Information Deprivation and Democratic Engagement

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

There remains no consensus among social scientists as to how to measure and understand forms of information deprivation such as misinformation. Machine learning and statistical analyses of information deprivation typically contain problematic operationalizations which are too often biased towards epistemic elites’ conceptions that can undermine their empirical adequacy. A mature science of information deprivation should include considerable citizen involvement that is sensitive to the value-ladenness of information quality, and doing so may improve the predictive and explanatory power of extant models.
Original languageEnglish
Pages (from-to)1110-1119
Number of pages10
JournalPhilosophy of Science
Volume90
Issue number5
Early online date16 Feb 2023
DOIs
Publication statusPublished - Dec 2023

Bibliographical note

Acknowledgments:
I thank the following for helpful feedback on previous drafts: Boaz Miller, Emery Neufeld, Michael E. Miller, Mark Peacock, and two anonymous referees. All errors and infelicities are mine alone.

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