Literature DB >> 33517844

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

Krzysztof Klimiuk1, Agnieszka Czoska2, Karolina Biernacka1, Łukasz Balwicki3.   

Abstract

Introduction: Vaccinations are referred to as one of the greatest achievements of modern medicine. However, their effectiveness is also constantly denied by certain groups in society. This results in an ongoing dispute that has been gradually moving online in the last few years due to the development of technology. Our study aimed to utilize social media to identify and analyze vaccine-deniers' arguments against child vaccinations.Method: All public comments posted to a leading Polish vaccination opponents' Facebook page posted between 01/05/2019 and 31/07/2019 were collected and analyzed quantitatively in terms of their content according to the modified method developed by Kata (Kata, 2010). Sentiment analysis was also performed.
Results: Out of 18,685 comments analyzed, 4,042 contained content covered by the adopted criteria: conspiracy theories (28.2%), misinformation and unreliable premises (19.9%), content related to the safety and effectiveness of vaccinations (14.0%), noncompliance with civil rights (13.2%), own experience (10.9%), morality, religion, and belief (8.5%), and alternative medicine (5.4%). There were also 1,223 pro-vaccine comments, of which 15.2% were offensive, mocking, or non-substantive. Sentiment analysis showed that comments without any arguments as well as those containing statements about alternative medicine or misinformation were more positive and less angry than comments in other topic categories.Conclusions: The large amount of content in the conspiracy theory and misinformation categories may indicate that authors of such comments may be characterized by a lack of trust in the scientific achievements of medicine. These findings should be adequately addressed in vaccination campaigns.

Entities:  

Keywords:  Anti-vaccination movement; misinformation; sentiment analysis; social media; vaccination refusal

Year:  2021        PMID: 33517844      PMCID: PMC8189052          DOI: 10.1080/21645515.2020.1850072

Source DB:  PubMed          Journal:  Hum Vaccin Immunother        ISSN: 2164-5515            Impact factor:   3.452


  19 in total

Review 1.  Understanding those who do not understand: a brief review of the anti-vaccine movement.

Authors:  G A Poland; R M Jacobson
Journal:  Vaccine       Date:  2001-03-21       Impact factor: 3.641

2.  Vaccination policies for health-care workers in acute health-care facilities in Europe.

Authors:  Helena C Maltezou; Sabine Wicker; Michael Borg; Ulrich Heininger; Vincenzo Puro; Maria Theodoridou; Gregory A Poland
Journal:  Vaccine       Date:  2011-09-29       Impact factor: 3.641

3.  Opening the mind to close it: considering a message in light of important values increases message processing and later resistance to change.

Authors:  Kevin L Blankenship; Duane T Wegener
Journal:  J Pers Soc Psychol       Date:  2008-02

4.  A postmodern Pandora's box: anti-vaccination misinformation on the Internet.

Authors:  Anna Kata
Journal:  Vaccine       Date:  2009-12-30       Impact factor: 3.641

5.  Ethical Issues in Social Media Research for Public Health.

Authors:  Ruth F Hunter; Aisling Gough; Niamh O'Kane; Gary McKeown; Aine Fitzpatrick; Tom Walker; Michelle McKinley; Mandy Lee; Frank Kee
Journal:  Am J Public Health       Date:  2018-01-18       Impact factor: 9.308

6.  A comparison of language use in pro- and anti-vaccination comments in response to a high profile Facebook post.

Authors:  Kate Faasse; Casey J Chatman; Leslie R Martin
Journal:  Vaccine       Date:  2016-10-20       Impact factor: 3.641

Review 7.  What the world's religions teach, applied to vaccines and immune globulins.

Authors:  John D Grabenstein
Journal:  Vaccine       Date:  2013-02-26       Impact factor: 3.641

Review 8.  Barriers of Influenza Vaccination Intention and Behavior - A Systematic Review of Influenza Vaccine Hesitancy, 2005 - 2016.

Authors:  Philipp Schmid; Dorothee Rauber; Cornelia Betsch; Gianni Lidolt; Marie-Luisa Denker
Journal:  PLoS One       Date:  2017-01-26       Impact factor: 3.240

9.  The economic value of vaccination: why prevention is wealth.

Authors:  Vanessa Rémy; Nathalie Largeron; Sibilia Quilici; Stuart Carroll
Journal:  J Mark Access Health Policy       Date:  2015-08-12

10.  Comparing the quality of pro- and anti-vaccination online information: a content analysis of vaccination-related webpages.

Authors:  Gabriele Sak; Nicola Diviani; Ahmed Allam; Peter J Schulz
Journal:  BMC Public Health       Date:  2016-01-15       Impact factor: 3.295

View more
  7 in total

1.  Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature.

Authors:  Fidelia Cascini; Ana Pantovic; Yazan A Al-Ajlouni; Giovanna Failla; Valeria Puleo; Andriy Melnyk; Alberto Lontano; Walter Ricciardi
Journal:  EClinicalMedicine       Date:  2022-05-20

2.  Medics as a Positive Deviant in Influenza Vaccination: The Role of Vaccine Beliefs, Self-Efficacy and Contextual Variables.

Authors:  Dorota Włodarczyk; Urszula Ziętalewicz
Journal:  Vaccines (Basel)       Date:  2022-05-05

3.  Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.

Authors:  Andrzej Jarynowski; Alexander Semenov; Mikołaj Kamiński; Vitaly Belik
Journal:  J Med Internet Res       Date:  2021-11-29       Impact factor: 5.428

Review 4.  Infodemic and fake news - A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review.

Authors:  Vimala Balakrishnan; Wei Zhen Ng; Mun Chong Soo; Gan Joo Han; Choon Jiat Lee
Journal:  Int J Disaster Risk Reduct       Date:  2022-07-01       Impact factor: 4.842

5.  Attitudes toward COVID-19 Vaccination on Social Media: A Cross-Platform Analysis.

Authors:  Dominik Wawrzuta; Justyna Klejdysz; Mariusz Jaworski; Joanna Gotlib; Mariusz Panczyk
Journal:  Vaccines (Basel)       Date:  2022-07-27

6.  Text Mining Approaches to Analyze Public Sentiment Changes Regarding COVID-19 Vaccines on Social Media in Korea.

Authors:  Jae-Geum Shim; Kyoung-Ho Ryu; Sung Hyun Lee; Eun-Ah Cho; Yoon Ju Lee; Jin Hee Ahn
Journal:  Int J Environ Res Public Health       Date:  2021-06-18       Impact factor: 3.390

7.  Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations.

Authors:  Tamar Ginossar; Iain J Cruickshank; Elena Zheleva; Jason Sulskis; Tanya Berger-Wolf
Journal:  Hum Vaccin Immunother       Date:  2022-01-21       Impact factor: 3.452

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.