Clickbait or conspiracy? How Twitter users address the epistemic uncertainty of a controversial preprint
Bibliographic Data
| ID | 5260445 |
|---|---|
| Authors | Mareike Bauer (0000-0002-0047-1385), Maximilian Heimstädt (0000-0003-2786-8187, Bielefeld University, corresponding author), Carlos Franzreb (0000-0002-1188-7861, German Research Centre for Artificial Intelligence), Sonja Schimmler (0000-0002-8786-7250, Fraunhofer Institute for Open Communication Systems) |
| Year | 2023 |
| Volume | 10 |
| Issue | 2 |
| Publication date | 2023-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20539517231180575 |
| OpenAlex | W4387030937 |
| Language | EN |
| Citations received | 1 |
| References cited | 34 |
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
Epistemology · Media studies · Narrative · Political science · Preprint · Skepticism · Social media · Sociology · World Wide Web · Academic Publishing and Open Access · Computer Science · Law · Misinformation and Its Impacts · Social Media in Health Education
Reassembling Scholarly Communications
The Sage Handbook of Qualitative Data Analysis
The evolving role of preprints in the dissemination of Covid-19 research and their impact on the science communication landscape
Measuring User Influence in Twitter
Communicating Scientific Uncertainty in an Age of Covid-19
An altmetric attention advantage for open access books in the humanities and social sciences
Contesting epistemic authority
Conspiracy Theories
Credit, time, and personality
The changing public sphere on Twitter
Researching far right groups on Twitter
Conspiracy Theories
A Guide to Paradigmatic Self-Marginalization
Automating the Horae
From Manuscript Evaluation to Article Valuation
Too special to be duped
Acting in an uncertain world
Diving in magma
Re-integrating scholarly infrastructure
Quali-quantitative methods beyond networks
Caution
Identifying and characterizing scientific authority-related misinformation discourse about hydroxychloroquine on twitter using unsupervised machine learning
Going viral
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |