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Fake News

Authors: Grunewald, Andreas; Kräkel, Matthias;
Abstract

In the last decade, social media and the Internet have amplified the possibility to spread false information, a.k.a. fake news, which has become a serious threat to the credibility of politicians, organizations, and other decision makers. This paper proposes a framework for investigating the incentives to strategically spread fake news under different institutional configurations and payoff structures. In particular, we show under what conditions institutions that foster transparency in the media cause more fake news. Complementary, we study what kind of environments are particularly susceptible to the production of fake news.

Keywords

D72, campaigning, ddc:330, H0, vertical product differentiation, D8, signal jamming, L1, electoral competition

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
0
Average
Average
Average
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