Forged Examples as Disinformation

The Biasing Effects of Political Astroturfing Comments on Public Opinion Perceptions and How to Prevent Them

Bibliographic Data

ID11638245
AuthorsT Zerback (0000-0002-2899-396X, University of Zurich, corresponding author), Florian Töpfl (University of Passau)
Year2021
Volume43
Issue3
Pages399-418
Publication date2021-05-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolitical Psychology (JOURNAL)
Journal identifiersISSN: 0162-895X • E-ISSN: 1467-9221
PublisherWiley (PUBLISHER • GB)
DOI10.1111/pops.12767
OpenAlexW3165777919
LanguageEN
Citations received9
References cited47

Online astroturfing is a novel form of disinformation that relies on the imitation of citizen voices to create the false impression that a particular view or idea has widespread support in society. In this study, we test if political online astroturfing messages (i.e., forged user comments beneath digital news items) can influence perceptions of public opinion on three issues: the poisoning of the former Russian intelligence officer Sergei Skripal, the use of toxic gas by Russia's close ally Syria, and the manipulation of the 2016 U.S. presidential election. We further examine the immunizing effects of three inoculation strategies to prevent the distorting effects of online astroturfing comments. Our results indicate that only a few astroturfing comments can bias readers' perceptions of public opinion in the intended direction. Moreover, prior inoculation only provides limited protection against this effect. Only one inoculation strategy (refutational‐same) proved to be effective, but even this effect is only short‐term. Our findings indicate that recent fears about the potentially negative effects of this novel form of disinformation on political discourse are justified and underscore the difficulties of responding to this challenge

Disinformation · Internet privacy · Perception · Political science · Politics · Presidential election · Presidential system · Public opinion · Public relations · Social media · Sociology · Computer Science · Hate Speech and Cyberbullying Detection · Law · Misinformation and Its Impacts · Psychology · Social Media and Politics · Social Psychology

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