Informing social media analysis for public health: a cross-sectional survey of professionals

被引:0
|
作者
White, Becky K. [1 ]
Wilhelm, Elisabeth [2 ]
Ishizumi, Atsuyoshi [1 ]
Abeyesekera, Surangani [3 ]
Pereira, Alhassan [1 ]
Yau, Brian [1 ]
Kuzmanovic, Aleksandra [4 ]
Nguyen, Tim [1 ]
Briand, Sylvie [1 ]
Purnat, Tina D. [1 ]
机构
[1] WHO, Dept Epidem & Pandem Preparedness & Prevent, Hlth Emergencies Programme, Geneva, Switzerland
[2] Univ Memphis, Sch Publ Hlth, Memphis, TN USA
[3] UNICEF, Immunizat Demand Team, New York, NY USA
[4] WHO, Dept Commun, Geneva, Switzerland
关键词
Social media; Infodemic; Emergencies; COVID-19; Social listening; Training; Capacity building;
D O I
10.1186/s13690-023-01230-z
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundDuring the COVID-19 pandemic, the field of infodemic management has grown in response to urgent global need. Social listening is the first step in managing the infodemic, and many organizations and health systems have implemented processes. Social media analysis tools have traditionally been developed for commercial purposes, rather than public health, and little is known of the experiences and needs of those professionals using them for infodemic management.MethodsWe developed a cross sectional survey and distributed through global infodemic management networks between December 2022 and February 2023. Questions were structured over four sections related to work-practice and user needs and did not collect any personal details from participants. Descriptive analysis was conducted on the study results. Qualitative analysis was used to categorise and understand answers to open-text questions.ResultsThere were 417 participants, 162/417 who completed all survey questions, and 255/417 who completed some, all responses are included in analysis. Respondents came from all global regions and a variety of workplaces. Participants had an average of 4.4 years' experience in the analysis of social media for public health. COVID-19 was the most common health issue people had conducted social media analysis for. Results reveal a range of training, technical capacity, and support needs.ConclusionsThis paper is the first we are aware of to seek and describe the needs of those using social media analysis platforms for public health purposes since the start of the COVID-19 pandemic. There are key areas for future work and research, including addressing the training, capacity building and leadership needs of those working in this space, and the need to facilitate easier access to better platforms for performing social media analysis.
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页数:12
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