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research-article

Publicness and directedness

Authors:

Jin KangAuthors Info & Claims

Computers in Human Behavior, Volume 75, Issue C

Pages 70 - 80

https://doi.org/10.1016/j.chb.2017.04.053

Published: 01 October 2017 Publication History

Abstract

SNS users can define their communication context by manipulating a messages publicness and directedness, leaving behavioral traces for observers to interpret. This study investigated how publicness and directedness of a Facebook self-disclosure post influence observers attributions and perceptions of the message and the message sender. With an online between-subjects experiment, participants (N=242) were randomly assigned to be exposed to a post of either high or low publicness, either directed to a specific user or not, either about the positive aspect of the poster or about the negative aspect. Results showed high publicness led observers to make more dispositional attribution about the message senders impression management intention, and self-disclosure was perceived as less intimate. Moreover, message sender was perceived as less likable due to such dispositional attribution. Directed message led to more interpersonal attribution, which further enhanced perceived message intimacy. Disclosure valence moderated influences of publicness and directedness. Specifically, negative self-disclosure on SNS was more associated with social norm violation and was not appreciated to be made public if it was not directed at anyone. High publicness is associated with greater dispositional attribution.High directedness is associated with greater interpersonal attribution.Dispositional attribution leads to lower social attraction of the message sender.Interpersonal attribution leads to higher message intimacy.Disclosure valence moderated the effect of publicness and directedness on senders social attraction.

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cover image Computers in Human Behavior

Computers in Human Behavior Volume 75, Issue C

October 2017

1002 pages

ISSN:0747-5632

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Copyright © Elsevier Ltd.

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 October 2017

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Cited By

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https://dl.acm.org/doi/10.1145/3660337
Wei LLiu B(2022)Reactions to others’ misfortune on social mediaComputers in Human Behavior10.1016/j.chb.2019.08.002102:C(1-13)Online publication date: 21-Apr-2022
https://dl.acm.org/doi/10.1016/j.chb.2019.08.002
Barta KAndalibi N(2021)Constructing Authenticity on TikTok: Social Norms and Social Support on the "Fun" PlatformProceedings of the ACM on Human-Computer Interaction10.1145/34795745:CSCW2(1-29)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3479574
Sun YFang SZhang Z(2021)Impression management strategies on enterprise social media platformsInternational Journal of Information Management: The Journal for Information Professionals10.1016/j.ijinfomgt.2021.10235960:COnline publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1016/j.ijinfomgt.2021.102359
Kashian NWang W(2021)The influence of sensitive health disclosure on liking and likelihood of response in a non-health-related context, FacebookComputers in Human Behavior10.1016/j.chb.2021.106752120:COnline publication date: 1-Jul-2021
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Rui J(2018)Objective evaluation or collective self-presentationComputers in Human Behavior10.1016/j.chb.2018.07.02589:C(121-128)Online publication date: 1-Dec-2018
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Liu BWei L(2018)Modeling social support on social mediaComputers in Human Behavior10.1016/j.chb.2018.05.00687:C(263-275)Online publication date: 1-Oct-2018
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Lankton NMcKnight DTripp J(2017)Facebook privacy management strategiesComputers in Human Behavior10.1016/j.chb.2017.07.01576:C(149-163)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.chb.2017.07.015

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