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Instrumenting the Online Information Environment

Bibliographic Data

ID9747656
AuthorsJacob N Shapiro (0000-0002-7484-229X, corresponding author)
Year2024
Volume715
Issue1
Pages38-59
Publication date2024-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Annals of the American Academy of Political and Social Science (JOURNAL)
Journal identifiersISSN: 0002-7162 • E-ISSN: 1552-3349
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00027162251397820
OpenAlexW4417316638
LanguageEN
References cited40

Large-scale, centrally funded measurement systems on the economy, education, the environment, and public health enable rapid scientific research and support robust policy feedback. They provide frameworks for assessing policy effectiveness, flagging emerging problems, and informing planning processes. The online information environment—a critical domain of human interaction—has not yet been similarly instrumented. This article first reviews key measurements in other domains and outlines why existing tools for studying online environments are insufficient. It then lays out the consequences of the measurement gap, identifies key data-collection tasks, discusses the scale of resources required to meet them, and addresses the implications of generative AI for the instrumentation task. I argue that modest but strategic investments in scaled measurement infrastructure could unlock transformative research capabilities and facilitate an evidence-driven approach to policymaking that could improve how we govern online spaces

Domain (mathematical analysis · Flagging · Information system · Instrumentation (computer programming · Key (lock · Public domain · Scale (ratio · Transformative learning · Ethics and Social Impacts of AI · Innovative Human-Technology Interaction · Smart Cities and Technologies

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