research-article

Users and nonusers: interactions between levels of adoption and social capital

Authors:

Nicole EllisonAuthors Info & Claims

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

Pages 809 - 820

https://doi.org/10.1145/2441776.2441867

Published: 23 February 2013 Publication History

Abstract

Although Facebook is the largest social network site in the U.S. and attracts an increasingly diverse userbase, some individuals have chosen not to join the site. Using survey data collected from a sample of non-academic staff at a large Midwestern university (N=614), we explore the demographic and cognitive factors that predict whether a person chooses to join Facebook. We find that older adults and those with higher perceived levels of bonding social capital are less likely to use the site. Analyzing open-ended responses from non-users, we find that they express concerns about privacy, context collapse, limited time, and channel effects in deciding to not adopt Facebook. Finally, we compare non-adopters against users who differ on three dimensions of use. We find that light users often have social capital outcomes similar to, or worse than, non-users, and that heavy users report higher perceived bridging and bonding social capital than either group.

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Index Terms

Users and nonusers: interactions between levels of adoption and social capital
1. Human-centered computing
  1. Collaborative and social computing

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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.

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Published: 23 February 2013

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https://doi.org/10.1080/0144929X.2024.2370432
Keküllüoglu DVaniea KWolters MMagdy W(2023)Twitter has a Binary Privacy Setting, are Users Aware of How It Works?Proceedings of the ACM on Human-Computer Interaction10.1145/35795377:CSCW1(1-18)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579537
Gould SWiseman S(2022)Dealing with Digital Service ClosureProceedings of the ACM on Human-Computer Interaction10.1145/35556176:CSCW2(1-25)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555617
Kekulluoglu DVaniea KMagdy W(2022)Understanding Privacy Switching Behaviour on TwitterProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517675(1-14)Online publication date: 29-Apr-2022
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