Nature and Diffusion of Gynecologic Cancer-Related Misinformation on Social Media: Analysis of Tweets

被引:80
作者
Chen, Liang [1 ]
Wang, Xiaohui [2 ]
Peng, Tai-Quan [3 ]
机构
[1] Sun Yat Sen Univ, Sch Commun & Design, Lab Big Data & Publ Commun, Guangzhou, Guangdong, Peoples R China
[2] Hong Kong Baptist Univ, Sch Commun, Dept Journalism, Hong Kong, Hong Kong, Peoples R China
[3] Michigan State Univ, Dept Commun, 404 Wilson Rd,Room 473, E Lansing, MI 48824 USA
关键词
social media; breast cancer; cervical cancer; misinformation; diffusion; China; HEALTH INFORMATION; TWITTER; SUPPORT; CHINA;
D O I
10.2196/11515
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页数:11
相关论文
共 43 条
[1]   Social Media and Fake News in the 2016 Election [J].
Allcott, Hunt ;
Gentzkow, Matthew .
JOURNAL OF ECONOMIC PERSPECTIVES, 2017, 31 (02) :211-235
[2]  
Anderson J., 2017, FUTURE TRUTH MISINFO
[3]  
[Anonymous], 2002, NAT CANC CONTR PROGR, V2nd
[4]   Chronic illness and health-seeking information on the Internet [J].
Ayers, Stephanie L. ;
Kronenfeld, Jennie Jacobs .
HEALTH, 2007, 11 (03) :327-347
[5]   Faces Engage Us: Photos with Faces Attract More Likes and Comments on Instagram [J].
Bakhshi, Saeideh ;
Shamma, David A. ;
Gilbert, Eric .
32ND ANNUAL ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2014), 2014, :965-974
[6]   Gender Differences in Searching for Health Information on the Internet and the Virtual Patient-Physician Relationship in Germany: Exploratory Results on How Men and Women Differ and Why [J].
Bidmon, Sonja ;
Terlutter, Ralf .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2015, 17 (06) :e156
[7]   See Something, Say Something: Correction of Global Health Misinformation on Social Media [J].
Bode, Leticia ;
Vraga, Emily K. .
HEALTH COMMUNICATION, 2018, 33 (09) :1131-1140
[8]  
Chen L, 2015, INT J COMMUN-US, V9, P2161
[9]  
Chen W Q, 2018, Zhonghua Zhong Liu Za Zhi, V40, P5, DOI 10.3760/cma.j.issn.0253-3766.2018.01.002
[10]   Cancer Statistics in China, 2015 [J].
Chen, Wanqing ;
Zheng, Rongshou ;
Baade, Peter D. ;
Zhang, Siwei ;
Zeng, Hongmei ;
Bray, Freddie ;
Jemal, Ahmedin ;
Yu, Xue Qin ;
He, Jie .
CA-A CANCER JOURNAL FOR CLINICIANS, 2016, 66 (02) :115-132