Investigating the Impact of Fluency Manipulations on Belief in Fake News on Social Media Platforms

Rana Ali Adeeb () and Mahdi Mirhoseini ()
Additional contact information
Rana Ali Adeeb: Concordia University
Mahdi Mirhoseini: Concordia University

A chapter in Information Systems and Neuroscience, 2025, pp 115-126 from Springer

Abstract: Abstract The circulation of fake news on social media platforms is a major concern. This phenomenon is exacerbated by users’ mindless and rapid scrolling through news feeds and the copious amounts of information that users are exposed to on social media platforms. Although judgement is accompanied by a variety of subjective experiences such as fluency, research on fake news on social media has largely strayed away from understanding the role of these experiences on the perception of fake news. To address this gap, we propose a NeuroIS approach to investigate how two manipulations of fluency: (i) time constraint and (ii) information overload, impact users’ belief in fake news on social media. We also aim to uncover the neural mechanisms by which these manipulations impact truth judgements, which may shed light on the mechanisms by which fake news become entrenched and assist in combatting the fake news proliferation we are witnessing today.

Keywords: Fake news; Social media; Fluency; Belief; fMRI (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-71385-9_9

Ordering information: This item can be ordered from
http://www.springer.com/9783031713859

DOI: 10.1007/978-3-031-71385-9_9

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().