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Explore Bristol Research
Part of book or chapter of book . 2022
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.4324/978100...
Part of book or chapter of book . 2022 . Peer-reviewed
Data sources: Crossref
http://dx.doi.org/10.4324/9781...
Part of book or chapter of book . 2022
http://dx.doi.org/10.4324/9781...
Part of book or chapter of book
Data sources: Sygma
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Fake news and participatory propaganda

Authors: Pohl, Rüdiger F.; Lewandowsky, Stephan;

Fake news and participatory propaganda

Abstract

There is much widespread concern about “fake news” and other forms of misinformation, and how they can undermine democracies. Recent research has begun to focus on how fake news and misinformation is spread, and the factors that determine whether information is widely shared by users, thereby going viral. Here I explore why people believe and share information that they know to be false, a phenomenon known as participatory propaganda, and how this can give rise to cascades of misinformation in which ultimately many actors are unwitting participants. I review the limited literature on participatory propaganda and sketch some possible countermeasures to this relatively new phenomenon.

Country
United Kingdom
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Keywords

/dk/atira/pure/core/keywords/cognitive_science, /dk/atira/pure/core/keywords/tedcog, 070, /dk/atira/pure/core/keywords/tedcog; name=TeDCog, name=Cognitive Science, /dk/atira/pure/core/keywords/cognitive_science; name=Cognitive Science, name=TeDCog, 004

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
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