Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study
Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study
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DOI：
10.2196/jmir.4343
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发表时间：
2015-06-01
影响因子：
7.4
通讯作者：
Coiera, Enrico
中科院分区：
文献类型：
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作者：
Dunn, Adam G.;Leask, Julie;Coiera, Enrico
背景资料：试图对疫苗接种的安全性和价值产生负面影响的团体和个人活跃在网络和社交媒体上，并可能影响一些社区的决策。目的：我们试图测量是否暴露于对人乳头瘤病毒（HPV）的负面意见，Twitter社区中的疫苗与随后的负面意见表达有关，通过明确测量潜在的信息暴露，Twitter社区的社会结构。方法：我们假设，以前暴露于拒绝HPV疫苗的安全性或价值的意见将与张贴类似的意见，并通过分析时间序列的Twitter上发布的消息（推文）的风险增加，并测试这一假设。研究设计是对与HPV疫苗相关的推文以及用户之间的社会联系进行回顾性分析。在2013年10月至2014年4月期间，我们收集了83，551条英语推文，其中包括与HPV疫苗相关的术语，以及30，621名发布或转发推文的用户中的957，865个社交联系。使用先前在手动标记样本上训练的机器学习分类器将推文分类为表达负面或中立/积极意见。（20，994/83，551）的推文被归类为负面;在30，621名关于HPV疫苗的推文用户中，9046人（29.54%）接触到了大多数负面推文。用户在暴露于大多数负面意见后发布负面推文的可能性为37.78%（2780/7361），而暴露于大多数正面和中性推文的用户为10.92%（1234/11,296），对应的相对风险为3.46（95%CI 3.25-3.67，P
Background: Groups and individuals that seek to negatively influence public opinion about the safety and value of vaccination are active in online and social media and may influence decision making within some communities.Objective: We sought to measure whether exposure to negative opinions about human papillomavirus (HPV) vaccines in Twitter communities is associated with the subsequent expression of negative opinions by explicitly measuring potential information exposure over the social structure of Twitter communities.Methods: We hypothesized that prior exposure to opinions rejecting the safety or value of HPV vaccines would be associated with an increased risk of posting similar opinions and tested this hypothesis by analyzing temporal sequences of messages posted on Twitter (tweets). The study design was a retrospective analysis of tweets related to HPV vaccines and the social connections between users. Between October 2013 and April 2014, we collected 83,551 English-language tweets that included terms related to HPV vaccines and the 957,865 social connections among 30,621 users posting or reposting the tweets. Tweets were classified as expressing negative or neutral/positive opinions using a machine learning classifier previously trained on a manually labeled sample.Results: During the 6-month period, 25.13% (20,994/83,551) of tweets were classified as negative; among the 30,621 users that tweeted about HPV vaccines, 9046 (29.54%) were exposed to a majority of negative tweets. The likelihood of a user posting a negative tweet after exposure to a majority of negative opinions was 37.78% (2780/7361) compared to 10.92% (1234/11,296) for users who were exposed to a majority of positive and neutral tweets corresponding to a relative risk of 3.46 (95% CI 3.25-3.67, P