US Nationwide Multi-City Media Coverage of COVID-19 Responses: Community Structure Theory, Belief System, and a "Violated Way of Life"

Community structure analysis compared city characteristics and newspaper coverage of state/local government responses to COVID-19 in 25 major U.S. cities, sampling all 250+ word articles from 4/4/20 to 7/6/20. The resulting 588 articles were coded for "prominence" and "direction" (favorable/unfavorable/balanced-neutral coverage), then combined into each newspaper's composite "Media Vector" (range=0.3552 to -0.5197, or 0.8749). Twenty-one of 25 newspapers (84%) displayed unfavorable coverage of local COVID-19 responses. Pearson correlations and regression analysis confirmed a muscular "violated way of life" pattern, when a community perceives itself as threatened by a "biological threat or a threat to a cherished way of life." Political and belief system polarization (in particular percent Evangelical and percent voting Republican) were strongly associated with unfavorable coverage of local pandemic responses, compared to more favorable responses linked to percent voting Democratic or percent Catholic. Vulnerability (percent uninsured) was also linked to negative coverage. Conversely, two different measures of access to healthcare (percent municipal spending on health and welfare, and physicians/100,000) were significantly linked to favorable coverage of the same local government efforts. Community structure theory's grass roots "bottom up" expectations linking community demographics to variations in reporting on critical issues were robustly confirmed.

Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak

This study focuses on stigma communication about COVID-19 on Twitter in the early stage of the outbreak, given the lack of information and rapid global expansion of new cases during this period. Guided by the model of stigma communication, we examine four types of message content, namely mark, group labeling, responsibility, and peril, that are instrumental in forming stigma beliefs and sharing stigma messages. We also explore whether the presence of misinformation and conspiracy theories in COVID-19-related tweets is associated with the presence of COVID-19 stigma content. A total of 155,353 unique COVID-19-related tweets posted between December 31, 2019, and March 13, 2020, were identified, from which 7000 tweets were randomly selected for manual coding. Results showed that the peril of COVID-19 was mentioned the most often, followed by mark, responsibility, and group labeling content. Tweets with conspiracy theories were more likely to include group labeling and responsibility information, but less likely to mention COVID-19 peril. Public health agencies should be aware of the unintentional stigmatization of COVID-19 in public health messages and the urgency to engage and educate the public about the facts of COVID-19.