2,705
Views
8
CrossRef citations to date
0
Altmetric
Research Article

Biased Credibility and Sharing of Fake News on Social Media: Considering Peer Context and Self-Objectivity State

Pages 931-958 | Published online: 02 Jan 2022
 

ABSTRACT

Several studies have examined the consumption and spread of fake news on social media. Two notable gaps, though, exist in the extant literature. First, prior research has focused on the political orientation of users while ignoring the broader context of sharing, namely the perceived political orientation of their social media peers. Second, there is limited insight about how user states, especially those related to their judgment abilities, influence the critical evaluation of fake news on social media. This paper addresses these gaps by theorizing the roles of perceived peer political orientation and self-objectivity states of users in translating biased credibility assessments of fake news into biased sharing intentions. It reports on an 7experiment (n=408) that primed self-perceived objectivity (a state) in half of the participants to examine its efficacy in moderating the influence of credibility bias (the extent to which users believe the news that highlight ideas that are consistent with their political orientation more than fake news articles that highlight ideas that are inconsistent with their political orientation) on sharing bias (the extent to which they are likely to share fake news that highlight ideas that are consistent with their political orientation more than fake news that highlight ideas that are inconsistent with their political orientation) while accounting for the moderating effect of perceived peer political orientation (a contextual factor). We found that consistency of fake news with people’s political orientation increased credibility bias and sharing bias and that credibility bias increased sharing bias. We also found that perceived alignment between a user and their peers’ political orientation, as a social context, reduced the effect of credibility bias on sharing bias. Finally, we found mixed support for the moderating effects of primed self-objectivity on the influence of credibility bias on sharing bias; it affected only liberal-leaning participants.

Supplementary material

Supplemental data for this article can be accessed on the publisher’s website.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1. Scale direction choice was set for convenience reasons only, and does not reflect the superiority of one orientation over the other.

Additional information

Notes on contributors

Ofir Turel

Ofir Turel is Professor of Geography at the University of Geneva. She teaches political and cultural geography at the Department of Geography and geography didactics at the Institute of Teacher Education. She specialises in the analysis of landscape policies, mobilisation for landscapes and mediation practices. In 2014 she created the international research group ‘ Landscape Didactics’, which brings together teacher-researchers in geography and landscape architecture from Switzerland, France, Belgium and Canada.

Babajide Osatuyi

Babajide Osatuyi is Professor of Geography at the University of Geneva. She teaches political and cultural geography at the Department of Geography and geography didactics at the Institute of Teacher Education. She specialises in the analysis of landscape policies, mobilisation for landscapes and mediation practices. In 2014 she created the international research group ‘ Landscape Didactics’, which brings together teacher-researchers in geography and landscape architecture from Switzerland, France, Belgium and Canada.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 640.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.