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The Subconscious Effect of Subtle Media Bias on Perceptions of Terrorism

Bibliographic Data

ID6179999
AuthorsLukas Feick (0000-0002-1449-5441, University of Konstanz), Karsten Donnay (0000-0002-9080-6539, University of Zurich, corresponding author), K T Mccabe (0000-0001-9183-2918, Rutgers, the State University of New Jersey)
Year2021
Volume49
Issue3
Pages313-318
Publication date2021-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Politics Research (JOURNAL)
Journal identifiersISSN: 1532-673X • E-ISSN: 1552-3373
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1532673x20972105
OpenAlexW3106948264
LanguageEN
Citations received10
References cited21

Media outlets strategically frame news about violent events using sensationalist labels such as “terrorist” or “Islamist” but also more subtle wording choices that affect the overall article tone. We argue theoretically and show empirically using a conjoint experiment that, contrary to existing studies, the effect of these two framing devices on readers’ perceptions of terrorist events should be carefully separated. Even though article tone transports no factual information, in our experiment negative and sensational wording choices carried a greater impact on threat perceptions than the explicit “terrorist” and “Islamist” labels. In a realistic news article setting, which varied other salient context cues such as proximity or event size, subtle shifts in article tone still subconsciously influenced threat perceptions. This highlights the potential dangers of media coverage fueling otherwise unjustified fears by injecting unnecessary editorial tone

Advertising · Business · Framing effect · Headline · Media bias · Perception · Persuasion · Political science · Politics · Salient · Sensationalism · Subconscious · Terrorism · History · Law · Media Influence and Health · Misinformation and Its Impacts · Psychology · Social Psychology · Terrorism, Counterterrorism, and Political Violence

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Unique citing works10
Citations per year2,5
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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