{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T05:18:56Z","timestamp":1778390336685,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T00:00:00Z","timestamp":1717027200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272188"],"award-info":[{"award-number":["62272188"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,30]]},"DOI":"10.1145\/3652583.3658087","type":"proceedings-article","created":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T06:30:40Z","timestamp":1717741840000},"page":"385-393","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Multi-view Counterfactual Contrastive Learning for Fact-checking Fake News Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-3837-1688","authenticated-orcid":false,"given":"Yongcheng","family":"Zhang","sequence":"first","affiliation":[{"name":"Huazhong Agricultural University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8931-0389","authenticated-orcid":false,"given":"Lingou","family":"Kong","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0939-5173","authenticated-orcid":false,"given":"Sheng","family":"Tian","sequence":"additional","affiliation":[{"name":"Huazhong Agricultural University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3026-6347","authenticated-orcid":false,"given":"Hao","family":"Fei","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2901-8616","authenticated-orcid":false,"given":"Changpeng","family":"Xiang","sequence":"additional","affiliation":[{"name":"Huazhong Agricultural University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3162-2350","authenticated-orcid":false,"given":"Huan","family":"Wang","sequence":"additional","affiliation":[{"name":"Huazhong Agricultural University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5993-3054","authenticated-orcid":false,"given":"Xiaomei","family":"Wei","sequence":"additional","affiliation":[{"name":"Huazhong Agricultural University & Key Laboratory of Smart Farming Technology for Agricultural Animals, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0306-4573(02)00021-3"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00355-023-01456-4"},{"key":"e_1_3_2_1_3_1","volume-title":"Centrality and Network Flow. Social networks","author":"Borgatti Stephen P","year":"2005","unstructured":"Stephen P Borgatti. 2005. Centrality and Network Flow. Social networks, Vol. 27, 1 (2005), 55--71."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.11591\/eei.v12i2.4529"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4828"},{"key":"e_1_3_2_1_6_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arxiv","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. arxiv: 1810.04805 [cs.CL]"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2022.3161156"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3250109"},{"key":"e_1_3_2_1_9_1","unstructured":"Zhimeng Guo Teng Xiao Zongyu Wu Charu Aggarwal Hui Liu and Suhang Wang. 2024. Counterfactual Learning on Graphs: A Survey. arxiv: 2304.01391 [cs.LG]"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2547588"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2022.10.004"},{"key":"e_1_3_2_1_12_1","volume-title":"Pan","author":"Hu Zhiwei","year":"2023","unstructured":"Zhiwei Hu, V\u00edctor Guti\u00e9rrez-Basulto, Zhiliang Xiang, Ru Li, and Jeff Z. Pan. 2023. Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs. arxiv: 2310.12008 [cs.CL]"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570376"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-022-01223-1"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Qiang Liu Junfei Wu Shu Wu and Liang Wang. 2024. Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing. arxiv: 2304.12888 [cs.CL]","DOI":"10.1109\/TKDE.2024.3390431"},{"key":"e_1_3_2_1_16_1","volume-title":"NLTK: The Natural Language Toolkit. arxiv: cs\/0205028 [cs.CL]","author":"Loper Edward","year":"2002","unstructured":"Edward Loper and Steven Bird. 2002. NLTK: The Natural Language Toolkit. arxiv: cs\/0205028 [cs.CL]"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1244"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/3061053.3061153"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3055133"},{"key":"e_1_3_2_1_20_1","volume-title":"DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. arxiv","author":"Popat Kashyap","year":"1809","unstructured":"Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, and Gerhard Weikum. 2018. DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. arxiv: 1809.06416 [cs.CL]"},{"key":"e_1_3_2_1_21_1","volume-title":"Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit Sheth, and Amitava Das.","author":"Rani Anku","year":"2023","unstructured":"Anku Rani, S. M Towhidul Islam Tonmoy, Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit Sheth, and Amitava Das. 2023. FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering. arxiv: 2305.04329 [cs.CL]"},{"key":"e_1_3_2_1_22_1","volume-title":"Network Centrality: An Introduction. arxiv","author":"Rodrigues Francisco Aparecido","year":"2019","unstructured":"Francisco Aparecido Rodrigues. 2019. Network Centrality: An Introduction. arxiv: 1901.07901 [physics.soc-ph]"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-2600(22)00475-1"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-30675-4_50"},{"key":"e_1_3_2_1_25_1","volume-title":"Raghuram Mandyam Annasamy, and Eduard Hovy","author":"Vaibhav Vaibhav","year":"2019","unstructured":"Vaibhav Vaibhav, Raghuram Mandyam Annasamy, and Eduard Hovy. 2019. Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification. arxiv: 1910.12203 [cs.CL]"},{"key":"e_1_3_2_1_26_1","first-page":"2579","article-title":"Visualizing Data using T-SNE","volume":"9","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing Data using T-SNE. Journal of machine learning research, Vol. 9, 11 (2008), 2579--2605.","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-2508"},{"key":"e_1_3_2_1_28_1","unstructured":"Nguyen Vo and Kyumin Lee. 2021. Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection. arxiv: 2102.02680 [cs.AI]"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613850"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.17507\/tpls.1109.09"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219903"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599298"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531850"},{"key":"e_1_3_2_1_34_1","unstructured":"Junfei Wu Weizhi Xu Qiang Liu Shu Wu and Liang Wang. 2022b. Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks. arxiv: 2210.05498 [cs.CL]"},{"key":"e_1_3_2_1_35_1","unstructured":"Lianwei Wu Yuan Rao Yuqian Lan Ling Sun and Zhaoyin Qi. 2021a. Unified Dual-view Cognitive Model for Interpretable Claim Verification. arxiv: 2105.09567 [cs.CL]"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.5555\/3491440.3491633"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29893"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.374"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512122"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Feng Yu Qiang Liu Shu Wu Liang Wang Tieniu Tan et al. 2017. A Convolutional Approach for Misinformation Identification. In IJCAI. AAAI Press Melbourne Australia 3901--3907.","DOI":"10.24963\/ijcai.2017\/545"},{"key":"e_1_3_2_1_41_1","volume-title":"A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures. Neural computation","author":"Yu Yong","year":"2019","unstructured":"Yong Yu, Xiaosheng Si, Changhua Hu, and Jianxun Zhang. 2019. A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures. Neural computation, Vol. 31, 7 (2019), 1235--1270."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599494"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCBD.2015.19"},{"key":"e_1_3_2_1_44_1","volume-title":"Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. arxiv","author":"Zhang Yufeng","year":"2004","unstructured":"Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, and Liang Wang. 2020. Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. arxiv: 2004.13826 [cs.CL]"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531816"}],"event":{"name":"ICMR '24: International Conference on Multimedia Retrieval","location":"Phuket Thailand","acronym":"ICMR '24","sponsor":["SIGMM ACM Special Interest Group on Multimedia","SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 2024 International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652583.3658087","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3652583.3658087","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T08:53:53Z","timestamp":1755766433000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652583.3658087"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,30]]},"references-count":45,"alternative-id":["10.1145\/3652583.3658087","10.1145\/3652583"],"URL":"https:\/\/doi.org\/10.1145\/3652583.3658087","relation":{},"subject":[],"published":{"date-parts":[[2024,5,30]]},"assertion":[{"value":"2024-06-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}