{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/cross-lingual-cross-platform-rumor","title":"Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content","arxiv_id":"1808.04911","date":"2018-08-14","proceeding":"EMNLP 2018 10","authors":["Weiming Wen","Songwen Su","Zhou Yu"],"abstract":"With the increasing popularity of smart devices, rumors with multimedia\ncontent become more and more common on social networks. The multimedia\ninformation usually makes rumors look more convincing. Therefore, finding an\nautomatic approach to verify rumors with multimedia content is a pressing task.\nPrevious rumor verification research only utilizes multimedia as input\nfeatures. We propose not to use the multimedia content but to find external\ninformation in other news platforms pivoting on it. We introduce a new features\nset, cross-lingual cross-platform features that leverage the semantic\nsimilarity between the rumors and the external information. When implemented,\nmachine learning methods utilizing such features achieved the state-of-the-art\nrumor verification results.","url_abs":"http://arxiv.org/abs/1808.04911v2","url_pdf":"http://arxiv.org/pdf/1808.04911v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"cross-lingual-cross-platform-rumor","repo_url":"https://github.com/RakdosCC/CCRV","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"cross-lingual-cross-platform-rumor","repo_url":"https://github.com/WeimingWen/CCRV","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"semantic-similarity","task_name":"Semantic Similarity"},{"task_slug":"semantic-textual-similarity","task_name":"Semantic Textual Similarity"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}