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Contents of Japanese pro- and anti-HPV vaccination websites: A text mining analysis
Authors:Tsuyoshi Okuhara  Hirono Ishikawa  Masahumi Okada  Mio Kato  Takahiro Kiuchi
Affiliation:Department of Health Communication, School of Public Health, The University of Tokyo, Tokyo, Japan
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.
Keywords:HPV  human papillomavirus  ELM  elaboration likelihood model  HPV vaccine  Human papillomavirus vaccine  Anti-vaccination movement  Online information  Internet  Content analysis  Text mining
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