Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
The study uses health risk frames to conduct 1) a content analysis and 2) a computational sentiment analysis to analyze the framing of the COVID-19 vaccine in Instagram posts by major broadcast news networks during its first year of availability in the United States. The analysis focused on the portrayal of the vaccine as a pro-social solution to the pandemic, with emphasis on the consequences of the pandemic, individual solutions from medical professionals grounded in science, and the vaccine as a preventive measure. Findings from qualitative content analysis (N = 45) included a reduced presence of alarmist, loss, conflict, and economic consequences frames, and the absence of uncertainty,indicating an explanatory framework and support for the vaccine. The computational sentiment analysis (N = 178) revealed a slightly positive and variable sentiment, suggesting an overall affirmative picture of the vaccine in the networks’ Instagram coverage.
Recommended Citation
Ritchart, Amy and Britt, Rebecca, "Pro-social framing and sentiment in U.S. broadcast networks’ Instagram posts about the COVID-19 vaccine" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 6.
https://aisel.aisnet.org/hicss-57/hc/social_media/6
Pro-social framing and sentiment in U.S. broadcast networks’ Instagram posts about the COVID-19 vaccine
Hilton Hawaiian Village, Honolulu, Hawaii
The study uses health risk frames to conduct 1) a content analysis and 2) a computational sentiment analysis to analyze the framing of the COVID-19 vaccine in Instagram posts by major broadcast news networks during its first year of availability in the United States. The analysis focused on the portrayal of the vaccine as a pro-social solution to the pandemic, with emphasis on the consequences of the pandemic, individual solutions from medical professionals grounded in science, and the vaccine as a preventive measure. Findings from qualitative content analysis (N = 45) included a reduced presence of alarmist, loss, conflict, and economic consequences frames, and the absence of uncertainty,indicating an explanatory framework and support for the vaccine. The computational sentiment analysis (N = 178) revealed a slightly positive and variable sentiment, suggesting an overall affirmative picture of the vaccine in the networks’ Instagram coverage.
https://aisel.aisnet.org/hicss-57/hc/social_media/6