research-article

The post that wasn't: exploring self-censorship on facebook

Authors:

Rebecca Balebako,

Amber Lynn McConahy,

Lorrie Faith CranorAuthors Info & Claims

CSCW '13: Proceedings of the 2013 conference on Computer supported cooperative work

Pages 793 - 802

https://doi.org/10.1145/2441776.2441865

Published: 23 February 2013 Publication History

Abstract

Social networking site users must decide what content to share and with whom. Many social networks, including Facebook, provide tools that allow users to selectively share content or block people from viewing content. However, sometimes instead of targeting a particular audience, users will self-censor, or choose not to share. We report the results from an 18-participant user study designed to explore self-censorship behavior as well as the subset of unshared content participants would have potentially shared if they could have specifically targeted desired audiences. We asked participants to report all content they thought about sharing but decided not to share on Facebook and interviewed participants about why they made sharing decisions and with whom they would have liked to have shared or not shared. Participants reported that they would have shared approximately half the unshared content if they had been able to exactly target their desired audiences.

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Cited By

Yilmaz IAkbarzadeh SAbbasov NBashirov G(2024)The Double-Edged Sword: Political Engagement on Social Media and Its Impact on Democracy Support in Authoritarian RegimesPolitical Research Quarterly10.1177/10659129241305035Online publication date: 2-Dec-2024
https://doi.org/10.1177/10659129241305035
Logas JGarg PArriaga RDas S(2024)The Subversive AI Acceptance Scale (SAIA-8): A Scale to Measure User Acceptance of AI-Generated, Privacy-Enhancing Image ModificationsProceedings of the ACM on Human-Computer Interaction10.1145/36410248:CSCW1(1-43)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641024
Lee CYuan C(2024)The Hidden Toll of Instant Messaging Use in Remote Work: Interaction Dynamics Between Subordinates and SupervisorsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642913(1-15)Online publication date: 11-May-2024
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Index Terms

The post that wasn't: exploring self-censorship on facebook
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

CSCW '13: Proceedings of the 2013 conference on Computer supported cooperative work

February 2013

1594 pages

ISBN:9781450313315

DOI:10.1145/2441776

General Chairs:
Amy Bruckman
Georgia Institute of Technology, USA
,
Scott Counts
Microsoft Research, USA
,
Program Chairs:
Cliff Lampe
University of Michigan, USA
,
Loren Terveen
University of Minnesota, USA

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 February 2013

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CSCW '13

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SIGCHI

CSCW '13: Computer Supported Cooperative Work

February 23 - 27, 2013

Texas, San Antonio, USA

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Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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https://doi.org/10.1177/10659129241305035
Logas JGarg PArriaga RDas S(2024)The Subversive AI Acceptance Scale (SAIA-8): A Scale to Measure User Acceptance of AI-Generated, Privacy-Enhancing Image ModificationsProceedings of the ACM on Human-Computer Interaction10.1145/36410248:CSCW1(1-43)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641024
Lee CYuan C(2024)The Hidden Toll of Instant Messaging Use in Remote Work: Interaction Dynamics Between Subordinates and SupervisorsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642913(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642913
Razaq LGhoshal S(2024)What to the Muslim is Internet search: Digital Borders as Barriers to InformationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642770(1-17)Online publication date: 11-May-2024
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Wang KBially Levy DNguyen KLerner AMarsh A(2024)Counting Carrds: Investigating Personal Disclosure and Boundary Management in Transformative FandomProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642664(1-13)Online publication date: 11-May-2024
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Zhou ZElejalde E(2024)Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networksEPJ Data Science10.1140/epjds/s13688-024-00469-y13:1Online publication date: 4-Apr-2024
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Sarig RWolff RToch E(2024)Cleaning house or quiet quitting? Large-scale analysis of account deletion behaviour on TumblrBehaviour & Information Technology10.1080/0144929X.2024.2370432(1-21)Online publication date: 18-Jul-2024
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Mittal TChowdhury SGuhan PChelluri SManocha D(2024)Towards determining perceived audience intent for multimodal social media posts using the theory of reasoned actionScientific Reports10.1038/s41598-024-60299-w14:1Online publication date: 8-May-2024
https://doi.org/10.1038/s41598-024-60299-w
Stevic AKoban KMatthes J(2024)Tell Me More: Longitudinal Relationships Between Online Self-Disclosure, Co-Rumination, and Psychological Well-BeingComputers in Human Behavior10.1016/j.chb.2024.108540(108540)Online publication date: Dec-2024
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