research-article

Distress Disclosure across Social Media Platforms during the COVID-19 Pandemic: Untangling the Effects of Platforms, Affordances, and Audiences

Authors:

Natalya N. Bazarova,

Madhu ReddyAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 644, Pages 1 - 15

https://doi.org/10.1145/3411764.3445134

Published: 07 May 2021 Publication History

Abstract

Understanding how and why people share negative emotions and thoughts on social media has received much scholarly attention. Scholars have identified a variety of factors that affect disclosure behavior, but as platforms offer a wider range of affordances that enable more diverse user behaviors and nuanced audience segmentation, these influencing factors are increasingly intertwined. However, little is known about the interrelatedness of platform, affordance, and audience. Drawing on survey data of 470 American adults during the COVID-19 pandemic, this study examines the interplay and relative strength of the factors influencing distress disclosure on social media. We introduce the concept of social media disclosure ecology as an analytical lens to understand online disclosure. The results suggest that perceived affordances (i.e., anonymity, persistence, visibility control) and relational closeness to audience separately and interactively predict the depth of distress disclosure, which in turn affects satisfaction with disclosure. This study contributes to the literature on online-disclosure and privacy, while providing implications for the design of social media to better support people in distress.

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Cited By

Ahmed SSakib MDey S(2025)Understanding the Impact of YouTube Videos on Parents of Children with Developmental Delay and DisabilitiesProceedings of the ACM on Human-Computer Interaction10.1145/37012149:1(1-28)Online publication date: 10-Jan-2025
https://dl.acm.org/doi/10.1145/3701214
Valle NZhao PFreed DGorton KChapman AShea ABazarova N(2024)Towards a Critical Framework of Social Media Literacy: A Systematic Literature ReviewReview of Educational Research10.3102/00346543241247224Online publication date: 29-Apr-2024
https://doi.org/10.3102/00346543241247224
Yao YTaylor SLeiser Ransom S(2024)Who’s Viewing My Post? Extending the Imagined Audience Process Model Toward Affordances and Self-Disclosure Goals on Social MediaSocial Media + Society10.1177/2056305123122427110:1Online publication date: 22-Jan-2024
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Index Terms

Distress Disclosure across Social Media Platforms during the COVID-19 Pandemic: Untangling the Effects of Platforms, Affordances, and Audiences

Index terms have been assigned to the content through auto-classification.

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CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
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University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan
,
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University of Copenhagen, Denmark
,
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Microsoft Research, USA

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Cited By

Ahmed SSakib MDey S(2025)Understanding the Impact of YouTube Videos on Parents of Children with Developmental Delay and DisabilitiesProceedings of the ACM on Human-Computer Interaction10.1145/37012149:1(1-28)Online publication date: 10-Jan-2025
https://dl.acm.org/doi/10.1145/3701214
Valle NZhao PFreed DGorton KChapman AShea ABazarova N(2024)Towards a Critical Framework of Social Media Literacy: A Systematic Literature ReviewReview of Educational Research10.3102/00346543241247224Online publication date: 29-Apr-2024
https://doi.org/10.3102/00346543241247224
Yao YTaylor SLeiser Ransom S(2024)Who’s Viewing My Post? Extending the Imagined Audience Process Model Toward Affordances and Self-Disclosure Goals on Social MediaSocial Media + Society10.1177/2056305123122427110:1Online publication date: 22-Jan-2024
https://doi.org/10.1177/20563051231224271
Corvite SHui J(2024)Social Media as a Lens into Careers During a Changing World of WorkProceedings of the ACM on Human-Computer Interaction10.1145/36870538:CSCW2(1-27)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687053
Barta KAndalibi N(2024)Theorizing Self Visibility on Social Media: A Visibility Objects LensACM Transactions on Computer-Human Interaction10.1145/366033731:3(1-28)Online publication date: 22-Apr-2024
https://dl.acm.org/doi/10.1145/3660337
Zhang PZhou QLu TGu HGu N(2024)DeLink: An Adversarial Framework for Defending against Cross-site User Identity LinkageACM Transactions on the Web10.1145/364382818:2(1-34)Online publication date: 12-Mar-2024
https://dl.acm.org/doi/10.1145/3643828
Pinch ABirnholtz JMacapagal KKraus AMoskowitz D(2024)The Subtleties of Self-Presentation: A study of sensitive disclosure among sexual minority adolescentsProceedings of the ACM on Human-Computer Interaction10.1145/36374088:CSCW1(1-27)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637408
Ali NQadir SAlsoubai ADe Choudhury MRazi AWisniewski P(2024)"I'm gonna KMS": From Imminent Risk to Youth Joking about Suicide and Self-Harm via Social MediaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642489(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642489
Ding XCarik BGunturi UReyna VRho E(2024)Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media LanguageProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642117(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642117
McKinley CChoi JLuo Y(2024)Expressing Uncertainty and Risk About the Mpox Outbreak: A Textual Analysis of Twitter MessagingCommunication Studies10.1080/10510974.2024.231143375:3(283-301)Online publication date: 9-Feb-2024
https://doi.org/10.1080/10510974.2024.2311433
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