Differential Racism in the News: Using Semi-Supervised Machine Learning to Distinguish Explicit and Implicit Stigmatization of Ethnic and Religious Groups in Journalistic Discourse-Reference-Cited by-同舟云学术

Differential Racism in the News: Using Semi-Supervised Machine Learning to Distinguish Explicit and Implicit Stigmatization of Ethnic and Religious Groups in Journalistic Discourse

Published:2023-03-21 Issue:4 Volume:40 Page:396-414
ISSN:1058-4609
Container-title:Political Communication
language:en
Short-container-title:Political Communication

Author:

Müller Philipp¹²^ORCID,Chan Chung-Hong²³,Ludwig Katharina¹²,Freudenthaler Rainer¹²,Wessler Hartmut¹²

Affiliation:

1. Institute for Media and Communication Studies, University of Mannheim, Mannheim, Germany

2. Mannheim Center for European Social Research, University of Mannheim, Mannheim, Germany

3. Department of Computational Social Science, GESIS – Leibniz Institute for the Social Sciences, Cologne, Germany

Funder

German Federal Ministry for Family Affairs, Senior Citizens, Women and Youth

Publisher

Informa UK Limited

Subject

Sociology and Political Science,Communication

Link

https://www.tandfonline.com/doi/pdf/10.1080/10584609.2023.2193146

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5. Assessing the Effect of Media Tone on Attitudes Toward Muslims: Evidence From an Online Experiment

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