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Folk theories of false information

A mixed-methods study in the context of Covid-19 in Turkey

Bibliographic Data

ID12656343
AuthorsSuncem Kocer (0000-0001-5507-2448, Koç University, corresponding author), Bahadır Öz, Gülten Okçuoğlu (Kadir Has University), Fezal Tapramaz (Istanbul University)
Year2022
Volume26
Issue10
Pages5877-5897
Publication date2022-12-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNew Media & Society (JOURNAL)
Journal identifiersISSN: 1461-4448 • E-ISSN: 1461-7315
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/14614448221142310
OpenAlexW4312179067
LanguageEN
Citations received2
References cited41

This study explores how media users define false information in the daily flow of their lives against a backdrop of sociopolitical contexts. We focus on the vernacular definitions of false information through the concept of folk theories, which are the intuitive explanatory tools users develop to make sense of and act in the world around them. Based on mixed-method research conducted in Turkey during the Covid-19 pandemic, we identify three prevailing folk theories of false information. First, users consider text-based characteristics, such as the presence of evidence as a flag of accuracy/inaccuracy. Second, users assume that people in their social networks distinguish between the accurate and the inaccurate, and thus the information coming from these circles is accurate. Finally, users imagine that people whose worldviews conflict with theirs spread inaccurate information. Despite users’ overarching references to textual traits of news, it appears that the latter two folk theories drive users’ information processing practices in daily life

Context (archaeology · Coronavirus disease 2019 (COVID-19 · Epistemology · Focus (optics · Linguistics · Social media · Sociology · Vernacular · World Wide Web · Computer Science · History · Misinformation and Its Impacts · Psychology · Public Relations and Crisis Communication · Rhetoric and Communication Studies

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Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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