4.4 Article

#Covid-19: An exploratory investigation of hashtag usage on Twitter

期刊

HEALTH POLICY
卷 125, 期 4, 页码 541-547

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ELSEVIER IRELAND LTD
DOI: 10.1016/j.healthpol.2021.01.001

关键词

Covid-19; Hashtags; Twitter

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This study analyzes the key topics and hashtag usage related to Covid-19 on Twitter, providing insights for health policy-makers and practitioners to understand and select appropriate information for health communication. The results show that themes such as Covid-19, identifying information, interventions, and geographical tagging are widely discussed on Twitter.
Background: The literature highlights Twitter as a vital instrument tool for health policy-makers for health communication and promotion. Furthermore, Twitter is a tool allowing us to understand the focus of people regarding a topic of interest. Objective: To provide health policy-makers with insights concerning key topics of interest in the Twitter community regarding Covid-19, and to support information search and health communication. Method: A total of 28.5M tweets have been retrieved, of which 6.9M tweets included hashtags. The data was analyzed using data science and natural language processing libraries. Qualitative analysis was performed using thematic analysis. Results: 907k different hashtags were used. Of these, only 1192 hashtags were used more than 1000 times. The qualitative analysis resulted in 13 themes. The top three themes regarding the number of hashtags used were related to Covid-19, identifying information, interventions, and geographical tagging. We explored the relationship between themes and showed how health practitioners can understand the communication in relation to specific topics expressed as hashtags (e.g., #stayhome). Conclusions: The results provide first insights for policy-makers and health practitioners to identify rel-evant tweets and to choose appropriate hashtags for health communication. The results also show that only with a limited number of Tweets (10 per day) health organizations could have been among the top users. (c) 2021 Elsevier B.V. All rights reserved.

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