Cargando…
Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets
BACKGROUND: Over the last two decades, the incidence and mortality rates of gynecologic cancers have increased at a constant rate in China. Gynecologic cancers have become one of the most serious threats to women’s health in China. With the widespread use of social media, an increasing number of ind...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231818/ https://www.ncbi.nlm.nih.gov/pubmed/30327289 http://dx.doi.org/10.2196/11515 |
_version_ | 1783370305913225216 |
---|---|
author | Chen, Liang Wang, Xiaohui Peng, Tai-Quan |
author_facet | Chen, Liang Wang, Xiaohui Peng, Tai-Quan |
author_sort | Chen, Liang |
collection | PubMed |
description | BACKGROUND: Over the last two decades, the incidence and mortality rates of gynecologic cancers have increased at a constant rate in China. Gynecologic cancers have become one of the most serious threats to women’s health in China. With the widespread use of social media, an increasing number of individuals have employed social media to produce, seek, and share cancer-related information. However, health information on social media is not always accurate. Health, and especially cancer-related, misinformation has been widely spread on social media, which can affect individuals’ attitudinal and behavioral responses to cancer. OBJECTIVE: The aim of this study was to examine the nature and diffusion of gynecologic cancer–related misinformation on Weibo, the Chinese equivalent of Twitter. METHODS: A total of 2691 tweets related to 2 gynecologic cancers—breast cancer and cervical cancer—posted on Weibo from June 2015 to June 2016 were extracted using the Python Web Crawler. Two medical school graduate students with expertise in gynecologic diseases were recruited to code the tweets to differentiate between true information and misinformation as well as to identify the types of falsehoods. The diffusion characteristics of gynecologic cancer–related misinformation were compared with those of the true information. RESULTS: While most of the gynecologic cancer–related tweets provided medically accurate information, approximately 30% of them were found to contain misinformation. Furthermore, it was found that tweets about cancer treatment contained a higher percentage of misinformation than prevention-related tweets. Nevertheless, the prevention-related misinformation diffused significantly more broadly and deeply than true information on social media. CONCLUSIONS: The findings of this study suggest the need for controlling and reducing the cancer-related misinformation on social media with the efforts from both service providers and medical professionals. More specifically, it is important to correct falsehoods related to the prevention of gynecologic cancers on social media and increase individuals’ capacity to assess the veracity of Web-based information to curb the spread and thus minimize the consequences of cancer-related misinformation. |
format | Online Article Text |
id | pubmed-6231818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-62318182018-12-03 Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets Chen, Liang Wang, Xiaohui Peng, Tai-Quan J Med Internet Res Original Paper BACKGROUND: Over the last two decades, the incidence and mortality rates of gynecologic cancers have increased at a constant rate in China. Gynecologic cancers have become one of the most serious threats to women’s health in China. With the widespread use of social media, an increasing number of individuals have employed social media to produce, seek, and share cancer-related information. However, health information on social media is not always accurate. Health, and especially cancer-related, misinformation has been widely spread on social media, which can affect individuals’ attitudinal and behavioral responses to cancer. OBJECTIVE: The aim of this study was to examine the nature and diffusion of gynecologic cancer–related misinformation on Weibo, the Chinese equivalent of Twitter. METHODS: A total of 2691 tweets related to 2 gynecologic cancers—breast cancer and cervical cancer—posted on Weibo from June 2015 to June 2016 were extracted using the Python Web Crawler. Two medical school graduate students with expertise in gynecologic diseases were recruited to code the tweets to differentiate between true information and misinformation as well as to identify the types of falsehoods. The diffusion characteristics of gynecologic cancer–related misinformation were compared with those of the true information. RESULTS: While most of the gynecologic cancer–related tweets provided medically accurate information, approximately 30% of them were found to contain misinformation. Furthermore, it was found that tweets about cancer treatment contained a higher percentage of misinformation than prevention-related tweets. Nevertheless, the prevention-related misinformation diffused significantly more broadly and deeply than true information on social media. CONCLUSIONS: The findings of this study suggest the need for controlling and reducing the cancer-related misinformation on social media with the efforts from both service providers and medical professionals. More specifically, it is important to correct falsehoods related to the prevention of gynecologic cancers on social media and increase individuals’ capacity to assess the veracity of Web-based information to curb the spread and thus minimize the consequences of cancer-related misinformation. JMIR Publications 2018-10-16 /pmc/articles/PMC6231818/ /pubmed/30327289 http://dx.doi.org/10.2196/11515 Text en ©Liang Chen, Xiaohui Wang, Tai-Quan Peng. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.10.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Chen, Liang Wang, Xiaohui Peng, Tai-Quan Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets |
title | Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets |
title_full | Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets |
title_fullStr | Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets |
title_full_unstemmed | Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets |
title_short | Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets |
title_sort | nature and diffusion of gynecologic cancer–related misinformation on social media: analysis of tweets |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231818/ https://www.ncbi.nlm.nih.gov/pubmed/30327289 http://dx.doi.org/10.2196/11515 |
work_keys_str_mv | AT chenliang natureanddiffusionofgynecologiccancerrelatedmisinformationonsocialmediaanalysisoftweets AT wangxiaohui natureanddiffusionofgynecologiccancerrelatedmisinformationonsocialmediaanalysisoftweets AT pengtaiquan natureanddiffusionofgynecologiccancerrelatedmisinformationonsocialmediaanalysisoftweets |