How Do People Decide Political News Credibility'

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we share preliminary results from our research work focused on understanding how people assess news items as fake or real and improve their ability to identify fake news. Using existing real/fake news samples and best practices in qualitative, inductive data analysis, we identify factors that appear to impede ability of individuals to identify fake news. Based on this work we suggest one approach to improve human ability to identify fake news, and sketch a process for systematic development of means for supporting people in identifying fake news.

Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020
EditorsMartin Atzmuller, Michele Coscia, Rokia Missaoui
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages602-605
Number of pages4
ISBN (Electronic)9781728110561
DOIs
StatePublished - 7 Dec 2020
Event12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020 - Virtual, Online, Netherlands
Duration: 7 Dec 202010 Dec 2020

Publication series

NameProceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020

Conference

Conference12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020
Country/TerritoryNetherlands
CityVirtual, Online
Period7/12/2010/12/20

Keywords

  • Misinformation
  • analytic social science
  • qualitative methods
  • social media

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