Propagation Pattern as a Telltale Sign of Fake News on Social Media

Anjan Pal, Alton Y.K. Chua

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

Abstract

This exploratory study examines how fake news differs from real news in terms of propagation pattern on social media. It analyzed 40 news (20 fake news + 20 real news) surrounding the 2016 US presidential election that emerged on Twitter. Three major observations were made. First, fake news appeared to be posted more than real news. Second, with time, the growing volume of tweets for fake news indicated its sustainable propagation to achieve a wider reach. Third, the tweet volume of real news dropped drastically after the first day. However, it was not true for fake news. The observations are discussed in light of the related literature.

Original languageEnglish
Title of host publication5th International Conference on Information Management, ICIM 2019
PublisherIEEE
Pages269-273
Number of pages5
ISBN (Electronic)9781728134307
DOIs
Publication statusPublished - 14 May 2019
Event5th International Conference on Information Management, ICIM 2019 - Cambridge, United Kingdom
Duration: 24 Mar 201927 Mar 2019

Publication series

Name5th International Conference on Information Management, ICIM 2019

Conference

Conference5th International Conference on Information Management, ICIM 2019
Country/TerritoryUnited Kingdom
CityCambridge
Period24/03/1927/03/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Fake news
  • Propagation pattern
  • Real news
  • Social media

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