.

An empirical approach to understanding users' fake news identification on social media

LAUR Repository

Show simple item record

dc.contributor.author Aoun Barakat, Karine
dc.contributor.author Dabbous, Amal
dc.contributor.author Tarhini, Abbas
dc.date.accessioned 2023-05-24T09:54:37Z
dc.date.available 2023-05-24T09:54:37Z
dc.date.copyright 2021 en_US
dc.date.issued 2021-10-14
dc.identifier.issn 1468-4527 en_US
dc.identifier.uri http://hdl.handle.net/10725/14714
dc.description.abstract Purpose During the past few years, the rise in social media use for information purposes in the absence of adequate control mechanisms has led to growing concerns about the reliability of the information in circulation and increased the presence of fake news. While this topic has recently gained researchers' attention, very little is known about users' fake news identification behavior. Hence, the purpose of this study is to understand the factors that contribute to individuals' identification of fake news on social media. Design/methodology/approach This study employs a quantitative approach and proposes a behavioral model that explores the factors influencing users' identification of fake news on social media. It relies on data collected from a sample of 211 social media users which is tested using SEM. Findings The findings show that expertise in social media use and verification behavior have a positive impact on fake news identification, while trust in social media as an information channel decreases this identification behavior. Furthermore, results establish the mediating role of social media information trust and verification behavior. Originality/value The present study enhances our understanding of social media users' fake news identification by presenting a behavioral model. It is one of the few that focuses on the individual and argues that by identifying the factors that reinforce users' fake news identification behavior on social media, this type of misinformation can be reduced. It offers several theoretical and practical contributions. en_US
dc.language.iso en en_US
dc.title An empirical approach to understanding users' fake news identification on social media en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SOB en_US
dc.author.idnumber 199107350 en_US
dc.author.department Information Technology And Operations Management en_US
dc.relation.journal Online Information Review en_US
dc.journal.volume 45 en_US
dc.journal.issue 6 en_US
dc.article.pages 1080-1096 en_US
dc.keywords Fake news en_US
dc.keywords Trust en_US
dc.keywords Social media en_US
dc.keywords Information en_US
dc.keywords Identification behavior en_US
dc.identifier.doi https://doi.org/10.1108/OIR-08-2020-0333 en_US
dc.identifier.ctation Aoun Barakat, K., Dabbous, A., & Tarhini, A. (2021). An empirical approach to understanding users' fake news identification on social media. Online Information Review, 45(6), 1080-1096. en_US
dc.author.email abbas.tarhini@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://www.emerald.com/insight/content/doi/10.1108/OIR-08-2020-0333/full/html en_US
dc.orcid.id https://orcid.org/0000-0002-9441-1649 en_US
dc.author.affiliation Lebanese American University en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search LAUR


Advanced Search

Browse

My Account