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Article . 2016
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AstroTurfing, 'CyberTurfing' and other online persuasion campaigns

Authors: Leiser, Mark;

AstroTurfing, 'CyberTurfing' and other online persuasion campaigns

Abstract

AstroTurfing and its online equivalent CyberTurfing not only pose a significant threat to consumers, but democratic discourse. Regulatory measures in place to prevent deceptive marketing do not grasp the nature of the threat. It is argued that people make decisions about consumer purchases by using heuristics - mental shortcuts and other rules of thumbs. When making decisions, consumers and voters are often relying on incomplete and false information spread as part of an AstroTurfing campaign. Digitally mediated platforms are being manipulated by propagators to help spread false messages in order to advance specific agendas. As a result, consumer trust and democratic discourse are both undermined. It is argued that further regulation is required to combat the deceptive practice.

Country
United Kingdom
Related Organizations
Keywords

Unfair Commercial Practices Directive, Online Persuasion Campaigns, AstroTurfing, 330, Law (General), CyberTurfing, Commercial speech, 303, K1, Rationality, Sunstein, Social media, Heuristics, Castells, Regulation

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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!
0
Average
Average
Average
Green
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