ArticleBMC public health2022
Identifying features of source and message that influence the retweeting of health information on social media during the COVID-19 pandemic.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Who do we follow online? An experimental study on source clarity and social proximity in digital health communication.Frontiers in public health · 2025Trial
- Mapping risk communication practices in public health emergencies: a scoping review and comparison with Italian regional pandemic plans.BMC public health · 2026Article
- Promote citizen engagement with warnings - an empirical examination of government social media accounts during public health crises.BMC public health · 2025Article
- COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source.JMIR formative research · 2025Article
- Public health agencies' use of social media for communication during pandemics: a scoping review of the literature.Osong public health and research perspectives · 2023Article
- Effects of Chinese provincial CDCs WeChat official account article features on user engagement during the COVID-19 pandemic.Journal of global health · 2023Article
- The impact of the intensity of media use on potential tourists' risk perception and travel protective behavioral intentions in COVID-19.Frontiers in psychology · 2023Article
- Information clarity about Covid-19 in Indonesia: does media exposure matter?BMC public health · 2022Article
- Deriving anti-epidemic policy from public sentiment: A framework based on text analysis with microblog data.PloS one · 2022Article
- Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial media has become an essential tool to implement risk communication, giving health information could gain more exposure by retweeting during the COVID-19 pandemic.
methodsContent analysis was conducted to scrutinize the official (national and provincial) public health agencies' Weibo posts (n = 4396) to identify features of information sources and message features (structure, style content). The Zero-Inflated Negative Binomial (ZINB) model was adopted to analyze the association between these features and the frequency of the retweeted messages.
resultsResults indicated that features of source and health information, such as structure, style, and content, were correlated to retweeting. The results of IRR further suggested that compared to provincial accounts, messages from national health authorities' accounts gained more retweeting. Regarding the information features, messages with hashtags#, picture, video have been retweeted more often than messages without any of these features respectively, while messages with hyperlinks received fewer retweets than messages without hyperlinks. In terms of the information structure, messages with the sentiment (!) have been retweeted more frequently than messages without sentiment. Concerning content, messages containing severity, reassurance, efficacy, and action frame have been retweeted with higher frequency, while messages with uncertainty frames have been retweeted less often.
conclusionsHealth organizations and medical professionals should pay close attention to the features of health information sources, structures, style, and content to satisfy the public's information needs and preferences to promote the public's health engagement. Designing suitable information systems and promoting health communication strategies during different pandemic stages may improve public awareness of the COVID-19, alleviate negative emotions, and promote preventive measures to curb the spread of the virus.
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