Document Type
Article
Language
eng
Publication Date
7-1-2015
Publisher
SAGE Publications
Source Publication
Social Media and Society
Source ISSN
2056-3051
Abstract
This article examines social media reversion, when a user intentionally ceases using a social media site but then later resumes use of the site. We analyze a convenience sample of survey data from people who volunteered to stay off Facebook for 99 days but, in some cases, returned before that time. We conduct three separate analyses to triangulate on the phenomenon of reversion: simple quantitative predictors of reversion, factor analysis of adjectives used by respondents to describe their experiences of not using Facebook, and statistical topic analysis of free-text responses. Significant factors predicting either increased or decreased likelihood of reversion include, among others, prior use of Facebook, experiences associated with perceived addiction, issues of social boundary negotiation such as privacy and surveillance, use of other social media, and friends’ reactions to non-use. These findings contribute to the growing literature on technology non-use by demonstrating how social media users negotiate, both with each other and with themselves, among types and degrees of use and non-use.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 3.0 License
Recommended Citation
Baumer, Eric P.S.; Guha, Shion; Quan, Emily; Mimno, David; and Gay, Geri K., "Missing Photos, Suffering Withdrawal, or Finding Freedom? How Experiences of Social Media Non-Use Influence the Likelihood of Reversion" (2015). Mathematics, Statistics and Computer Science Faculty Research and Publications. 626.
https://epublications.marquette.edu/mscs_fac/626
ADA accessible version
Comments
Published version. Social Media and Society, Vol. 1, No. 2 (July 1, 2015): 1-14. DOI. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Shion Guha was affiliated with Cornell University at the time of publication.