ArticleComputers in human behavior2021
Emotions in the time of coronavirus: Antecedents of digital and social media use among Millennials.
Article in Computers in human behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- The use of multilevel emotion regulation strategies in the context of critical public events: the more the better?Frontiers in psychology · 2024Article
- Research on the Evolution Trend of Group Psychological Security Risks Under Public Health Emergencies: Mining and Analysis Based on Social Media Data.Psychology research and behavior management · 2024Article
- Digital and physical factors influencing an individual's preventive behavior during the COVID-19 pandemic in Taiwan: A perspective based on the S-O-R model.Computers in human behavior · 2023Article
- Quantified multidimensional public sentiment characteristics on social media for public opinion management: Evidence from the COVID-19 pandemic.Frontiers in public health · 2023Article
- Self-care, Household Cleaning and Disinfection During COVID-19 Pandemic: A Study from Metropolitan Cities of India.Annals of data science · 2022Article
- Article
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Abstract
Increasingly, people are turning to digital and social media to address health threats. While research has commonly investigated the psychosocial antecedents of digital health information seeking behavior (digital HISB) and social media use (SMU), there has been limited research on the independent effects of emotions and no research on the interactive effects of emotions. In the context of the coronavirus COVID-19 pandemic, this study investigates the affective, personal relevance, and socio-demographic antecedents of digital HISB and SMU, using data from an online survey of U.S. Millennials (N = 1037) in April-May 2020. Linear regression results show the effects of socio-demographic and personal relevance factors. For the independent effects of emotions, fear and sadness were associated with digital HISB; fear, joy, and disgust were associated with high-informational SMU; and joy and disgust were associated with low-informational SMU. Three interactive effects of discrete negative emotions suggest that an increase in one emotion can amplify the effect of another emotion on a measure of digital and social media use. In the fourth interaction of two negative emotions with strong biological regulatory processes, there is evidence that an increase in one emotion can diminish the effect of another emotion. Implications for theory and practice are discussed.
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