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Political Psychology
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Political Psychology
Article
License: CC BY
Data sources: UnpayWall
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Understanding Conspiracy Theories

Authors: Douglas, Karen; Uscinski, Joseph; Sutton, Robbie M.; Cichocka, Aleksandra; Nefes, Turkay; Ang, Chee Siang; Deravi, Farzin;

Understanding Conspiracy Theories

Abstract

Scholarly efforts to understand conspiracy theories have grown significantly in recent years, and there is now a broad and interdisciplinary literature. In reviewing this body of work, we ask three specific questions. First, what factors are associated with conspiracy beliefs? Our review of the literature shows that conspiracy beliefs result from a range of psychological, political, and social factors. Next, how are conspiracy theories communicated? Here, we explain how conspiracy theories are shared among individuals and spread through traditional and social media platforms. Next, what are the societal risks and rewards associated with conspiracy theories? By focusing on politics and science, we argue that conspiracy theories do more harm than good. We conclude by suggesting several promising avenues for future research.

Keywords

Communication, Politics, Conspiracy theories, BF, Conspiracy belief, Psychology

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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!
views
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