Examining the roles of social media information exposure and seeking on COVID-19 vaccination through the S-O-R model: A two-wave panel in Hong Kong

Ma, Haiyun; Lee, Edmund W.J.; Xie, Luyao; Lee, Ho Hin; Hui, Kam Hei; Mo, Phoenix K.H.; Xin, Meiqi

doi:10.1016/j.chb.2024.108243

Computers in Human Behavior

2024

DOI: 10.1016/j.chb.2024.108243

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Examining the roles of social media information exposure and seeking on COVID-19 vaccination through the S-O-R model: A two-wave panel in Hong Kong

Haiyun Ma,

Edmund W.J. Lee,

Luyao Xie

et al.

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Deliberate ignorance towards green tourism: the role of psychological detachment

Tiamiyu

2024

Journal of Ecotourism

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Deliberate ignorance towards green tourism: the role of psychological detachment

Tiamiyu

2024

Journal of Ecotourism

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Modeling the predictors of health information avoidance behavior: Implications from the stimulus organism response (S-O-R) theory

Wang,

Zhang,

Naeem

2024

Journal of Librarianship and Information Science

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The study aimed at modeling the factors that influence health information avoidance behavior, as well as measuring and validating the stimulus organism response (S-O-R) theory. A seven-factor (information overload, information sources exposure, risk perception, health information anxiety, cognitive dissonance, sadness, and health information avoidance) measurement model was used to estimate the health information avoidance behavior using the structural equation modeling (SEM). The findings show that risk perception had a significant positive influence on sadness (β = 0.492, CR = 7.445, p < 0.05), information overload exerts a significant positive impact on cognitive dissonance (β = 0.174, CR = 2.192, p < 0.05) and sadness significantly influence health information avoidance (β = 0.174, CR = 2.342, p < 0.05). Information overload exhibits a positive, but statistically non-significant influence on health information anxiety (β = 0.83, CR = 1.094, p > 0.05). The findings of SEM demonstrate acceptable model fit indices: χ2 = 1.493, DF = 732; p = 0.000; IFI = 0.931; and TLI = 0.925, CFI = 0.930, SRMR = 0.045, RMSEA = 0.044. The study concludes that risk perception, sadness, and information overload are the main predictors of health information avoidance behavior. Other factors such as health information anxiety, exposure to different information sources, and cognitive dissonance had a non-significant impact on information avoidance behavior. The findings hold significant global relevance, potentially contributing to improved information-seeking behavior research. Our study also contributes to the advancement of the S-O-R (Stimulus-Organism-Response) framework

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Examining the roles of social media information exposure and seeking on COVID-19 vaccination through the S-O-R model: A two-wave panel in Hong Kong

Cited by 2 publications

References 78 publications

Deliberate ignorance towards green tourism: the role of psychological detachment

Deliberate ignorance towards green tourism: the role of psychological detachment

Modeling the predictors of health information avoidance behavior: Implications from the stimulus organism response (S-O-R) theory

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