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The COVID-19 pandemic has been marked by a controversy in the United States over the public health benefits of mask-wearing, especially on social media. Many have contested the scientific consensus that masks are an effective method to prevent and slow the spread of COVID-19 infections, often along explicitly political lines. Here, we investigate specifically how Twitter users engaging in arguments about mask-wearing invoke scientific principles to argue against masks. We further analyze the sources that these users cite to support their claims. Using a qualitative approach drawing from constructivist grounded theory, we show how these users work to defend the legitimacy of their claims and their external sources by selectively exploiting rhetorical values of scientific endeavour. We analogize their work to the process of scientific boundary-work, in which actors consciously manipulate the boundary between science and not-science for personal and political gain.
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Selective and deceptive citation in the construction of dueling consensuses
The COVID-19 pandemic provides a unique opportunity to study science communication and, in particular, the transmission of consensus. In this study, we show how “science communicators,” writ large to include both mainstream science journalists and practiced conspiracy theorists, transform scientific evidence into two dueling consensuses using the effectiveness of masks as a case study. We do this by compiling one of the largest, hand-coded citation datasets of cross-medium science communication, derived from 5 million Twitter posts of people discussing masks. We find that science communicators selectively uplift certain published works while denigrating others to create bodies of evidence that support and oppose masks, respectively. Anti-mask communicators in particular often use selective and deceptive quotation of scientific work and criticize opposing science more than pro-mask communicators. Our findings have implications for scientists, science communicators, and scientific publishers, whose systems of sharing (and correcting) knowledge are highly vulnerable to what we term adversarial science communication.
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- PAR ID:
- 10545564
- Publisher / Repository:
- American Association for the Advancement of Science
- Date Published:
- Journal Name:
- Science Advances
- Volume:
- 9
- Issue:
- 38
- ISSN:
- 2375-2548
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1126/sciadv.adh1933
