[{"name":"Universiti Malaya, Kuala Lumpur, Malaysia and Korea University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7497-7584","authenticated-orcid":false,"given":"Muhammad Zaiamri","family":"Zainal Abidin","sequence":"additional","affiliation":[{"name":"Universiti Malaya, Kuala Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9945-1826","authenticated-orcid":false,"given":"Siti Soraya","family":"Abdul Rahman","sequence":"additional","affiliation":[{"name":"Universiti Malaya, Kuala Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,12,6]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Parisa Bazmi Masoud Asadpour and Azadeh Shakery. 2023. Multi-view co-attention network for fake news detection by modeling topic-specific user and news source credibility. Information Processing & Management 60 1 (2023) 103146. https:\/\/doi.org\/10.1016\/j.ipm.2022.103146.","DOI":"10.1016\/j.ipm.2022.103146"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Xueqin Chen Xiaoyu Huang Qiang Gao Li Huang and Guisong Liu. 2025. Enhancing text-centric fake news detection via external knowledge distillation from LLMs. Neural Networks 187 (2025) 107377. https:\/\/doi.org\/10.1016\/j.neunet.2025.107377.","DOI":"10.1016\/j.neunet.2025.107377"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511968"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.5555\/3618408.3618665"},{"key":"e_1_3_3_1_6_2","unstructured":"Peng Cui Yang Yue Zhijie Deng and Jun Zhu. 2022. Confidence-based reliable learning under dual noises. Advances in Neural Information Processing Systems 35 (2022) 35116\u201335129."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Wei Cui Xuerui Zhang and Mingsheng Shang. 2025. Multi-view mutual learning network for multimodal fake news detection. Expert Systems with Applications 279 (2025) 127407. https:\/\/doi.org\/10.1016\/j.eswa.2025.127407.","DOI":"10.1016\/j.eswa.2025.127407"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Yong Deng. 2020. Uncertainty measure in evidence theory. Science China Information Sciences 63 11 (2020) 210201. https:\/\/doi.org\/10.1007\/s11432-020-3006-9.","DOI":"10.1007\/s11432-020-3006-9"},{"key":"e_1_3_3_1_9_2","first-page":"4171","volume-title":"Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. Bert: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers). 4171\u20134186. https:\/\/doi.org\/10.18653\/v1\/N19-1423."},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Linfeng Han Xiaoming Zhang Ziyi Zhou and Yun Liu. 2024. A multifaceted reasoning network for explainable fake news detection. Information Processing & Management 61 6 (2024) 103822. https:\/\/doi.org\/10.1016\/j.ipm.2024.103822.","DOI":"10.1016\/j.ipm.2024.103822"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Linmei Hu Ziwang Zhao Weijian Qi Xuemeng Song and Liqiang Nie. 2024. Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection. Information Sciences 664 (2024) 120310. https:\/\/doi.org\/10.1016\/j.ins.2024.120310.","DOI":"10.1016\/j.ins.2024.120310"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591896"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Xuejian Huang Tinghuai Ma Huan Rong Li Jia and Yuming Su. 2025. Dual evidence enhancement and text\u2013image similarity awareness for multimodal rumor detection. Engineering Applications of Artificial Intelligence 153 (2025) 110845. https:\/\/doi.org\/10.1016\/j.engappai.2025.110845.","DOI":"10.1016\/j.engappai.2025.110845"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Jing Jing Hongchen Wu Jie Sun Xiaochang Fang and Huaxiang Zhang. 2023. Multimodal fake news detection via progressive fusion networks. Information processing & management 60 1 (2023) 103120.","DOI":"10.1016\/j.ipm.2022.103120"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Rafa\u0142 Kozik Gracjan K\u0105tek Marta Gackowska Sebastian Kula Joanna Komorniczak Pawe\u0142 Ksieniewicz Aleksandra Pawlicka Marek Pawlicki and Micha\u0142 Chora\u015b. 2024. Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case. Neurocomputing 608 (2024) 128450. https:\/\/doi.org\/10.1016\/j.neucom.2024.128450.","DOI":"10.1016\/j.neucom.2024.128450"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Yuqing Lan Zhenghao Liu Yu Gu Xiaoyuan Yi Xiaohua Li Liner Yang and Ge Yu. 2024. Multi-evidence based fact verification via a confidential graph neural network. IEEE Transactions on Big Data 11 2 (2024) 426\u2013437. https:\/\/doi.org\/10.1109\/TBDATA.2024.3403382.","DOI":"10.1109\/TBDATA.2024.3403382"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Alex\u00a0Munyole Luvembe Weimin Li Shaohua Li Fangfang Liu and Guiqiong Xu. 2023. Dual emotion based fake news detection: A deep attention-weight update approach. Information Processing & Management 60 4 (2023) 103354. https:\/\/doi.org\/10.1016\/j.ipm.2023.103354.","DOI":"10.1016\/j.ipm.2023.103354"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"Hongzhen Lv Wenzhong Yang Yabo Yin Fuyuan Wei Jiaren Peng and Haokun Geng. 2025. MDF-FND: A dynamic fusion model for multimodal fake news detection. Knowledge-Based Systems 317 (2025) 113417. https:\/\/doi.org\/10.1016\/j.knosys.2025.113417.","DOI":"10.1016\/j.knosys.2025.113417"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.316"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096188"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462871"},{"key":"e_1_3_3_1_23_2","first-page":"8748","volume-title":"International conference on machine learning","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et\u00a0al. 2021. Learning transferable visual models from natural language supervision. In International conference on machine learning. PmLR, 8748\u20138763."