Dataset Information

The effect of big-city news on rural America during the COVID-19 pandemic.

ABSTRACT: Can "urban-centric" local television news coverage of the COVID-19 pandemic affect the behavior of rural residents with lived experiences so different from their "local" news coverage? Leveraging quasi-random geographic variation in media markets for 771 matched rural counties, we show that rural residents are more likely to practice social distancing if they live in a media market that is more impacted by COVID-19. Individual-level survey responses from residents of these counties confirm county-level behavioral differences and help attribute the differences we identify to differences in local television news coverage-self-reported differences only exist among respondents who prefer watching local news, and there are no differences in media usage or consumption across media markets. Although important for showing the ability of local television news to affect behavior despite urban-rural differences, the media-related effects we identify are at most half the size of the differences related to partisan differences.

SUBMITTER: Kim E

PROVIDER: S-EPMC7486744 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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The effect of big-city news on rural America during the COVID-19 pandemic.

Kim Eunji E Shepherd Michael E ME Clinton Joshua D JD

Proceedings of the National Academy of Sciences of the United States of America 20200820 36

Can "urban-centric" local television news coverage of the COVID-19 pandemic affect the behavior of rural residents with lived experiences so different from their "local" news coverage? Leveraging quasi-random geographic variation in media markets for 771 matched rural counties, we show that rural residents are more likely to practice social distancing if they live in a media market that is more impacted by COVID-19. Individual-level survey responses from residents of these counties confirm count ...[more]

PMID: 32820075

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Project description:Despite growing concerns that children (8-13 years old) tend to avoid the news, the reasons why have received little research attention. Therefore, the current study aims to develop and test a model conceptualizing the relations between children's news consumption, news avoidance, emotional responses (negative emotions and anxiety-related behaviors), and parent and child mitigation strategies. The model was tested using data collected during the first year of the COVID-19 pandemic. The current, preregistered, survey study was part of a longitudinal project and used data from the second wave. Data were collected in November/December 2020 among 510 children (M age = 10.40; 53.72% girls). Findings showed that children who consumed more news during the pandemic avoided pandemic news less often. Children who experienced more anxiety-related behaviors regarding pandemic news avoided pandemic news more often. The relation between news consumption and emotional responses was stronger for children who experienced restrictive parental mediation more often, indicating that this was not an effective parental mediation strategy for tempering their emotional responses. Children with higher levels of emotional responses used reactive coping strategies more often. However, this did not seem to be an effective strategy against pandemic news avoidance because none of the strategies had a negative relation with pandemic news avoidance. Distancing was even positively related to pandemic news avoidance. Although the current study was not able to fully unravel how news avoidance-related constructs relate to one another, we were able to get some important insights guiding future research. Specifically, it is of crucial importance to unravel the mechanisms that increase the chance of children's news avoidance and those that mitigate it, to build interventions to counteract news avoidance and to protect children from the negative emotional consequences by news consumption.

Project description:BackgroundThe COVID-19 pandemic is still undergoing complicated developments in Vietnam and around the world. There is a lot of information about the COVID-19 pandemic, especially on the internet where people can create and share information quickly. This can lead to an infodemic, which is a challenge every government might face in the fight against pandemics.ObjectiveThis study aims to understand public attention toward the pandemic (from December 2019 to November 2020) through 7 types of sources: Facebook, Instagram, YouTube, blogs, news sites, forums, and e-commerce sites.MethodsWe collected and analyzed nearly 38 million pieces of text data from the aforementioned sources via SocialHeat, a social listening (infoveillance) platform developed by YouNet Group. We described not only public attention volume trends, discussion sentiments, top sources, top posts that gained the most public attention, and hot keyword frequency but also hot keywords' co-occurrence as visualized by the VOSviewer software tool.ResultsIn this study, we reached four main conclusions. First, based on changing discussion trends regarding the COVID-19 subject, 7 periods were identified based on events that can be aggregated into two pandemic waves in Vietnam. Second, community pages on Facebook were the source of the most engagement from the public. However, the sources with the highest average interaction efficiency per article were government sources. Third, people's attitudes when discussing the pandemic have changed from negative to positive emotions. Fourth, the type of content that attracts the most interactions from people varies from time to time. Besides that, the issue-attention cycle theory occurred not only once but four times during the COVID-19 pandemic in Vietnam.ConclusionsOur study shows that online resources can help the government quickly identify public attention to public health messages during times of crisis. We also determined the hot spots that most interested the public and public attention communication patterns, which can help the government get practical information to make more effective policy reactions to help prevent the spread of the pandemic.

Dataset Information

The effect of big-city news on rural America during the COVID-19 pandemic.

Publications

The effect of big-city news on rural America during the COVID-19 pandemic.

Similar Datasets

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