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.

Liu, Jiaying; Siegel, Leeann; Gibson, Laura A; Kim, Yoonsang; Binns, Steven; Emery, Sherry; Hornik, Robert C

Liu, Jiaying; Siegel, Leeann; Gibson, Laura A; Kim, Yoonsang; Binns, Steven; Emery, Sherry; Hornik, Robert C.

Affiliation

Liu J; Department of Communication Studies, University of Georgia, Athens, GA 30602, USA.
Siegel L; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA.
Gibson LA; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA.
Kim Y; Perelman School of Medicine, University of Penns ylvania, Philadelphia, PA 19104, USA.
Binns S; Social Data Collaboratory, NORC at the University of Chicago, Chicago, IL 60603, USA.
Emery S; Social Data Collaboratory, NORC at the University of Chicago, Chicago, IL 60603, USA.
Hornik RC; Social Data Collaboratory, NORC at the University of Chicago, Chicago, IL 60603, USA.

J Commun ; 69(6): 563-588, 2019 Dec.

Article de En | MEDLINE | ID: mdl-31956275

Mots clés

Content Analysis; Crowdsourced Coding; Descriptive Social Norms; E-cigarettes; Smoking; Supervised Machine Learning; Tobacco

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Risk_factors_studies Langue: En Journal: J Commun Année: 2019 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

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