Unraveling Public Health Crises Across Stages: Understanding Twitter Emotions and Message Types During the California Measles Outbreak

Meadows, Charles; Meadows, Cui Zhang; Tang, Lu; Liu, Wenlin

doi:10.1080/10510974.2019.1582546

Cited by 46 publications

(39 citation statements)

References 21 publications

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“…Social media users produce and share timely and locally situated health information in response to public health crises. Meanwhile, governments and health officials have been actively adopting social media to contain harm caused by health crises, for instance, the 2001 anthrax attack in multiple U.S. cities ( Reynolds & Seeger, 2005 ), the 2009 H1N1 flu crisis in Beijing ( Hu & Zhang, 2014 ), and the 2015 measles outbreak in California ( Meadows et al, 2019 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…A great deal of work has been devoted to studying how people seek and share online health information in crisis situations ( Avery, 2010 , 2017 ; Hu & Zhang, 2014 ; Meadows et al, 2019 ; Park et al, 2019 ). Early studies in this stream had largely centered on audience channel selection and found that people were more likely to rely on traditional media for accessing health information in both crisis and routine contexts, who preferred newspapers or magazines over radio and television ( Avery, 2010 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The CERC model assumes that public crises, such as infectious disease outbreaks, natural disasters, or bioterrorism attacks, normally develop in five stages from 1) pre-crisis; 2) initial event; 3) maintenance; 4) resolution; to 5) evaluation ( Reynolds & Seeger, 2005 ). The CERC model was originally proposed as an integrated framework for public health professionals to communicate with the public in a crisis situation ( Meadows et al, 2019 ). This model can be applied to analyzing how Wuhan residents accessed and shared health information on social media in the COVID-19 outbreak as they experienced predictable patterns specified in the five-stage CERC model.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Mental health toll from the coronavirus: Social media usage reveals Wuhan residents’ depression and secondary trauma in the COVID-19 outbreak

Zhong

Huang

Liu

2021

Computers in Human Behavior

263

221

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This study investigates the possible association between social media usage and the mental health toll from the coronavirus at the peak of Wuhan's COVID-19 outbreak. Informed by the Crisis and Emergency Risk Communication Model and Health Belief Model, it proposes a conceptual model to study how people in Wuhan – the first epicenter of the global COVID-19 pandemic – used social media and its effects on users' mental health conditions and health behavior change. The results show that social media usage was related to both depression and secondary trauma, which also predicted health behavior change. But no relation was detected between health behavior change and mental health conditions. As the virus struck, social media usage was rewarding to Wuhan people who gained informational, emotional, and peer support from the health information shared on social media. An excessive use of social media, however, led to mental health issues. The results imply that taking a social media break may promote well-being during the pandemic, which is crucial to mitigating mental health harm inflicted by the pandemic.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Mental health toll from the coronavirus: Social media usage reveals Wuhan residents’ depression and secondary trauma in the COVID-19 outbreak

Zhong

Huang

Liu

2021

Computers in Human Behavior

263

221

View full text Add to dashboard Cite

show abstract

“…Reference [ 37 ] assessed time-specific changes in the intensity and duration of individual distress after an attack, focusing on three primary negative emotions (anger, anxiety, and sadness). Guided by the Crisis and Emergency Risk Communication model, Reference [ 38 ] examined public emotional tone (alarm/concern, reassurance, anger, humor/sarcasm, neutral) from 2881 tweets posted during the initial, maintenance, and resolution stages of the 2015 California measles outbreak. They found that the public showed the greatest interest in the initial stage of the crisis, but their interest substantially declined afterward.…”

Section: Literature Reviewmentioning

confidence: 99%

Tracking and Analyzing Public Emotion Evolutions During COVID-19: A Case Study from the Event-Driven Perspective on Microblogs

Wei

Dang

et al. 2020

IJERPH

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Objective: Coronavirus disease 2019 (COVID-19) has caused substantial panic worldwide since its outbreak in December 2019. This study uses social networks to track the evolution of public emotion during COVID-19 in China and analyzes the root causes of these public emotions from an event-driven perspective. Methods: A dataset was constructed using microblogs (n = 125,672) labeled with COVID-19-related super topics (n = 680) from 40,891 users from 1 December 2019 to 17 February 2020. Based on the skeleton and key change points of COVID-19 extracted from microblogging contents, we tracked the public’s emotional evolution modes (accumulated emotions, emotion covariances, and emotion transitions) by time phase and further extracted the details of dominant social events. Results: Public emotions showed different evolution modes during different phases of COVID-19. Events about the development of COVID-19 remained hot, but generally declined, and public attention shifted to other aspects of the epidemic (e.g., encouragement, support, and treatment). Conclusions: These findings suggest that the public’s feedback on COVID-19 predated official accounts on the microblog platform. There were clear differences in the trending events that large users (users with many fans and readings) and common users paid attention to during each phase of COVID-19.

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“…[12][13][14] The occurrence of a major public health emergency breaks the public's original psychological balance, which results in a psychological abnormality. As a result, identifying the emotions 15 of netizens can be of tremendous help in promoting public health prevention 16 and health education. 17,18 Finding ways to guarantee the safety of the public and limit risks of transmission among the public during public health emergencies is an important consideration for organizers and managers.…”

mentioning

confidence: 99%

Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies

Zhong

2020

Disaster med. public health prep.

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Objective: In this study, we carried out a text analysis on the information disseminated and discussed among netizens on the Baidu Post Bar (the world’s largest Chinese forum) during the COVID-19 epidemic, to create a policy basis for health administrative departments. Methods: We used Python tools to search for the relevant data on the Baidu Post Bar. Next, a text analysis was performed on the posts’ contents using a combination of LDA, sentiment analysis, and correlation analysis. Results: According to the LDA analysis, the public was highly interested in topics such as COVID-19 prevention, infection symptoms, infection and coping measures, sources of transmission and treatments, community management, and work resumption. The majority of the public had negative emotional values, yet a portion of the public held positive emotional values. We also performed a correlation analysis of the influencing factors was established. Conclusion: Netizens’ degree of concern shown in their posts was greatly associated with the spread of COVID-19. With the rise, diffusion, outbreak, and mitigation of COVID-19 in China, netizens have successively created a large number of posts, and the topics of discussion varied over time. Therefore, the media and the government have the responsibility to distribute positive information, to correctly guide the public’s emotions to bring some sort of reassurance to the public.

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Unraveling Public Health Crises Across Stages: Understanding Twitter Emotions and Message Types During the California Measles Outbreak

Cited by 46 publications

References 21 publications

Mental health toll from the coronavirus: Social media usage reveals Wuhan residents’ depression and secondary trauma in the COVID-19 outbreak

Mental health toll from the coronavirus: Social media usage reveals Wuhan residents’ depression and secondary trauma in the COVID-19 outbreak

Tracking and Analyzing Public Emotion Evolutions During COVID-19: A Case Study from the Event-Driven Perspective on Microblogs

Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies

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