{"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/characterizing-political-fake-news-in-twitter","title":"Characterizing Political Fake News in Twitter by its Meta-Data","arxiv_id":"1712.05999","date":"2017-12-16","proceeding":null,"authors":["Julio Amador","Axel Oehmichen","Miguel Molina-Solana"],"abstract":"This article presents a preliminary approach towards characterizing political\nfake news on Twitter through the analysis of their meta-data. In particular, we\nfocus on more than 1.5M tweets collected on the day of the election of Donald\nTrump as 45th president of the United States of America. We use the meta-data\nembedded within those tweets in order to look for differences between tweets\ncontaining fake news and tweets not containing them. Specifically, we perform\nour analysis only on tweets that went viral, by studying proxies for users'\nexposure to the tweets, by characterizing accounts spreading fake news, and by\nlooking at their polarization. We found significant differences on the\ndistribution of followers, the number of URLs on tweets, and the verification\nof the users.","url_abs":"http://arxiv.org/abs/1712.05999v1","url_pdf":"http://arxiv.org/pdf/1712.05999v1.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":"characterizing-political-fake-news-in-twitter","repo_url":"https://github.com/MissLummie/ADAFake","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}