{"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/fake-news-detection-on-social-media-a-data","title":"Fake News Detection on Social Media: A Data Mining Perspective","arxiv_id":"1708.01967","date":"2017-08-07","proceeding":null,"authors":["Kai Shu","Amy Sliva","Suhang Wang","Jiliang Tang","Huan Liu"],"abstract":"Social media for news consumption is a double-edged sword. On the one hand,\nits low cost, easy access, and rapid dissemination of information lead people\nto seek out and consume news from social media. On the other hand, it enables\nthe wide spread of \"fake news\", i.e., low quality news with intentionally false\ninformation. The extensive spread of fake news has the potential for extremely\nnegative impacts on individuals and society. Therefore, fake news detection on\nsocial media has recently become an emerging research that is attracting\ntremendous attention. Fake news detection on social media presents unique\ncharacteristics and challenges that make existing detection algorithms from\ntraditional news media ineffective or not applicable. First, fake news is\nintentionally written to mislead readers to believe false information, which\nmakes it difficult and nontrivial to detect based on news content; therefore,\nwe need to include auxiliary information, such as user social engagements on\nsocial media, to help make a determination. Second, exploiting this auxiliary\ninformation is challenging in and of itself as users' social engagements with\nfake news produce data that is big, incomplete, unstructured, and noisy.\nBecause the issue of fake news detection on social media is both challenging\nand relevant, we conducted this survey to further facilitate research on the\nproblem. In this survey, we present a comprehensive review of detecting fake\nnews on social media, including fake news characterizations on psychology and\nsocial theories, existing algorithms from a data mining perspective, evaluation\nmetrics and representative datasets. We also discuss related research areas,\nopen problems, and future research directions for fake news detection on social\nmedia.","url_abs":"http://arxiv.org/abs/1708.01967v3","url_pdf":"http://arxiv.org/pdf/1708.01967v3.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":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/KaiDMML/FakeNewsNet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/MissLummie/ADAFake","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/SaschaStenger/FakeNewsNet_modified","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/fakenewsdetection/fakebuster","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/mdani38/Fake-News-Detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/ushashwat/Fake-News-Detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/MindCode-4/code-11/tree/main/fake-new-dectection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/MindCode-4/code-11/tree/main/falformer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/MindCode-4/code-7/tree/main/fake-new-dectection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"fake-news-detection-on-social-media-a-data","repo_url":"https://github.com/MindSpore-scientific-2/code-12/tree/main/fake-new-dectection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"fake-news-detection","task_name":"Fake News Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1708.01967","atlas_url":"https://app.syntology.ai/?focus=1708.01967","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}