preprintarXiv (Cornell University)Aug 7, 2017GREEN OA

Fake News Detection on Social Media: A Data Mining Perspective

Arizona State University · Charles River Analytics (United States) · +1 more institution

Indexed inarxivdatacite

Abstract

Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume news from social media. On the other hand, it enables the wide spread of "fake news", i.e., low quality news with intentionally false information. The extensive spread of fake news has the potential for extremely negative impacts on individuals and society. Therefore, fake news detection on social media has recently become an emerging research that is attracting tremendous attention. Fake news detection on social media presents unique characteristics and challenges that make existing detection algorithms from traditional news media…

Citation impact

600
total citations
FWCI
Percentile
References
71
Citations per year

Authors

5

Topics & keywords

Keywords
  • Social media
  • Perspective (graphical)
  • Fake news
  • Data science
  • Computer science
  • Internet privacy
  • Political science
  • World Wide Web
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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