TY - JOUR
T1 - How Combining Terrorism, Muslim, and Refugee Topics Drives Emotional Tone in Online News
T2 - A Six-Country Cross-Cultural Sentiment Analysis
AU - Chan, Chung Hong
AU - Wessler, Hartmut
AU - Rinke, Eike Mark
AU - Welbers, Kasper
AU - van Atteveldt, Wouter
AU - Althaus, Scott
N1 - Funding Information:
This project was funded by a research grant from the (1) German Research Foundation (Deutsche Forschungsgemeinschaft), (2) the Netherlands Organisation for Scientific Research (Nederlandse Organisatie voor Wetenschappelijk Onderzoek), and (3) the National Endowment for the Humanities, through the TransAtlantic Platform’s Digging Into Data Challenge funding program. The authors would like to thank the following coders and translators (in alphabetical order): Mohamad Alsaleh, Gamze Bozkurt, Rainer Freudenthaler, Patrik Haffner, Mohammad Joudeh, Büsra Karaca, Katharina Ludwig, Michael Martin, Mattew J. Powers, Sarah Shammaa, and Helin Yilmaz.
Publisher Copyright:
© 2020 (Chung-Hong Chan, Hartmut Wessler, Eike Mark Rinke, Kasper Welbers, Wouter van Atteveldt, and Scott Althaus). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd). All Rights Reserved.
PY - 2020
Y1 - 2020
N2 - This study looks into how the combination of Islam, refugees, and terrorism topics leads to text-internal changes in the emotional tone of news articles and how these vary across countries and media outlets. Using a multilingual human-validated sentiment analysis, we compare fear and pity in more than 560,000 articles from the most important online news sources in six countries (U.S., Australia, Germany, Switzerland, Turkey, and Lebanon). We observe that fear and pity work antagonistically⇔that is, the more articles in a particular topical category contain fear, the less pity they will feature. The coverage of refugees without mentioning terrorists and Muslims/Islam featured the lowest fear and highest pity levels of all topical categories studied here. However, when refugees were covered in combination with terrorism and/or Islam, fear increased and pity decreased in Christian-majority countries, whereas no such pattern appeared in Muslim-majority countries (Lebanon, Turkey). Variations in emotions are generally driven more by country-level differences than by the political alignment of individual outlets.
AB - This study looks into how the combination of Islam, refugees, and terrorism topics leads to text-internal changes in the emotional tone of news articles and how these vary across countries and media outlets. Using a multilingual human-validated sentiment analysis, we compare fear and pity in more than 560,000 articles from the most important online news sources in six countries (U.S., Australia, Germany, Switzerland, Turkey, and Lebanon). We observe that fear and pity work antagonistically⇔that is, the more articles in a particular topical category contain fear, the less pity they will feature. The coverage of refugees without mentioning terrorists and Muslims/Islam featured the lowest fear and highest pity levels of all topical categories studied here. However, when refugees were covered in combination with terrorism and/or Islam, fear increased and pity decreased in Christian-majority countries, whereas no such pattern appeared in Muslim-majority countries (Lebanon, Turkey). Variations in emotions are generally driven more by country-level differences than by the political alignment of individual outlets.
KW - Muslim
KW - multicultural analysis
KW - refugee
KW - sentiment analysis
KW - terrorism
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M3 - Article
AN - SCOPUS:85099453505
SN - 1932-8036
VL - 14
SP - 3569
EP - 3594
JO - International Journal of Communication
JF - International Journal of Communication
ER -