Semantic Network Analysis in Social Sciences (eBook, PDF)

Redaktion: Segev, Elad

• Format: PDF

Produktbeschreibung

Covering a variety of quantitative and qualitative methods, this book will help students and researchers in the social sciences, political science and communication studies develop their skills in network and text analysis, data science and big data analysis.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 248
• Erscheinungstermin: 29. November 2021
• Englisch
• ISBN-13: 9781000471885
• Artikelnr.: 62739542

Autorenporträt

Elad Segev (PhD, Keele University) is Associate Professor at the Department of Communication, Tel Aviv University. He studies the relationship between information and power, focusing on global information flows, country image, international news, information search, and the digital divide. In his studies he employs text and network analysis techniques.

Inhaltsangabe

1. How to Conduct Semantic Network Analysis
Elad Segev
2. The News Coverage of Threats: Iranian Nuclear Programs in Israeli Press
Noa A. Hatzir, Elad Segev, Kohei Watanabe and Atsushi Tago
3. Provocation Narratives in Chinese and US Newspapers
Yuan Zhou, Sandrine Boudana and Elad Segev
4. Cable News Channels' Partisan Ideology and Market Share Growth as
Predictors of Social Distancing Sentiment during the COVID-19 Pandemic
James A. Danowski, Bei Yan and Ken Riopelle
5. Politicizing the Holocaust: A Comparative Analysis of Israeli and German
Speeches
Maya Hadar, Regula Miesch and Elad Segev
6. Network of Ceavages? British Paradiplomacy in the (digital)
International Discourse around Brexit
Jérôme Chariatte and Diana Ingenhoff
7. Sexual Assaults Blindsided by Politics on Twitter: Semantic Network
Analysis of Symbolic #MeToo Cases in Japan and South Korea
Saki Mizoroki and Bumsoo Kim
8. Time to be Happy? WhatsApp and Phatic Communication within the Extended
Family
Noa A. Hatzir
9. School Improvement: Semantic Network Analysis of the Literature
Audrey Addi-Raccah, Tali Shahrabani and Elad Segev
10. Identifying Patterns in Communication Science: Mapping Knowledge
Structures using Semantic Network Analysis of Keywords
Nico Pfiffner
11. Summary and Concwlusion
Elad Segev