Clickbait or conspiracy? How Twitter users address the epistemic uncertainty of a controversial preprint

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Big Data & Society Pub Date : 2023-07-01 DOI:10.1177/20539517231180575
Mareike Bauer, Maximilian Heimstädt, Carlos Franzreb, Sonja Schimmler
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引用次数: 1

Abstract

Many scientists share preprints on social media platforms to gain attention from academic peers, policy-makers, and journalists. In this study we shed light on an unintended but highly consequential effect of sharing preprints: Their contribution to conspiracy theories. Although the scientific community might quickly dismiss a preprint as insubstantial and ‘clickbaity’, its uncertain epistemic status nevertheless allows conspiracy theorists to mobilize the text as scientific support for their own narratives. To better understand the epistemic politics of preprints on social media platforms, we studied the case of a biomedical preprint, which was shared widely and discussed controversially on Twitter in the wake of the coronavirus disease 2019 pandemic. Using a combination of social network analysis and qualitative content analysis, we compared the structures of engagement with the preprint and the discursive practices of scientists and conspiracy theorists. We found that despite substantial engagement, scientists were unable to dampen the conspiracy theorists’ enthusiasm for the preprint. We further found that members from both groups not only tried to reduce the preprint's epistemic uncertainty but sometimes deliberately maintained it. The maintenance of epistemic uncertainty helped conspiracy theorists to reinforce their group's identity as skeptics and allowed scientists to express concerns with the state of their profession. Our study contributes to research on the intricate relations between scientific knowledge and conspiracy theories online, as well as the role of social media platforms for new genres of scholarly communication.
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标题党还是阴谋?Twitter用户如何应对有争议的预印本的认知不确定性
许多科学家在社交媒体平台上分享预印本,以获得学术同行、政策制定者和记者的关注。在这项研究中,我们揭示了共享预印本的一个意想不到但非常重要的影响:它们对阴谋论的贡献。尽管科学界可能会很快将预印本视为不实质性和“可点击性”,但其不确定的认识论地位仍然允许阴谋论者动员文本作为他们自己叙述的科学支持。为了更好地理解预印本在社交媒体平台上的认知政治,我们研究了一份生物医学预印本的案例,在2019年冠状病毒病大流行之后,该预印本在推特上被广泛分享和讨论。结合社会网络分析和定性内容分析,我们比较了科学家和阴谋论者的预印本和话语实践的参与结构。我们发现,尽管有大量的参与,科学家们还是无法抑制阴谋论者对预印本的热情。我们进一步发现,两组成员不仅试图减少预印本的认知不确定性,有时还故意保持这种不确定性。认知不确定性的维持有助于阴谋论者加强他们作为怀疑论者的身份,并允许科学家表达对其职业状况的担忧。我们的研究有助于研究科学知识与在线阴谋论之间的复杂关系,以及社交媒体平台对新型学术交流的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Big Data & Society
Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.90
自引率
10.60%
发文量
59
审稿时长
11 weeks
期刊介绍: Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.
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