Original paper
Toward an Aggregate, Implicit, and Dynamic Model of Norm Formation: Capturing Large-Scale Media Representations of Dynamic Descriptive Norms Through Automated and Crowdsourced Content Analysis
Abstract
Media content can shape people’s descriptive norm perceptions by presenting either population-level prevalence information or descriptions of individuals’ behaviors. Supervised machine learning and crowdsourcing can be combined to answer new, theoretical questions about the ways in which normative perceptions form and evolve through repeated, incidental exposure to normative mentions emanating from the media environment. Applying these methods,...
Paper Details
Title
Toward an Aggregate, Implicit, and Dynamic Model of Norm Formation: Capturing Large-Scale Media Representations of Dynamic Descriptive Norms Through Automated and Crowdsourced Content Analysis
Published Date
Dec 1, 2019
Journal
Volume
69
Issue
6
Pages
563 - 588
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Notes
History