{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T01:00:55Z","timestamp":1781053255993,"version":"3.54.1"},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition Letters"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.patrec.2026.04.036","type":"journal-article","created":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T06:35:05Z","timestamp":1777617305000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["TCDI-Net: Early fake news detection network via topical context enhancement and cross-modal deep interaction"],"prefix":"10.1016","volume":"206","author":[{"given":"Anhao","family":"Shu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yijie","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0775-8060","authenticated-orcid":false,"given":"Yue","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6380","key":"10.1016\/j.patrec.2026.04.036_bib0001","doi-asserted-by":"crossref","first-page":"1146","DOI":"10.1126\/science.aap9559","article-title":"The spread of true and false news online","volume":"359","author":"Vosoughi","year":"2018","journal-title":"Science"},{"key":"10.1016\/j.patrec.2026.04.036_bib0002","article-title":"Does fake news impact stock returns? Evidence from US and EU stock markets","volume":"125","author":"Arcuri","year":"2023","journal-title":"J. Econ. Bus."},{"key":"10.1016\/j.patrec.2026.04.036_bib0003","first-page":"24","article-title":"The role of social media rumors in social unrest of Bangladesh","volume":"11","author":"Rahman","year":"2020","journal-title":"Int. J. Stud. Child. Women Elder. Disabl."},{"issue":"4","key":"10.1016\/j.patrec.2026.04.036_bib0004","doi-asserted-by":"crossref","first-page":"4649","DOI":"10.1109\/TCSS.2022.3177359","article-title":"Detecting and mitigating the dissemination of fake news: challenges and future research opportunities","volume":"11","author":"Shahid","year":"2022","journal-title":"IEEE Trans. Comput. Soc. Syst."},{"issue":"2","key":"10.1016\/j.patrec.2026.04.036_bib0005","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1037\/1089-2680.2.2.175","article-title":"Confirmation bias: a ubiquitous phenomenon in many guises","volume":"2","author":"Nickerson","year":"1998","journal-title":"Rev. Gen. Psychol."},{"issue":"4157","key":"10.1016\/j.patrec.2026.04.036_bib0006","doi-asserted-by":"crossref","first-page":"1124","DOI":"10.1126\/science.185.4157.1124","article-title":"Judgment under uncertainty: heuristics and biases: biases in judgments reveal some heuristics of thinking under uncertainty","volume":"185","author":"Tversky","year":"1974","journal-title":"Science"},{"issue":"30","key":"10.1016\/j.patrec.2026.04.036_bib0007","doi-asserted-by":"crossref","DOI":"10.1556\/oh.2009.ho2256","article-title":"The semmelweis-reflex","volume":"150","author":"B\u00e1lint","year":"2009","journal-title":"Orv. Hetil."},{"issue":"1","key":"10.1016\/j.patrec.2026.04.036_bib0008","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1038\/s41598-019-57272-3","article-title":"Rumor propagation is amplified by echo chambers in social media","volume":"10","author":"Choi","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.patrec.2026.04.036_bib0009","series-title":"IJCAI","first-page":"2413","article-title":"MFAN: multi-modal feature-enhanced attention networks for rumor detection","author":"Zheng","year":"2022"},{"key":"10.1016\/j.patrec.2026.04.036_bib0010","series-title":"2019 IEEE International Conference on Data Mining (ICDM)","first-page":"796","article-title":"Jointly embedding the local and global relations of heterogeneous graph for rumor detection","author":"Yuan","year":"2019"},{"key":"10.1016\/j.patrec.2026.04.036_bib0011","series-title":"ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"9961","article-title":"Graph-aware multi-view fusion for rumor detection on social media","author":"Wu","year":"2024"},{"key":"10.1016\/j.patrec.2026.04.036_bib0012","series-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)","first-page":"3845","article-title":"Towards propagation uncertainty: edge-enhanced bayesian graph convolutional networks for rumor detection","author":"Wei","year":"2021"},{"key":"10.1016\/j.patrec.2026.04.036_bib0013","series-title":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","first-page":"1445","article-title":"QSAN: a quantum-probability based signed attention network for explainable false information detection","author":"Tian","year":"2020"},{"key":"10.1016\/j.patrec.2026.04.036_bib0014","series-title":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","first-page":"849","article-title":"EANN: event adversarial neural networks for multi-modal fake news detection","author":"Wang","year":"2018"},{"key":"10.1016\/j.patrec.2026.04.036_bib0015","series-title":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","first-page":"354","article-title":": Similarity-aware multi-modal fake news