Journal article
Time on social networking sites is associated with impulsive decision-making
- Abstract:
- Almost five billion individuals worldwide use social networking sites (SNSs) such as Instagram, Facebook, Snapchat, and X (formerly known as Twitter). The social rewards obtained on these sites induce users to spend substantial durations of time on them. However, current research demonstrates mixed findings on whether greater time on SNSs is related to riskier decision-making and impulsive tendencies. To address these findings, we conducted an online study (n = 225) to assess how time across four SNSs relates to impulsive decision-making in the delay discounting task. We included each trial as an individual choice in a regression model predicting preference for the immediate reward, for a total of 20,265 choices. Greater average time across all SNSs was related with a higher likelihood of choosing the immediate, but smaller, reward. In other words, people who spent more time on SNSs also made more impulsive decisions. When including individual platforms, greater time on Instagram and X, but not Facebook or Snapchat, was related with a higher likelihood of choosing the immediate reward. These findings help clarify prior literature on the relationship between platform specific SNS use and impulsive decision-making. We discuss limitations, directions for future research, and broader implications for the field.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 790.9KB, Terms of use)
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- Publisher copy:
- 10.1080/0144929x.2024.2374006
Authors
- Publisher:
- Taylor & Francis
- Journal:
- Behaviour & Information Technology More from this journal
- Volume:
- 44
- Issue:
- 9
- Pages:
- 1760-1765
- Publication date:
- 2024-07-05
- Acceptance date:
- 2024-06-24
- DOI:
- EISSN:
-
1362-3001
- ISSN:
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0144-929X
- Language:
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English
- Keywords:
- Pubs id:
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2017880
- Local pid:
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pubs:2017880
- Deposit date:
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2025-03-16
- ARK identifier:
Terms of use
- Copyright holder:
- Pan et al
- Copyright date:
- 2024
- Rights statement:
- © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis GroupThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the AcceptedManuscript in a repository by the author(s) or with their consent.
- Licence:
- CC Attribution (CC BY)
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