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    Rights statement: This is the author’s version of a work that was accepted for publication in Computers in Human Behavior. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers in Human Behavior, 97, 2019 DOI: 10.1016/j.chb.2019.02.025

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College-Aged users behavioral strategies to reduce envy on social networking sites: A cross-cultural investigation

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College-Aged users behavioral strategies to reduce envy on social networking sites: A cross-cultural investigation. / Wenninger, Helena Eva; Cheung, Christy M.K.; Krasnova, Hanna.
In: Computers in Human Behavior, Vol. 97, 01.08.2019, p. 10-23.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Wenninger HE, Cheung CMK, Krasnova H. College-Aged users behavioral strategies to reduce envy on social networking sites: A cross-cultural investigation. Computers in Human Behavior. 2019 Aug 1;97:10-23. Epub 2019 Feb 27. doi: 10.1016/j.chb.2019.02.025

Author

Wenninger, Helena Eva ; Cheung, Christy M.K. ; Krasnova, Hanna. / College-Aged users behavioral strategies to reduce envy on social networking sites : A cross-cultural investigation. In: Computers in Human Behavior. 2019 ; Vol. 97. pp. 10-23.

Bibtex

@article{7dcffc56c93f4876b9fe38b066be53f3,
title = "College-Aged users behavioral strategies to reduce envy on social networking sites: A cross-cultural investigation",
abstract = "Social networking sites (SNSs) are central to social interaction and information sharing in the digital age. However, consuming social information on SNSs invites social upward comparisons with highly socially desirable profile representations, which easily elicits envy in users and leads to unfavorable behaviors on SNSs. This in turn can erode the subjective well-being of users and the sustainability of the SNS platform. Therefore, this paper seeks to develop a better theoretical understanding of how users respond to envy on SNSs. We review literature on envy in offline interactions to derive three behavioral strategies to reduce envy, which we then transfer to the SNS context (self-enhancement, gossiping, and discontinuous intention). Further, we propose a research model and examine how culture, specifically individualism-collectivism, affects the relationship between envy on an SNS and the three strategies. We empirically test the variance-based structural equation model through survey data collected of Facebook users from Germany and Hong Kong. Our findings provide first insights into the link between envy on SNSs, related behavioral strategies and the moderating role of individualism for self-enhancement. ",
keywords = "Envy on SNSs, Social Networking Sites, Facebook, Behavioral Strategies to Reduce SNS-induced Envy, Culture, User behaviors",
author = "Wenninger, {Helena Eva} and Cheung, {Christy M.K.} and Hanna Krasnova",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Computers in Human Behavior. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers in Human Behavior, 97, 2019 DOI: 10.1016/j.chb.2019.02.025",
year = "2019",
month = aug,
day = "1",
doi = "10.1016/j.chb.2019.02.025",
language = "English",
volume = "97",
pages = "10--23",
journal = "Computers in Human Behavior",
issn = "0747-5632",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - College-Aged users behavioral strategies to reduce envy on social networking sites

T2 - A cross-cultural investigation

AU - Wenninger, Helena Eva

AU - Cheung, Christy M.K.

AU - Krasnova, Hanna

N1 - This is the author’s version of a work that was accepted for publication in Computers in Human Behavior. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers in Human Behavior, 97, 2019 DOI: 10.1016/j.chb.2019.02.025

PY - 2019/8/1

Y1 - 2019/8/1

N2 - Social networking sites (SNSs) are central to social interaction and information sharing in the digital age. However, consuming social information on SNSs invites social upward comparisons with highly socially desirable profile representations, which easily elicits envy in users and leads to unfavorable behaviors on SNSs. This in turn can erode the subjective well-being of users and the sustainability of the SNS platform. Therefore, this paper seeks to develop a better theoretical understanding of how users respond to envy on SNSs. We review literature on envy in offline interactions to derive three behavioral strategies to reduce envy, which we then transfer to the SNS context (self-enhancement, gossiping, and discontinuous intention). Further, we propose a research model and examine how culture, specifically individualism-collectivism, affects the relationship between envy on an SNS and the three strategies. We empirically test the variance-based structural equation model through survey data collected of Facebook users from Germany and Hong Kong. Our findings provide first insights into the link between envy on SNSs, related behavioral strategies and the moderating role of individualism for self-enhancement.

AB - Social networking sites (SNSs) are central to social interaction and information sharing in the digital age. However, consuming social information on SNSs invites social upward comparisons with highly socially desirable profile representations, which easily elicits envy in users and leads to unfavorable behaviors on SNSs. This in turn can erode the subjective well-being of users and the sustainability of the SNS platform. Therefore, this paper seeks to develop a better theoretical understanding of how users respond to envy on SNSs. We review literature on envy in offline interactions to derive three behavioral strategies to reduce envy, which we then transfer to the SNS context (self-enhancement, gossiping, and discontinuous intention). Further, we propose a research model and examine how culture, specifically individualism-collectivism, affects the relationship between envy on an SNS and the three strategies. We empirically test the variance-based structural equation model through survey data collected of Facebook users from Germany and Hong Kong. Our findings provide first insights into the link between envy on SNSs, related behavioral strategies and the moderating role of individualism for self-enhancement.

KW - Envy on SNSs

KW - Social Networking Sites

KW - Facebook

KW - Behavioral Strategies to Reduce SNS-induced Envy

KW - Culture

KW - User behaviors

U2 - 10.1016/j.chb.2019.02.025

DO - 10.1016/j.chb.2019.02.025

M3 - Journal article

VL - 97

SP - 10

EP - 23

JO - Computers in Human Behavior

JF - Computers in Human Behavior

SN - 0747-5632

ER -