Defining and Measuring Scientific Misinformation

dc.contributor.author

Southwell, BG

dc.contributor.author

Brennen, JSB

dc.contributor.author

Paquin, R

dc.contributor.author

Boudewyns, V

dc.contributor.author

Zeng, J

dc.date.accessioned

2022-06-01T14:01:50Z

dc.date.available

2022-06-01T14:01:50Z

dc.date.issued

2022-03

dc.date.updated

2022-06-01T14:01:49Z

dc.description.abstract

<jats:p> We define scientific misinformation as publicly available information that is misleading or deceptive relative to the best available scientific evidence and that runs contrary to statements by actors or institutions who adhere to scientific principles. Scientific misinformation violates the supposition that claims should be based on scientific evidence and relevant expertise. As such, misinformation is observable and measurable, but research on scientific misinformation to date has often missed opportunities to clearly articulate units of analysis, to consult with experts, and to look beyond convenient sources of misinformation such as social media content. We outline the ways in which scientific misinformation can be thought of as a disorder of public science, identify its specific types and the ways in which it can be measured, and argue that researchers and public actors should do more to connect measurements of misinformation with measurements of effect. </jats:p>

dc.identifier.issn

0002-7162

dc.identifier.issn

1552-3349

dc.identifier.uri

https://hdl.handle.net/10161/25073

dc.language

en

dc.publisher

SAGE Publications

dc.relation.ispartof

The ANNALS of the American Academy of Political and Social Science

dc.relation.isversionof

10.1177/00027162221084709

dc.subject

measurement

dc.subject

inaccurate claims

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public science

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mass media

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social media

dc.title

Defining and Measuring Scientific Misinformation

dc.type

Journal article

duke.contributor.orcid

Southwell, BG|0000-0001-5091-8782

pubs.begin-page

98

pubs.end-page

111

pubs.issue

1

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

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Clinical Science Departments

pubs.organisational-group

Medicine

pubs.organisational-group

Medicine, General Internal Medicine

pubs.publication-status

Published

pubs.volume

700

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