"This is Fake! Shared it by Mistake":Assessing the Intent of Fake News Spreaders

Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani

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

Abstract

Individuals can be misled by fake news and spread it unintentionally without knowing it is false. This phenomenon has been frequently observed but has not been investigated. Our aim in this work is to assess the intent of fake news spreaders. To distinguish between intentional versus unintentional spreading, we study the psychological explanations of unintentional spreading. With this foundation, we then propose an influence graph, using which we assess the intent of fake news spreaders. Our extensive experiments show that the assessed intent can help significantly differentiate between intentional and unintentional fake news spreaders. Furthermore, the estimated intent can significantly improve the current techniques that detect fake news. To our best knowledge, this is the first work to model individuals' intent in fake news spreading.

Original languageEnglish (US)
Title of host publicationWWW 2022 - Proceedings of the ACM Web Conference 2022
PublisherAssociation for Computing Machinery, Inc
Pages3685-3694
Number of pages10
ISBN (Electronic)9781450390965
DOIs
StatePublished - Apr 25 2022
Externally publishedYes
Event31st ACM World Wide Web Conference, WWW 2022 - Virtual, Online, France
Duration: Apr 25 2022Apr 29 2022

Publication series

NameWWW 2022 - Proceedings of the ACM Web Conference 2022

Conference

Conference31st ACM World Wide Web Conference, WWW 2022
Country/TerritoryFrance
CityVirtual, Online
Period4/25/224/29/22

Keywords

  • Fake news
  • intent
  • social media

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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