Characterizing Responses to COVID-19 Vaccine Promotion on TikTok

Author:

Southwick Lauren12ORCID,Francisco Ashley3,Bradley Megan12ORCID,Klinger Elissa12,Chandra Guntuku Sharath134

Affiliation:

1. Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, USA

2. Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, USA

3. Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA

4. Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

Abstract

Purpose The Alabama Department of Public Health (ADPH) sponsored a TikTok contest to improve vaccination rates among young people. This analysis sought to advance understanding of COVID-19 vaccine perceptions among ADPH contestants and TikTok commenters. Approach This exploratory content analysis characterized sentiment and imagery in the TikTok videos and comments. Videos were coded by two reviewers and engagement metrics were collected for each video. Setting Publicly available TikTok videos entered into ADPH’s contest with the hashtags #getvaccinatedAL and #ADPH between July 16 – August 6, 2021. Participants ADPH contestants (n = 44) and TikTok comments (n = 502). Method A content analysis was conducted; videos were coded by two reviewers and engagement metrics was collected for each video (e.g., reason for vaccination, content, type of vaccination received). Video comments were analyzed using VADER, a lexicon and rule-based sentiment analysis tool). Results Of 44 videos tagged with #getvaccinatedAL and #ADPH, 37 were related to the contest. Of the 37 videos, most cited family/friends and civic duty as their reason to get the COVID-19 vaccine. Videos were shared an average of 9 times and viewed 977 times. 70% of videos had comments, ranging from 0-61 (mean 44). Words used most in positively coded comments included, “beautiful,” “smiling face emoji with 3 hearts,” “masks,” and “good.;” whereas words used most in negatively coded comments included “baby,” “me,” “chips,” and “cold.” Conclusion Understanding COVID-19 vaccine sentiment expressed on social media platforms like TikTok can be a powerful tool and resource for public health messaging.

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health,Health (social science)

Reference27 articles.

1. Maintaining Safety with SARS-CoV-2 Vaccines

2. Center for Disease Control and Prevention. Different COVID-19 Vaccines, https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines.html. (2021, Accessed August 31, 2021).

3. Kaiser Family Foundation. Latest Data on COVID-19 Vaccinations by Race/Ethnicity, https://www.kff.org/coronavirus-covid-19/issue-brief/latest-data-on-covid-19-vaccinations-race-ethnicity/ (2021, Accessed August 25, 2021).

4. American Academy of Pediatrics, Analysis of Data Posted by the Centers for Disease Children and COVID-19 Vaccinations Trends, https://www.aap.org/en/pages/2019-novel-coronavirus-covid-19-infections/children-and-covid-19-vaccination-trends/ (2021, Accessed August 20, 2021).

5. Available COVID-19 data by U.S. state, https://github.com/owid/covid-19-data/blob/master/public/data/vaccinations/us_state_vaccinations.csv August 15, 2022).

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