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Emotional strip-mining”

Sympathy sockpuppets in online communities

Bibliographic Data

ID12656265
AuthorsDevon Greyson (0000-0003-4860-384X, University of Massachusetts Amherst, USA; The University of British Columbia, Canada, corresponding author), Kaitlin Light Costello (0000-0002-1589-7418, Rutgers, the State University of New Jersey)
Year2021
Volume25
Issue12
Pages3328-3349
Publication date2021-09-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNew Media & Society (JOURNAL)
Journal identifiersISSN: 1461-4448 • E-ISSN: 1461-7315
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/14614448211040521
OpenAlexW3196971449
LanguageEN
Citations received2
References cited43

Sympathy sockpuppets are false online identities used for purposes of extracting care work from others. While online community infiltration for nefarious purposes is a well-documented phenomenon, people may also join online communities using deceptive personas (“sockpuppet” accounts) for non-nefarious reasons, such as to gain sympathy or cultivate a sense of belonging in a group. In comparison with scamming and trolling, this more subtle form of online deception is not well understood, and to date, its impacts on individuals and communities have not been fully articulated. This knowledge gap leaves communities without guidance when managing the impacts of this sympathy sockpuppet deception. We interviewed people who had been members of online communities that discovered sympathy sockpuppets in their midst to explore and characterize the phenomenon of sympathy sockpuppetry and to provide guidance for other individuals and communities that encounter similar forms of online deception

Deception · Epistemology · Internet privacy · Online community · Phenomenon · Political science · Shame · Sympathy · Computer Science · Deception detection and forensic psychology · Hate Speech and Cyberbullying Detection · Law · Psychology · Social Psychology · Stalking, Cyberstalking, and Harassment

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Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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