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Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study

机译:人类乳头瘤病毒疫苗在社交媒体上的暴露与否定表达之间的关联:一项观察性研究

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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<.001).Conclusions: The heterogeneous community structure on Twitter appears to skew the information to which users are exposed in relation to HPV vaccines. We found that among users that tweeted about HPV vaccines, those who were more often exposed to negative opinions were more likely to subsequently post negative opinions. Although this research may be useful for identifying individuals and groups currently at risk of disproportionate exposure to misinformation about HPV vaccines, there is a clear need for studies capable of determining the factors that affect the formation and adoption of beliefs about public health interventions.
机译:背景:试图对公众对疫苗的安全性和价值产生负面影响的团体和个人活跃于在线和社交媒体上,并可能影响某些社区内的决策。目的:我们试图衡量是否对人乳头瘤病毒(通过明确衡量Twitter社区的社会结构中潜在的信息暴露程度,Twitter社区中的HPV疫苗与负面意见的后续表达相关联。方法:我们假设先前暴露于拒绝HPV疫苗安全性或价值的意见会与通过分析在Twitter上发布的消息的时间顺序(推文),增加发表类似观点并测试该假设的风险。该研究设计是对与HPV疫苗相关的推文以及使用者之间的社交关系的回顾性分析。在2013年10月至2014年4月之间,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在30,621位发布或转发这些推文中的957,865个社交联系。使用先前在人工标记的样本上训练过的机器学习分类器,推文被分类为表达负面或中立/正面的意见。结果:在6个月内,有25.13%(20,994 / 83,551)的推文被分类为负面;在30,621位使用HPV疫苗发布推文的用户中,有9046位(占29.54%)暴露于大多数负面推文中。用户接触到大多数负面意见后发布负面推文的可能性为37.78%(2780/7361),而接触过大多数正面和中性推文对应于用户的用户的10.92%(1234 / 11,296)相对风险为3.46(95%CI 3.25-3.67,P <.001)。结论:Twitter上的异构社区结构似乎使用户接触到的有关HPV疫苗的信息失真。我们发现,在发过有关HPV疫苗的推文的用户中,那些经常遭受负面意见的用户随后更有可能发表负面意见。尽管这项研究可能有助于确定当前面临不成比例地暴露于有关HPV疫苗的错误信息的风险的个人和群体,但显然需要进行能够确定影响对公共卫生干预措施的形成和采用的因素的研究。

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