Excessive information on social media and Generation Z’s long-term COVID-19 vaccine advocacy: a post-pandemic perspective
Excessive information on social media and Generation Z’s long-term COVID-19 vaccine advocacy: a post-pandemic perspective
Purpose: social media played an irreplaceable role in young people’s online social life and information consumption during the COVID-19 pandemic. This research focuses on the impact of excessive information on social media about COVID-19 vaccines on Generation Z’s (Gen Z) associated psychological states and long-term vaccine advocacy.
Design/methodology/approach: the research conducted structural equation modeling analysis with online survey data from 409 Gen Z citizens in the UK.
Findings: the findings suggest that excessive information increased Gen Z social media users’ ambivalence and conspiracy beliefs around COVID-19 vaccines, which, in turn, reduced their long-term vaccine advocacy in terms of vaccine acceptance, vaccination intention, and vaccine promotion. Importantly, Gen Z’s confidence in government and in the healthcare systems during COVID-19 were effective in helping them overcome the detrimental effects of conspiracy beliefs and ambivalence about long-term vaccine advocacy, respectively.
Originality/value: this research reveals the ‘dark side’ of social media use in the post-pandemic period and highlights the significant roles played by social institutions in mitigating the detrimental effects of Gen Z’s support in social decisions. Beyond the context of COVID-19, this research has important implications for facilitating the civic engagement of Gen Z and boosting their confidence in social institutions in terms of social cohesion.
Ambivalence, Confidence in social institutions, Conspiracy beliefs, Generation Z, Long-term vaccine advocacy, Social media
Liu, Hongfei
7d65edcf-20c9-452a-83c2-8b545b12f68c
Meng-Lewis, Yue
b035529b-9f05-4aeb-a12a-2071d259d1af
Liu, Wentong
07adc854-9921-456f-b202-02de75e8e674
Liu, Hongfei
7d65edcf-20c9-452a-83c2-8b545b12f68c
Meng-Lewis, Yue
b035529b-9f05-4aeb-a12a-2071d259d1af
Liu, Wentong
07adc854-9921-456f-b202-02de75e8e674
Liu, Hongfei, Meng-Lewis, Yue and Liu, Wentong
(2024)
Excessive information on social media and Generation Z’s long-term COVID-19 vaccine advocacy: a post-pandemic perspective.
Information Technology & People.
(In Press)
Abstract
Purpose: social media played an irreplaceable role in young people’s online social life and information consumption during the COVID-19 pandemic. This research focuses on the impact of excessive information on social media about COVID-19 vaccines on Generation Z’s (Gen Z) associated psychological states and long-term vaccine advocacy.
Design/methodology/approach: the research conducted structural equation modeling analysis with online survey data from 409 Gen Z citizens in the UK.
Findings: the findings suggest that excessive information increased Gen Z social media users’ ambivalence and conspiracy beliefs around COVID-19 vaccines, which, in turn, reduced their long-term vaccine advocacy in terms of vaccine acceptance, vaccination intention, and vaccine promotion. Importantly, Gen Z’s confidence in government and in the healthcare systems during COVID-19 were effective in helping them overcome the detrimental effects of conspiracy beliefs and ambivalence about long-term vaccine advocacy, respectively.
Originality/value: this research reveals the ‘dark side’ of social media use in the post-pandemic period and highlights the significant roles played by social institutions in mitigating the detrimental effects of Gen Z’s support in social decisions. Beyond the context of COVID-19, this research has important implications for facilitating the civic engagement of Gen Z and boosting their confidence in social institutions in terms of social cohesion.
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Accepted/In Press date: 8 August 2024
Keywords:
Ambivalence, Confidence in social institutions, Conspiracy beliefs, Generation Z, Long-term vaccine advocacy, Social media
Identifiers
Local EPrints ID: 493722
URI: http://eprints.soton.ac.uk/id/eprint/493722
ISSN: 1758-5813
PURE UUID: 14f3f1b4-e588-439c-adfd-4e771df9fc36
Catalogue record
Date deposited: 11 Sep 2024 17:19
Last modified: 12 Sep 2024 02:00
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Contributors
Author:
Yue Meng-Lewis
Author:
Wentong Liu
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