PreprintCited by 62Misinformation and Its ImpactsAcademic Publishing and Open AccessComplex Network Analysis Techniques

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Misinformation on Misinformation: Conceptual and Methodological Challenges

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Preprint — published as 10.1177/20563051221150412

Abstract

Alarmist narratives about online misinformation continue to gain traction despite evidence that its prevalence and impact are overstated. Drawing on research examining the use of big data in social science and reception studies, we identify six misconceptions about misinformation and highlight the conceptual and methodological challenges they raise. The first set of misconceptions concerns the prevalence and circulation of misinformation. First, scientists focus on social media because it is methodologically convenient, but misinformation is not just a social media problem. Second, the internet is not rife with misinformation or news, but with memes and entertaining content. Third, falsehoods do not spread faster than the truth; how we define (mis)information influences our results and their practical implications. The second set of misconceptions concerns the impact and the reception of misinformation. Fourth, people do not believe everything they see on the internet: sheer volume of engagement should not be conflated with belief. Fifth, people are more likely to be uninformed than misinformed; surveys overestimate misperceptions and say little about the causal influence of misinformation. Sixth, the influence of misinformation on people’s behavior is overblown as misinformation often ‘preaches to the choir’. To appropriately understand and fight misinformation, future research needs to address these challenges.

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Metadata

Authors
Altay, S., Berriche, M., & Acerbi, A.
Published
2021-11-09
OpenAlex
W4200622372
Cited by
62
References
7
Citations by year
2025: 14 · 2024: 15 · 2023: 20 · 2022: 13
Type
posted content
Language
en
Open access
Locations
  • PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
  • PsyArXiv (OSF Preprints) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
misinformation, reception studies, social media, belief formation

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