Literature DB >> 31300292

Temporal trends in anti-vaccine discourse on Twitter.

Keith Gunaratne1, Eric A Coomes2, Hourmazd Haghbayan3.   

Abstract

Despite vaccination's role in preventing communicable diseases, misinformation threatens uptake. Social media may disseminate such anti-vaccination messages. We characterized trends in pro- and anti-vaccination discourse on Twitter. All tweets between 2010 and 2019 containing vaccine-related hashtags were identified. Pro- and anti-vaccine tweets and users per quarter (3-months) were tabulated; discussion subcommunities were identified with network analysis. 1,637,712 vaccine-related tweets were identified from 154 pro-vaccine and 125 anti-vaccine hashtags, with 86% of users posting exclusively pro-vaccine and 12% posting exclusively anti-vaccine hashtags. Pro-vaccine tweet volumes are larger than anti-vaccine tweets and consistently increase over time. In contrast, anti-vaccine tweet volumes have decreased since 2014, despite an increasing anti-vaccine user-base. Users infrequently responded across pro/anti-vaccine alignment (0.2%). Despite greater volumes of pro-vaccination discourse in recent years, and the anti-vaccination content userbase being smaller, the anti-vaccine community continues to grow in size. This finding coupled with the minimal inter-communication between communities suggests possible ideological isolation.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Measles; Medicine and media; Twitter; Vaccine; Vaccine hesitancy

Year:  2019        PMID: 31300292     DOI: 10.1016/j.vaccine.2019.06.086

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  32 in total

1.  Understanding Discussions of Health Issues on Twitter: A Visual Analytic Study.

Authors:  Oluwakemi Ola; Kamran Sedig
Journal:  Online J Public Health Inform       Date:  2020-05-16

Review 2.  Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases.

Authors:  Neha Puri; Eric A Coomes; Hourmazd Haghbayan; Keith Gunaratne
Journal:  Hum Vaccin Immunother       Date:  2020-07-21       Impact factor: 3.452

3.  The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model.

Authors:  Vipin Saini; Li-Lin Liang; Yu-Chen Yang; Huong Mai Le; Chun-Ying Wu
Journal:  JMIR Infodemiology       Date:  2022-06-27

4.  Aggressive behaviour of anti-vaxxers and their toxic replies in English and Japanese.

Authors:  Kunihiro Miyazaki; Takayuki Uchiba; Kenji Tanaka; Kazutoshi Sasahara
Journal:  Humanit Soc Sci Commun       Date:  2022-07-05

5.  Vaccine misinformation on social media - topic-based content and sentiment analysis of Polish vaccine-deniers' comments on Facebook.

Authors:  Krzysztof Klimiuk; Agnieszka Czoska; Karolina Biernacka; Łukasz Balwicki
Journal:  Hum Vaccin Immunother       Date:  2021-01-30       Impact factor: 3.452

6.  Analysis of the Anti-Vaccine Movement in Social Networks: A Systematic Review.

Authors:  Elvira Ortiz-Sánchez; Almudena Velando-Soriano; Laura Pradas-Hernández; Keyla Vargas-Román; Jose L Gómez-Urquiza; Guillermo A Cañadas-De la Fuente; Luis Albendín-García
Journal:  Int J Environ Res Public Health       Date:  2020-07-27       Impact factor: 3.390

7.  Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams.

Authors:  Lisa Singh; Leticia Bode; Ceren Budak; Kornraphop Kawintiranon; Colton Padden; Emily Vraga
Journal:  J Comput Soc Sci       Date:  2020-11-27

8.  Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study.

Authors:  Young Anna Argyris; Kafui Monu; Pang-Ning Tan; Colton Aarts; Fan Jiang; Kaleigh Anne Wiseley
Journal:  JMIR Public Health Surveill       Date:  2021-06-24

9.  Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events.

Authors:  Michele Miller; William Romine; Terry Oroszi
Journal:  JMIR Public Health Surveill       Date:  2021-06-18

10.  Antivaccine Movement and COVID-19 Negationism: A Content Analysis of Spanish-Written Messages on Twitter.

Authors:  Ivan Herrera-Peco; Beatriz Jiménez-Gómez; Carlos Santiago Romero Magdalena; Juan José Deudero; María García-Puente; Elvira Benítez De Gracia; Carlos Ruiz Núñez
Journal:  Vaccines (Basel)       Date:  2021-06-15
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