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https://doi.org/10.5771/978374...
Book . 2020 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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https://doi.org/10.5771/978374...
Book
License: CC BY NC ND
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Fake News und Desinformation

Herausforderungen für die vernetzte Gesellschaft und die empirische Forschung

Fake News und Desinformation

Abstract

Disinformation has long been a tool used in political communication. However, with the election of Donald Trump as President of the United States and in the run-up to Britain’s ‘Brexit’ from the European Union, deliberately falsified news gained a whole new social meaning. Now, the devastating effects false reports can have on democratic systems have become visible. This book explores this phenomenon by defining what ‘fake news’ really is. It examines how, why and by whom it is used and reflects on what can be done about it, both on a societal and personal level. To this end, the book provides an overview of the state of empirical research into fake news and disinformation, particularly with regard to their dissemination, recognisability and effectiveness. At the same time, it discusses the challenges disinformation poses to our society in a mixture of essays, theoretical discussions and empirical studies, which explore the topic from all sides.

Country
Germany
Keywords

830

  • BIP!
    Impact byBIP!
    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).
    9
    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).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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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!
9
Top 10%
Top 10%
Top 10%
hybrid