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The Spread and Mutation of Science Misinformation

机译:科学错误信息的传播和变异

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As the media environment has shifted towards digitization, we have seen the roles of creating, curating and correcting information shift from professional 'gatekeeper' journalists to a broader media industry and the general public. This shift has led to the spread of misinformation. Though political 'fake news' is currently a popular area of study, this study investigates another related phenomenon: science misinformation. Consistent exposure to science misinformation has been shown to cultivate false beliefs about risks, causes and prevalence of illnesses and disincentivize the public from implementing healthy lifestyle changes. Despite the need for more research, science misinformation dissemination studies arc scarce. Through a case study that traces the spread of information about one specific article through hyperlink citations, this study adds valuable insights into the inner workings of media networks, conceptualizations of misinformation spread and methodological approaches to multi-platform misinformation tracing. The case study illustrates the over-reliance of media sources on secondary information and the novel phenomenon of constantly mutating online content. The original misinformant is able to remove misleading information, and as a result, all of the subsequent articles end up referencing misinformation to a source that no longer exists. This ability to update content online breaks the information flow process: news stories no longer represent a snapshot in time but instead living, mutating organisms, making any study of media networks increasingly complex.
机译:随着媒体环境向数字化的转变,我们已经看到了创建,管理和纠正信息的角色已从专业的“看门人”记者转变为更广泛的媒体行业和公众。这种转变导致了错误信息的传播。尽管政治“假新闻”目前是一个热门研究领域,但该研究调查了另一个相关现象:科学错误信息。始终如一地暴露于科学错误信息已被证明可以养成对疾病的风险,原因和患病率的错误观念,并阻碍公众进行健康的生活方式改变。尽管需要更多的研究,但科学错误信息传播研究却很少。通过一个案例研究,该案例通过超链接引文追踪有关某一特定文章的信息传播,这项研究为媒体网络的内部运作,错误信息传播的概念化以及多平台错误信息追踪的方法学方法提供了宝贵的见解。案例研究说明了媒体资源对辅助信息的过度依赖以及不断改变在线内容的新颖现象。原始的错误通知者能够删除误导性信息,因此,所有后续文章最终都将错误信息引用为不再存在的来源。这种在线更新内容的能力打破了信息流的过程:新闻故事不再代表时间的快照,而是生活,变异的有机体,对媒体网络的任何研究都变得越来越复杂。

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