Cognitive attraction and online misinformation
Open accessAbstract
The spread of online misinformation has gained mainstream attention in recent years. This paper approaches this phenomenon from a cultural evolution and cognitive anthropology perspective, focusing on the idea that some cultural traits can be successful because their content taps into general cognitive preferences. This research involves 260 articles from media outlets included in two authoritative lists of websites known for publishing hoaxes and ‘fake news’, tracking the presence of negative content, threat-related information, presence of sexually related material, elements associated to disgust, minimally counterintuitive elements (and a particular category of them, i.e., violations of essentialist beliefs), and social information, intended as presence of salient social interactions (e.g., gossip, cheating, formation of alliances), and as news about celebrities. The analysis shows that these features are, to a different degree, present in most texts, and thus that general cognitive inclinations may contribute to explain the success of online misinformation. This account can elucidate questions such as whether and why misinformation online is thriving more than accurate information, or the role of ‘fake news’ as a weapon of political propaganda. Online misinformation, while being an umbrella term covering many different phenomena, can be characterised, in this perspective, not as low-quality information that spreads because of the inefficiency of online communication, but as high-quality information that spreads because of its efficiency. The difference is that ‘quality’ is not equated to truthfulness but to psychological appeal.
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Algorithmic amplification of emotionally and morally charged content may feed back into human social learning-for instance, inflating beliefs about the normative value of expressing moral outrage, increasing outgroup animosity or creating echo chambers and filter bubbles.
“The algorithmic amplification of such content may then feed back into human social learning-for instance, inflating beliefs about the normative value of expressing moral outrage 138,139 , increasing outgroup animosity 140 or creating echo chambers and filter bubbles [141][142][143] .”
From Machine culture (2023) · cites this paper as [138]
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- Authors
- Acerbi, A.
- Affiliations
- Eindhoven University of Technology (NL)
- Corresponding author
- Acerbi, Alberto
- ORCID
- Acerbi, Alberto
- Venue
- Palgrave Communications
- Published
- 2019-02-12
- Volume
- 5
- Issue
- 1
- ISSN
- 2055-1045 (ISSN-L)
- OpenAlex
- W2896295631
- Cited by
- 161
- References
- 38
- Citations by year
- 2026: 10 · 2025: 17 · 2024: 22 · 2023: 33 · 2022: 26 · 2021: 26 · 2020: 13 · 2019: 14
- FWCI
- 39.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Humanities and Social Sciences Communications (publishedVersion, cc-by)
- TU/e Research Portal (publishedVersion, other-oa)
- Iris (University of Trento) (submittedVersion, cc-by)
- TU/e Research Portal (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion)
- TU/e Research Portal (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (016.144312, VIDI Grant 016.144312)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Psychology › Social Psychology › Humor Studies and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Keywords
- online misinformation, fake news, hoaxes, cultural evolution, cognitive anthropology, disgust, essentialist beliefs, social information, gossip, political propaganda, media content analysis
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