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Who has a Choice?: Survey-Based Predictors of Volitionality in Facebook Use and Non-use

Authors:

Devansh Saxena,

Eric P. S. BaumerAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue GROUP

Article No.: 223, Pages 1 - 25

https://doi.org/10.1145/3463935

Published: 13 July 2021 Publication History

Abstract

This paper examines volitionality of Facebook usage, that is, which individuals feel they have a choice about whether or not to use the site. It analyzes data from two large surveys, conducted three years apart. Across the two surveys, a variety of factors impacted whether or not respondents saw their Facebook usage as a matter of their own choice, such as engaging in non-use behaviors, measures of Facebook addiction, a sense of their own agency, and, across both studies, level of education. These results expand on prior literature around technology use and non-use, especially in terms of which populations may feel obligated to use, or be unwillingly prevented from using, social media such as Facebook. Furthermore, they provide potential implications both for future work and for technology policy.

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Cited By

Shin HChung HPark CJun S(2024)Enhancing the Multi-User Experience in Fully Autonomous Vehicles Through Explainable AI Voice AgentsInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2383034(1-15)Online publication date: 29-Jul-2024
https://doi.org/10.1080/10447318.2024.2383034
Ernala SBurke MLeavitt AEllison N(2022)Mindsets Matter: How Beliefs About Facebook Moderate the Association Between Time Spent and Well-BeingProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517569(1-13)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517569

Index Terms

Who has a Choice?: Survey-Based Predictors of Volitionality in Facebook Use and Non-use
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. HCI theory, concepts and models
2. Social and professional topics
  1. User characteristics

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 5, Issue GROUP

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July 2021

190 pages

EISSN:2573-0142

DOI:10.1145/3475950

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Cited By

Shin HChung HPark CJun S(2024)Enhancing the Multi-User Experience in Fully Autonomous Vehicles Through Explainable AI Voice AgentsInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2383034(1-15)Online publication date: 29-Jul-2024
https://doi.org/10.1080/10447318.2024.2383034
Ernala SBurke MLeavitt AEllison N(2022)Mindsets Matter: How Beliefs About Facebook Moderate the Association Between Time Spent and Well-BeingProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517569(1-13)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517569

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