},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Medeswara rao Kondamudi and Somya ranjan Sahoo. 2025. Integrating Explainable AI with Enhanced Ensemble Models for Accurate and Transparent Fake News Detection in OSN\u2019s. Procedia Computer Science 258 (2025) 1081\u20131090. https:\/\/doi.org\/10.1016\/j.procs.2025.04.343.","DOI":"10.1016\/j.procs.2025.04.343"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3487553.3524650"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Bin Wang Yong Feng Xian-cai Xiong Yong-heng Wang and Bao-hua Qiang. 2023. Multi-modal transformer using two-level visual features for fake news detection. Applied Intelligence 53 9 (2023) 10429\u201310443. https:\/\/doi.org\/10.1007\/s10489-022-04055-5.","DOI":"10.1007\/s10489-022-04055-5"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Hui Wang Junfeng Guo Shouxin Liu Pengbing Chen and Xiaowei Li. 2025. SEPM: Multiscale semantic enhancement-progressive multimodal fusion network for fake news detection. Expert Systems with Applications (2025) 127741. https:\/\/doi.org\/10.1016\/j.eswa.2025.127741.","DOI":"10.1016\/j.eswa.2025.127741"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657905"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Fei Wu Hao Jin Feng Chen Yimu Ji Xiao-Yuan Jing and Guo-Ping Jiang. 2025. Balanced Cross-modal Prompt Learning and fusion network for multi-modal fake news detection. Information Fusion (2025) 103196. https:\/\/doi.org\/10.1016\/j.inffus.2025.103196.","DOI":"10.1016\/j.inffus.2025.103196"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"crossref","unstructured":"Junfei Wu Weizhi Xu Qiang Liu Shu Wu and Liang Wang. 2024. Adversarial contrastive learning for evidence-aware fake news detection with graph neural networks. IEEE Transactions on Knowledge and Data Engineering 36 11 (2024) 5591\u20135604. https:\/\/doi.org\/10.1016\/j.engappai.2025.111297.","DOI":"10.1109\/TKDE.2023.3341640"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"crossref","unstructured":"Lianwei Wu Yuzhou Long Chao Gao Zhen Wang and Yanning Zhang. 2023. MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection. Information Fusion 100 (2023) 101944. https:\/\/doi.org\/10.1016\/j.inffus.2023.101944.","DOI":"10.1016\/j.inffus.2023.101944"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.226"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.blackboxnlp-1.27"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"crossref","unstructured":"Fan Xu Lei Zeng Qi Huang Keyu Yan Mingwen Wang and Victor\u00a0S Sheng. 2024. Hierarchical graph attention networks for multi-modal rumor detection on social media. Neurocomputing 569 (2024) 127112. https:\/\/doi.org\/10.1016\/j.neucom.2023.127112.","DOI":"10.1016\/j.neucom.2023.127112"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"crossref","unstructured":"Facheng Yan Mingshu Zhang Bin Wei Kelan Ren and Wen Jiang. 2024. Sard: Fake news detection based on clip contrastive learning and multimodal semantic alignment. Journal of King Saud University-Computer and Information Sciences 36 8 (2024) 102160. https:\/\/doi.org\/10.1016\/j.jksuci.2024.102160.","DOI":"10.1016\/j.jksuci.2024.102160"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730018"},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"crossref","unstructured":"Wencheng Yu Jike Ge Zuqin Chen Han Liu Mukun Ouyang Yujie Zheng and Weiquan Kong. 2024. Research on fake news detection based on dual evidence perception. Engineering Applications of Artificial Intelligence 133 (2024) 108271. https:\/\/doi.org\/10.1016\/j.engappai.2024.108271.","DOI":"10.1016\/j.engappai.2024.108271"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/335"},{"key":"e_1_3_3_1_39_2","first-page":"7862","volume-title":"Proceedings of the 31st International Conference on Computational Linguistics","author":"Zheng Xiaofan","year":"2025","unstructured":"Xiaofan Zheng, Minnan Luo, and Xinghao Wang. 2025. Unveiling fake news with adversarial arguments generated by multimodal large language models. In Proceedings of the 31st International Conference on Computational Linguistics. 7862\u20137869."}],"event":{"name":"MMAsia '25: ACM Multimedia Asia","location":"Kuala Lumpur Malaysia","acronym":"MMAsia '25","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 7th ACM International Conference on Multimedia in Asia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3743093.3771053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T08:08:48Z","timestamp":1765008528000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3743093.3771053"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,6]]},"references-count":38,"alternative-id":["10.1145\/3743093.3771053","10.1145\/3743093"],"URL":"https:\/\/doi.org\/10.1145\/3743093.3771053","relation":{},"subject":[],"published":{"date-parts":[[2025,12,6]]},"assertion":[{"value":"2025-12-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}