File:Challenges on fighting Disinformation in Wikipedia.pdf

English: Abstract: Different from the major social media websites where the fight against disinformation mainly refers to preventing users to massively replicate fake content, fighting disinformation in Wikipedia requires tools that allows editors to apply the content policies of: verifiability, non-original research, and neutral point of view. Moreover, while other platforms try to apply automatic fact checking techniques to verify content, the ground-truth for such verification is done based on Wikipedia, for obvious reasons we can't follow the same pipeline for fact checking content on Wikipedia. In this talk we will explain the ML approach we are developing to build tools to efficiently support wikipedians to discover suspicious content and how we collaborate with external researchers on this task. We will also describe a group of datasets we are preparing to share with the research community in order to produce state-of-the-art algorithms to improve the verifiability of content on Wikipedia. Video:https://www.youtube.com/watch?v=v9Wcc-TeaEY