Cargando…
Assertions of Japanese Websites for and Against Cancer Screening: a Text Mining Analysis
BACKGROUND: Cancer screening rates are lower in Japan than in Western countries such as the United States and the United Kingdom. While health professionals publish pro-cancer-screening messages online to encourage proactive seeking for screening, anti-screening activists use the same medium to warn...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
West Asia Organization for Cancer Prevention
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494218/ https://www.ncbi.nlm.nih.gov/pubmed/28547943 http://dx.doi.org/10.22034/APJCP.2017.18.4.1069 |
_version_ | 1783247639974772736 |
---|---|
author | Okuhara, Tsuyoshi Ishikawa, Hirono Okada, Masahumi Kato, Mio Kiuchi, Takahiro |
author_facet | Okuhara, Tsuyoshi Ishikawa, Hirono Okada, Masahumi Kato, Mio Kiuchi, Takahiro |
author_sort | Okuhara, Tsuyoshi |
collection | PubMed |
description | BACKGROUND: Cancer screening rates are lower in Japan than in Western countries such as the United States and the United Kingdom. While health professionals publish pro-cancer-screening messages online to encourage proactive seeking for screening, anti-screening activists use the same medium to warn readers against following guidelines. Contents of pro- and anti-cancer-screening sites may contribute to readers’ acceptance of one or the other position. We aimed to use a text-mining method to examine frequently appearing contents on sites for and against cancer screening. METHODS: We conducted online searches in December 2016 using two major search engines in Japan (Google Japan and Yahoo! Japan). Targeted websites were classified as “pro”, “anti”, or “neutral” depending on their claims, with the author(s) classified as “health professional”, “mass media”, or “layperson”. Text-mining analyses were conducted, and statistical analysis was performed using the chi-square test. RESULTS: Of the 169 websites analyzed, the top-three most frequently appearing content topics in pro sites were reducing mortality via cancer screening, benefits of early detection, and recommendations for obtaining detailed examination. The top three most frequent in anti-sites were harm from radiation exposure, non-efficacy of cancer screening, and lack of necessity of early detection. Anti-sites also frequently referred to a well-known Japanese radiologist, Makoto Kondo, who rejects the standard forms of cancer care. CONCLUSION: Our findings should enable authors of pro-cancer-screening sites to write to counter misleading anti-cancer-screening messages and facilitate dissemination of accurate information. |
format | Online Article Text |
id | pubmed-5494218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | West Asia Organization for Cancer Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-54942182017-08-28 Assertions of Japanese Websites for and Against Cancer Screening: a Text Mining Analysis Okuhara, Tsuyoshi Ishikawa, Hirono Okada, Masahumi Kato, Mio Kiuchi, Takahiro Asian Pac J Cancer Prev Research Article BACKGROUND: Cancer screening rates are lower in Japan than in Western countries such as the United States and the United Kingdom. While health professionals publish pro-cancer-screening messages online to encourage proactive seeking for screening, anti-screening activists use the same medium to warn readers against following guidelines. Contents of pro- and anti-cancer-screening sites may contribute to readers’ acceptance of one or the other position. We aimed to use a text-mining method to examine frequently appearing contents on sites for and against cancer screening. METHODS: We conducted online searches in December 2016 using two major search engines in Japan (Google Japan and Yahoo! Japan). Targeted websites were classified as “pro”, “anti”, or “neutral” depending on their claims, with the author(s) classified as “health professional”, “mass media”, or “layperson”. Text-mining analyses were conducted, and statistical analysis was performed using the chi-square test. RESULTS: Of the 169 websites analyzed, the top-three most frequently appearing content topics in pro sites were reducing mortality via cancer screening, benefits of early detection, and recommendations for obtaining detailed examination. The top three most frequent in anti-sites were harm from radiation exposure, non-efficacy of cancer screening, and lack of necessity of early detection. Anti-sites also frequently referred to a well-known Japanese radiologist, Makoto Kondo, who rejects the standard forms of cancer care. CONCLUSION: Our findings should enable authors of pro-cancer-screening sites to write to counter misleading anti-cancer-screening messages and facilitate dissemination of accurate information. West Asia Organization for Cancer Prevention 2017 /pmc/articles/PMC5494218/ /pubmed/28547943 http://dx.doi.org/10.22034/APJCP.2017.18.4.1069 Text en Copyright: © Asian Pacific Journal of Cancer Prevention http://creativecommons.org/licenses/BY-SA/4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License |
spellingShingle | Research Article Okuhara, Tsuyoshi Ishikawa, Hirono Okada, Masahumi Kato, Mio Kiuchi, Takahiro Assertions of Japanese Websites for and Against Cancer Screening: a Text Mining Analysis |
title | Assertions of Japanese Websites for and Against Cancer Screening: a Text Mining Analysis |
title_full | Assertions of Japanese Websites for and Against Cancer Screening: a Text Mining Analysis |
title_fullStr | Assertions of Japanese Websites for and Against Cancer Screening: a Text Mining Analysis |
title_full_unstemmed | Assertions of Japanese Websites for and Against Cancer Screening: a Text Mining Analysis |
title_short | Assertions of Japanese Websites for and Against Cancer Screening: a Text Mining Analysis |
title_sort | assertions of japanese websites for and against cancer screening: a text mining analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494218/ https://www.ncbi.nlm.nih.gov/pubmed/28547943 http://dx.doi.org/10.22034/APJCP.2017.18.4.1069 |
work_keys_str_mv | AT okuharatsuyoshi assertionsofjapanesewebsitesforandagainstcancerscreeningatextmininganalysis AT ishikawahirono assertionsofjapanesewebsitesforandagainstcancerscreeningatextmininganalysis AT okadamasahumi assertionsofjapanesewebsitesforandagainstcancerscreeningatextmininganalysis AT katomio assertionsofjapanesewebsitesforandagainstcancerscreeningatextmininganalysis AT kiuchitakahiro assertionsofjapanesewebsitesforandagainstcancerscreeningatextmininganalysis |