English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

What Drives People Away from COVID-19 Information?: Uncovering the Influences of Personal Networks on Information Avoidance