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Characterizing Responses to COVID-19 Vaccine Promotion on TikTok.
Southwick, Lauren; Francisco, Ashley; Bradley, Megan; Klinger, Elissa; Chandra Guntuku, Sharath.
  • Southwick L; Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, USA.
  • Francisco A; Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, USA.
  • Bradley M; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA.
  • Klinger E; Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, USA.
  • Chandra Guntuku S; Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, USA.
Am J Health Promot ; 37(5): 638-645, 2023 06.
Artigo em Inglês | MEDLINE | ID: covidwho-20243186
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.
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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Mídias Sociais / COVID-19 Tipo de estudo: Pesquisa qualitativa Tópicos: Vacinas Limite: Adolescente / Humanos / Lactente País/Região como assunto: América do Norte Idioma: Inglês Revista: Am J Health Promot Assunto da revista: Saúde Pública Ano de publicação: 2023 Tipo de documento: Artigo País de afiliação: 08901171221141974

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Mídias Sociais / COVID-19 Tipo de estudo: Pesquisa qualitativa Tópicos: Vacinas Limite: Adolescente / Humanos / Lactente País/Região como assunto: América do Norte Idioma: Inglês Revista: Am J Health Promot Assunto da revista: Saúde Pública Ano de publicação: 2023 Tipo de documento: Artigo País de afiliação: 08901171221141974