Why do people spread false information online? The effects of message and viewer characteristics on self-reported likelihood of sharing social media disinformation
- PMID: 33027262
- PMCID: PMC7541057
- DOI: 10.1371/journal.pone.0239666
Why do people spread false information online? The effects of message and viewer characteristics on self-reported likelihood of sharing social media disinformation
Abstract
Individuals who encounter false information on social media may actively spread it further, by sharing or otherwise engaging with it. Much of the spread of disinformation can thus be attributed to human action. Four studies (total N = 2,634) explored the effect of message attributes (authoritativeness of source, consensus indicators), viewer characteristics (digital literacy, personality, and demographic variables) and their interaction (consistency between message and recipient beliefs) on self-reported likelihood of spreading examples of disinformation. Participants also reported whether they had shared real-world disinformation in the past. Reported likelihood of sharing was not influenced by authoritativeness of the source of the material, nor indicators of how many other people had previously engaged with it. Participants' level of digital literacy had little effect on their responses. The people reporting the greatest likelihood of sharing disinformation were those who thought it likely to be true, or who had pre-existing attitudes consistent with it. They were likely to have previous familiarity with the materials. Across the four studies, personality (lower Agreeableness and Conscientiousness, higher Extraversion and Neuroticism) and demographic variables (male gender, lower age and lower education) were weakly and inconsistently associated with self-reported likelihood of sharing. These findings have implications for strategies more or less likely to work in countering disinformation in social media.
Conflict of interest statement
The authors have declared that no competing interests exist.
References
-
- House of Commons Digital, Culture, Media and Sport Committee. Disinformation and ‘fake news’: Final Report. 2019 Feb 2 [cited 18 Feb 2019]. Available from: https://publications.parliament.uk/pa/cm201719/cmselect/cmcumeds/1791/17....
-
- Bradshaw S, Howard PN. The Global Disinformation Order: 2019 Global Inventory of Organised Social Media Manipulation. 2019. [cited 26 September 2019]. Available from: https://comprop.oii.ox.ac.uk/wp-content/uploads/sites/93/2019/09/CyberTr....
-
- Krasodomski-Jones A, Judson E, Smith J, Miller C, Jones E. Warring Songs: Information operations in the digital age. 2019. May [cited 21 May 2019]. Available from: https://demos.co.uk/wp-content/uploads/2019/05/Warring-Songs-final-1.pdf.
-
- Howard PN, Ganash B, Liotsiou D, Kell J, François C. The IRA, Social Media and Political Polarization in the United States, 2012–2018. Working Paper 2018.2. 2018 [cited 20 December 2019]. Available from https://comprop.oii.ox.ac.uk/wp-content/uploads/sites/93/2018/12/IRA-Rep....
-
- Zerback T, Töpfl F, Knöpfle M. The disconcerting potential of online disinformation: Persuasive effects of astroturfing comments and three strategies for inoculation against them. New Media & Society. 2020. Available from: 10.1177/1461444820908530. - DOI
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous
