Literature DB >> 29031425

Contents of Japanese pro- and anti-HPV vaccination websites: A text mining analysis.

Tsuyoshi Okuhara1, Hirono Ishikawa2, Masahumi Okada3, Mio Kato4, Takahiro Kiuchi5.   

Abstract

OBJECTIVE: In Japan, the human papillomavirus (HPV) vaccination rate has sharply fallen to nearly 0% due to sensational media reports of adverse events. Online anti-HPV-vaccination activists often warn readers of the vaccine's dangers. Here, we aimed to examine frequently appearing contents on pro- and anti-HPV vaccination websites.
METHODS: We conducted online searches via two major search engines (Google Japan and Yahoo! Japan). Targeted websites were classified as "pro," "anti," or "neutral" according to their claims, with the author(s) classified as "health professionals," "mass media," or "laypersons." We then conducted a text mining analysis.
RESULTS: Of the 270 sites analyzed, 16 contents were identified. The most frequently appearing contents on pro websites were vaccine side effects, preventable effect of vaccination, and cause of cervical cancer. The most frequently appearing contents on anti websites were vaccine side effects, vaccine toxicity, and girls who suffer from vaccine side effects. Main disseminators of each content according to the author's expertise were also revealed.
CONCLUSION: Pro-HPV vaccination websites should supplement deficient contents and respond to frequent contents on anti-HPV websites. PRACTICE IMPLICATIONS: Effective tactics are needed to better communicate susceptibility to cervical cancer, frequency of side effects, and responses to vaccine toxicity and conspiracy theories.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anti-vaccination movement; Content analysis; HPV vaccine; Human papillomavirus vaccine; Internet; Online information; Text mining

Mesh:

Substances:

Year:  2017        PMID: 29031425     DOI: 10.1016/j.pec.2017.09.014

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  13 in total

1.  Persuasiveness of Statistics and Patients' and Mothers' Narratives in Human Papillomavirus Vaccine Recommendation Messages: A Randomized Controlled Study in Japan.

Authors:  Tsuyoshi Okuhara; Hirono Ishikawa; Masafumi Okada; Mio Kato; Takahiro Kiuchi
Journal:  Front Public Health       Date:  2018-04-12

Review 2.  Factors affecting the quality and reliability of online health information.

Authors:  Gopi Battineni; Simone Baldoni; Nalini Chintalapudi; Getu Gamo Sagaro; Graziano Pallotta; Giulio Nittari; Francesco Amenta
Journal:  Digit Health       Date:  2020-08-30

3.  Examining Long-Term Effects of Human Papillomavirus Vaccine Recommendation Messages: A 4-Month Follow-Up Survey of a Randomized Controlled Study in Japan.

Authors:  Tsuyoshi Okuhara; Hirono Ishikawa; Haruka Ueno; Hiroko Okada; Takahiro Kiuchi
Journal:  Healthcare (Basel)       Date:  2020-12-10

4.  Urgent need for writing education in schools of medicine and public health to address vaccine hesitancy.

Authors:  Tsuyoshi Okuhara; Hiroko Okada; Eiko Goto; Takahiro Kiuchi
Journal:  Int J Med Educ       Date:  2021-09-27

5.  Encouraging COVID-19 vaccination via an evolutionary theoretical approach: A randomized controlled study in Japan.

Authors:  Tsuyoshi Okuhara; Hiroko Okada; Eiko Goto; Aiko Tsunezumi; Yumi Kagawa; Takahiro Kiuchi
Journal:  Patient Educ Couns       Date:  2022-02-18

6.  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

7.  Lessons Learned from a Writing to Learn Program for Public Health Students at the University of Tokyo.

Authors:  Tsuyoshi Okuhara; Hiroko Okada; Takahiro Kiuchi
Journal:  J Med Educ Curric Dev       Date:  2021-07-20

Review 8.  Review: Vaccine Myth-Buster - Cleaning Up With Prejudices and Dangerous Misinformation.

Authors:  Paul Löffler
Journal:  Front Immunol       Date:  2021-06-10       Impact factor: 7.561

9.  A qualitative analysis of the beliefs of Japanese anti-influenza vaccination website authors.

Authors:  Tsuyoshi Okuhara; Hirono Ishikawa; Mio Kato; Masafumi Okada; Takahiro Kiuchi
Journal:  Heliyon       Date:  2018-04-20

10.  Characterizing News Report of the Substandard Vaccine Case of Changchun Changsheng in China: A Text Mining Approach.

Authors:  Ping Zhou; Yao He; Chao Lyu; Xiaoguang Yang
Journal:  Vaccines (Basel)       Date:  2020-11-17
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