| Autor: |
Qu Y; Hubbard School of Journalism and Mass Communication, University of Minnesota., Saffer AJ; Hubbard School of Journalism and Mass Communication, University of Minnesota., Austin L; Hussman School of Journalism and Media, University of North Carolina. |
| Jazyk: |
angličtina |
| Zdroj: |
Health communication [Health Commun] 2023 Feb; Vol. 38 (2), pp. 216-227. Date of Electronic Publication: 2021 Jun 30. |
| DOI: |
10.1080/10410236.2021.1944457 |
| Abstrakt: |
The pervasive of COVID-19 information has driven some to escape daily conversations or media coverage. A rich set of theoretical discussions and empirical studies help explain why individuals avoid health risk information, but few studies have explored social network antecedents to information avoidance. This study investigates how personal discussion networks about COVID-19 shape individuals' information avoidance behaviors. Using a nationally representative sample ( N = 1,304), we examined the effects of network size, heterogeneity, ego-alter dissimilarity, and social norms. Our results suggest that the four network variables had varying effects on different forms of information avoidance. Notably, social norms significantly predicted individuals' information avoidance. The theoretical and methodological implications of our findings are discussed. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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