The psychology of social media communication in influencing prevention intentions during the 2019 U.S. measles outbreak

Kim, Sojung Claire; Hawkins, Katherine Hyatt

doi:10.1016/j.chb.2020.106428

Cited by 39 publications

(58 citation statements)

References 106 publications

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“…Finally, this study contributes to the literature on online rumor sharing by revealing the contingency effects of health self-efficacy. Health self-efficacy has been identified to influence individual behaviors to deal with public crises via social media and to act as a contingency factor in online behaviors ( Deng & Liu, 2017 ; Kim & Hawkins, 2020 ; Yoo et al, 2016 ). The rumor sharing process may also be contingent on health self-efficacy; however, the studies of rumor sharing seemingly ignore this issue.…”

Section: Discussionmentioning

confidence: 99%

“… Jackson et al (2007) found that people with high health self-efficacy tend to engage in health-promoting lifestyles. Self-efficacy in health has been found to have a significant effect on prevention behavioral intentions in coping with public crises via social media ( Kim & Hawkins, 2020 ; Yoo et al, 2016 ). Prior studies also indicate that health self-efficacy may play a moderating role or interacting role in influencing outcomes.…”

Section: Theory Backgroundmentioning

confidence: 99%

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Factors affecting individual online rumor sharing behavior in the COVID-19 pandemic

Luo

Wang

Guo

et al. 2021

Computers in Human Behavior

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With the outbreak of COVID-19, online sharing of rumors about the disease is of growing concern worldwide. Drawing on the stimulus–organism–response (S–O-R) framework, this study aims to explore the impacts of peer condition and peer communication on fear of COVID-19, and the impact of fear of COVID-19 on online rumor sharing behavior, by considering the contingency effect of health self-efficacy. Data from 1167 respondents to an online survey in China were adopted to test our research model. The results indicate that peer communication and peer condition induce fear of COVID-19, and fear of COVID-19 results in online rumor sharing. Fear of COVID-19 mediates the effects of peer communication and peer condition on online rumor sharing. Health self-efficacy alleviates the positive effect of peer communication on fear of COVID-19, and the positive effect of fear of COVID-19 on online rumor sharing. This study advances the literature on online rumor sharing and S–O-R, and provides practical implications to social media users and governments.

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Section: Discussionmentioning

confidence: 99%

Section: Theory Backgroundmentioning

confidence: 99%

Factors affecting individual online rumor sharing behavior in the COVID-19 pandemic

Luo

Wang

Guo

et al. 2021

Computers in Human Behavior

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“…Perhaps this is because social media offer timely channels for government agencies to communicate information to stakeholders and for individuals to communicate their status to family and friends. A typical study conducted by Kim and Hawkins [ 13 ] revealed that social media could enhance the awareness encouraging health prevention behaviors. In particular, social media can promote preventive hygiene intention.…”

Section: Literature Reviewmentioning

confidence: 99%

Can social media data be used to evaluate the risk of human interactions during the COVID-19 pandemic?

Lee

et al. 2021

International Journal of Disaster Risk Reduction

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The United States has taken multiple measures to contain the spread of COVID-19, including the implementation of lockdown orders and social distancing practices. Evaluating social distancing is critical since it reflects the frequency of close human interactions. While questionnaire surveys or mobility data-based systems have provided valuable insights, social media data can contribute as an additional instrument to help monitor the risk of human interactions during the pandemic. For this reason, this study introduced a social media-based approach that quantifies the pro/anti-lockdown ratio as an indicator of the risk of human interactions. With the aid of natural language processing and machine learning techniques, this study classified the lockdown-related tweets and quantified the pro/anti-lockdown ratio for each state over time. The anti-lockdown ratio showed a moderate and negative correlation with the state-level social distancing index on a weekly basis, suggesting that people are more likely to travel out of the state where the higher anti-lockdown level is observed. The study further showed that the perception expressed on social media could reflect people’s behaviors. The findings of the study are of significance for government agencies to assess the risk of close human interactions and to evaluate their policy effectiveness in the context of social distancing and lockdown.

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“…Kim and Hawkins suggested that social media strengthen shared awareness and contribute to positive health prevention behaviors amid the 2019 U.S. measles outbreak. In particular, social media expression and reception can help promote preventive hygiene intention [27].…”

Section: Literature Reviewmentioning

confidence: 99%

Can Social Media Data Be Utilized to Enhance Early Warning: Retrospective Analysis of the U.S. Covid-19 Pandemic

Gao

Zhou

et al. 2021

Preprint

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The U.S. needs early warning systems to help it contain the spread of infectious diseases. Conventional early warning systems use lab-test results or dynamic records to signal early warning signs. New early warning systems can supplement these data with indicators of public awareness like news articles and search queries. This study aims to explore the potential of utilizing social media data to enhance early warning of the COVID-19 outbreak. To demonstrate the feasibility, this study conducts a retrospective analysis and investigates more than 14 million related Twitter postings in the date range from January 20 to March 10, 2020. With the aid of natural language processing tools and machine learning classifiers, this study classifies each of these tweets into either a signal or a non-signal. In this study, a 'signal' tweet implies that the user recognized the COVID-19 outbreak risk in the U.S. This study then proposes a parameter 'signal ratio' to signal warning signs of the COVID-19 pandemic over periods. Results reveal that social media data and the signal ratio can detect the hazards ahead of the COVID-19 outbreak. This claim has been validated with a leading time of 16 days through the comparison to other referenced methods based on Google trends or media news.

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The psychology of social media communication in influencing prevention intentions during the 2019 U.S. measles outbreak

Cited by 39 publications

References 106 publications

Factors affecting individual online rumor sharing behavior in the COVID-19 pandemic

Factors affecting individual online rumor sharing behavior in the COVID-19 pandemic

Can social media data be used to evaluate the risk of human interactions during the COVID-19 pandemic?

Can Social Media Data Be Utilized to Enhance Early Warning: Retrospective Analysis of the U.S. Covid-19 Pandemic

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