Proactive Discovery of Fake News Domains from Real-Time Social Media Feeds

Zhouhan Chen, Juliana Freire

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The proliferation of web sites that disseminate fake news is a growing problem in our society. Not surprisingly, the problem of identifying whether a web page contains fake news has attracted substantial attention. However, the problem of discovering new sources of fake news has been largely unexplored. Timely discovery of such sources is critical to combat misinformation and minimize its potential harm. In this paper, we present an automatic discovery system that proactively surfaces fake news domains before they are flagged by humans. Our system operates in two-steps: first, it uses Twitter feeds to uncover user co-sharing structures to discover political websites; then it uses a topic-agnostic classifier to score and rank newly discovered domains. To demonstrate the effectiveness of our system, we conduct an experimental evaluation in which we collect tweets related to the 2020 presidential impeachment process in the United States, and show that not only our system is able to discover new sites, but that a large percentage of these sites are indeed publishing fake news. We also design an integrated user interface to support fact-checkers and leverage their knowledge. Through this interface, fact-checkers can visualize domain interaction networks, query domain fakeness score, and tag incorrectly predicted results. Our proactive discovery system will expedite fact-checking process and can be a powerful weapon in the toolbox to combat misinformation.

Original languageEnglish (US)
Title of host publicationThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
PublisherAssociation for Computing Machinery
Pages584-592
Number of pages9
ISBN (Electronic)9781450370240
DOIs
StatePublished - Apr 20 2020
Event29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China
Duration: Apr 20 2020Apr 24 2020

Publication series

NameThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020

Conference

Conference29th International World Wide Web Conference, WWW 2020
CountryTaiwan, Province of China
CityTaipei
Period4/20/204/24/20

Keywords

  • fake news discovery
  • misinformation
  • social network analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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