COVID-19 information overload and generation Z’s social media discontinuance intention during the pandemic lockdown
COVID-19 information overload and generation Z’s social media discontinuance intention during the pandemic lockdown
While previous research highlights the benefits of social media in times of a pandemic, this research focuses on the potential dark side of social media use among Generation Z (Gen Z) in the UK during the COVID-19 pandemic lockdown between March and May 2020. The study reveals that COVID-19 information overload through social media had a negative impact on Gen Z social media users’ psychological well-being. Moreover, perceived information overload heightened both social media fatigue and fear of COVID-19, which, in turn, increased users’ social media discontinuance intention. In addition, considering that social media is the predominant method of maintaining connectivity with others for Gen Z users during the lockdown, the fear of missing out (FoMO) buffered the impact of social media fatigue and fear of COVID-19 on Gen Z users’ social media discontinuance intention. Our research adds a hitherto underexplored perspective to the impact of the COVID-19 pandemic on young people’s mental health. We offer a series of practical suggestions for social media users, social media platform providers, and health officials, institutions, and organizations in the effective and sustainable use of social media during the global COVID-19 pandemic and in the post-pandemic time.
Fear of COVID-19, Generation Z, Information overload, Mental health, Social media fatigue
1-12
Liu, Hongfei
7d65edcf-20c9-452a-83c2-8b545b12f68c
Liu, Wentong
07adc854-9921-456f-b202-02de75e8e674
Yoganathan, Vignesh
67b17a5c-7863-44ba-b858-a9f1371ea624
Osburg, Victoria-Sophie
71d87389-b1ab-4700-a276-97999701f428
1 May 2021
Liu, Hongfei
7d65edcf-20c9-452a-83c2-8b545b12f68c
Liu, Wentong
07adc854-9921-456f-b202-02de75e8e674
Yoganathan, Vignesh
67b17a5c-7863-44ba-b858-a9f1371ea624
Osburg, Victoria-Sophie
71d87389-b1ab-4700-a276-97999701f428
Liu, Hongfei, Liu, Wentong, Yoganathan, Vignesh and Osburg, Victoria-Sophie
(2021)
COVID-19 information overload and generation Z’s social media discontinuance intention during the pandemic lockdown.
Technological Forecasting and Social Change, 166, , [120600].
(doi:10.1016/j.techfore.2021.120600).
Abstract
While previous research highlights the benefits of social media in times of a pandemic, this research focuses on the potential dark side of social media use among Generation Z (Gen Z) in the UK during the COVID-19 pandemic lockdown between March and May 2020. The study reveals that COVID-19 information overload through social media had a negative impact on Gen Z social media users’ psychological well-being. Moreover, perceived information overload heightened both social media fatigue and fear of COVID-19, which, in turn, increased users’ social media discontinuance intention. In addition, considering that social media is the predominant method of maintaining connectivity with others for Gen Z users during the lockdown, the fear of missing out (FoMO) buffered the impact of social media fatigue and fear of COVID-19 on Gen Z users’ social media discontinuance intention. Our research adds a hitherto underexplored perspective to the impact of the COVID-19 pandemic on young people’s mental health. We offer a series of practical suggestions for social media users, social media platform providers, and health officials, institutions, and organizations in the effective and sustainable use of social media during the global COVID-19 pandemic and in the post-pandemic time.
Text
COVID 19 Manuscript_tables and figures
- Accepted Manuscript
More information
Accepted/In Press date: 10 January 2021
e-pub ahead of print date: 14 January 2021
Published date: 1 May 2021
Additional Information:
Publisher Copyright:
© 2021
Keywords:
Fear of COVID-19, Generation Z, Information overload, Mental health, Social media fatigue
Identifiers
Local EPrints ID: 446454
URI: http://eprints.soton.ac.uk/id/eprint/446454
ISSN: 0040-1625
PURE UUID: 7b58a9fa-b31f-435d-ae27-97ea54802776
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Date deposited: 10 Feb 2021 17:33
Last modified: 17 Mar 2024 06:16
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Contributors
Author:
Wentong Liu
Author:
Vignesh Yoganathan
Author:
Victoria-Sophie Osburg
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