Computational Political Communication (eBook, ePUB)

Theory, Applications, and Interdisciplinary Challenges
Redaktion: Theocharis, Yannis; Jungherr, Andreas

• Format: ePub

Produktbeschreibung

This edited volume focuses on the use of Computational Communication Science (CCS) to address key questions in political communication, highlighting methodological innovations and the theoretical, practical, and institutional challenges in the field. Topics include clickbaiting, propaganda, political polarization, and media framing.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 11. November 2024
• Englisch
• ISBN-13: 9781040253786
• Artikelnr.: 72268897

Autorenporträt

Yannis Theocharis holds the Chair of Digital Governance at the Technical University of Munich. His research interests are in political behavior, political communication, harmful speech and content moderation and computational social science. He is a core member of the Munich Data Science Institute and director of the Content Moderation Lab at the TUM Think Tank. Andreas Jungherr holds the Chair for Political Science, especially Digital Transformation at the University of Bamberg's Institute for Political Science. His research explores the impact of digital media on politics and society, with a particular emphasis on algorithms, artificial intelligence, and governance. He also investigates the challenges scientific research faces in response to digital change, aiming to unlock the opportunities presented by new data sources and analytical methods. His work centres on leveraging digital methods and computational social science, while also addressing the methodological challenges of integrating these approaches into the social sciences.

Inhaltsangabe

Introduction: Computational Social Science and the Study of Political
Communication 1. Capturing Clicks: How the Chinese Government Uses
Clickbait to Compete for Visibility 2. Politicians' Self-depiction and
Their News Portrayal: Evidence from 28 Countries Using Visual Computational
Analysis 3. Facing the Electorate: Computational Approaches to the Study of
Nonverbal Communication and Voter Impression Formation 4. Political
Polarization on the Digital Sphere: A Cross-platform, Over-time Analysis of
Interactional, Positional, and Affective Polarization on Social Media 5.
Dictionaries, Supervised Learning, and Media Coverage of Public Policy 6.
Computational Identification of Media Frames: Strengths, Weaknesses, and
Opportunities 7. Advancing Interdisciplinary Work in Computational
Communication Science 8. The Trouble with Sharing Your Privates: Pursuing
Ethical Open Science and Collaborative Research across National
Jurisdictions Using Sensitive Data