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Trends in Cognitive Sciences
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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https://doi.org/10.31219/osf.i...
Article . 2019 . Peer-reviewed
License: CC 0
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Digital Emotion Contagion

Authors: Amit Goldenberg; James J. Gross;

Digital Emotion Contagion

Abstract

People spend considerable time on digital media, and during this time they are often exposed to others’ emotion expressions. This exposure can lead their own emotion expressions to become more like others’ emotion expressions, a process we refer to as digital emotion contagion. This paper reviews the growing literature on digital emotion contagion. After defining emotion contagion, we suggest that one unique feature of digital emotion contagion is that it is mediated by digital media platforms that are motivated to upregulate users’ emotions. We then turn to measurement, and consider the challenges of demonstrating that digital emotion contagion has occurred, and how these challenges have been addressed. Finally, we call for a greater focus on understanding when emotion contagion effects will be strong versus weak or non-existent.

Related Organizations
Keywords

Internet, Emotions, Humans

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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).
    258
    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 0.1%
    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 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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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!
258
Top 0.1%
Top 1%
Top 1%
bronze