Fake tweet buster

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Abstract
We present the "Fake Tweet Buster" (FTB), a web application that identifies tweets with fake images and users that are consistently uploading and/or promoting fake information on Twitter. To do that we mix three techniques: (i) reverse image searching, (ii) user analysis and (iii) a crowd sourcing approach to detected that kind of malicious users on Twitter. Using that information we provide a credibility classification for the tweet and the user.
Funding Information
  • Ministerio de Economía y Competitividad