detection","author":"Zhou","year":"2020"},{"key":"10.1016\/j.patrec.2026.04.036_bib0016","first-page":"397","article-title":"Framing: towards clarification of a fractured paradigm","volume":"390","author":"Entman","year":"1993","journal-title":"McQuail\u2019s Read. Mass Commun. Theory"},{"key":"10.1016\/j.patrec.2026.04.036_bib0017","doi-asserted-by":"crossref","first-page":"2658","DOI":"10.1109\/TETCI.2025.3543389","article-title":"A survey of multimodal fake news detection: a cross-modal interaction perspective","volume":"9","author":"Li","year":"2025","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.patrec.2026.04.036_bib0018","series-title":"Proceedings of the 20th International Conference on World Wide Web","first-page":"675","article-title":"Information credibility on twitter","author":"Castillo","year":"2011"},{"issue":"5","key":"10.1016\/j.patrec.2026.04.036_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104120","article-title":"Improving multimodal fake news detection by leveraging cross-modal content correlation","volume":"62","author":"Qiao","year":"2025","journal-title":"Inf. Process. Manag."},{"key":"10.1016\/j.patrec.2026.04.036_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2025.107625","article-title":"Collaborate large and small language models for multi-modal emergency rumor detection","volume":"190","author":"Yan","year":"2025","journal-title":"Neural Netw."},{"key":"10.1016\/j.patrec.2026.04.036_bib0021","series-title":"Proceedings of the International AAAI Conference on Web and Social Media","first-page":"651","article-title":"A multi-modal prompt learning framework for early detection of fake news","volume":"18","author":"Hu","year":"2024"},{"key":"10.1016\/j.patrec.2026.04.036_bib0022","series-title":"Proceedings of the 31st International Conference on Computational Linguistics","first-page":"3415","article-title":"You only query twice: multimodal rumor detection via evidential evaluation from dual perspectives","author":"Chen","year":"2025"},{"key":"10.1016\/j.patrec.2026.04.036_bib0023","doi-asserted-by":"crossref","first-page":"164846","DOI":"10.1109\/ACCESS.2021.3122978","article-title":"Topic-agnostic fake news video detection using adversarial learning and topic modeling","volume":"9","author":"Choi","year":"2021","journal-title":"IEEE Access"},{"issue":"1","key":"10.1016\/j.patrec.2026.04.036_bib0024","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s10994-024-06727-4","article-title":"Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media","volume":"114","author":"Cantini","year":"2025","journal-title":"Mach. Learn."},{"key":"10.1016\/j.patrec.2026.04.036_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110125","article-title":"Multimodal fake news detection through data augmentation-based contrastive learning","volume":"136","author":"Hua","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.patrec.2026.04.036_bib0026","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"31","article-title":"External reliable information-enhanced multimodal contrastive learning for fake news detection","volume":"39","author":"Cao","year":"2025"},{"key":"10.1016\/j.patrec.2026.04.036_bib0027","unstructured":"Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, V. Stoyanov, RoBERTa: a robustly optimized bert pretraining approach, (2019). arXiv preprint arXiv: 1907.11692."},{"key":"10.1016\/j.patrec.2026.04.036_bib0028","series-title":"International Conference on Machine Learning","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021"},{"key":"10.1016\/j.patrec.2026.04.036_bib0029","series-title":"The World Wide Web Conference","first-page":"2915","article-title":"MVAE: multimodal variational autoencoder for fake news detection","author":"Khattar","year":"2019"},{"key":"10.1016\/j.patrec.2026.04.036_bib0030","series-title":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"2512","article-title":"MKV: mapping key semantics into vectors for rumor detection","author":"Li","year":"2024"}],"container-title":["Pattern Recognition Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865526001674?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865526001674?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T00:42:23Z","timestamp":1781052143000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167865526001674"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":30,"alternative-id":["S0167865526001674"],"URL":"https:\/\/doi.org\/10.1016\/j.patrec.2026.04.036","relation":{},"ISSN":["0167-8655"],"issn-type":[{"value":"0167-8655","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"TCDI-Net: Early fake news detection network via topical context enhancement and cross-modal deep interaction","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition Letters","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patrec.2026.04.036","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}