Challenging the global cultural conflict narrative: An automated content analysis on how perpetrator identity shapes worldwide news coverage of Islamist and right-wing terror attacks

Chung Hong Chan*, Hartmut Wessler, Marc Jungblut, Kasper Welbers, Scott Althaus, Joseph Bajjalieh, Wouter van Atteveldt

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Recent terrorist attacks such as the Christchurch mosque attacks in 2019 renew the discussion of whether right-wing attacks are reported less negatively than Islamist attacks. To clarify this point, our study is the first to combine the selection of media inside and outside the West with a distinction between Islamist and right-wing attacks. We compare coverage given to thirty-two right-wing and forty Islamist attacks from 2015 to 2019 in nine Western and eight non-Western English-language media outlets, tapping the differential use of the “terrorist/terrorism” label and textual sentiment. Both (many) Western and (some) non-Western media use this label more frequently in the coverage of Islamist attacks. Importantly, public diplomacy channels from non-Western countries such as China Daily and Sputnik also demonstrate this pattern. Delegitimizing Islamist attacks more than right-wing attacks thus cannot be explained as merely a Western phenomenon alone. We point to alternative explanations and call for greater standardization of coverage across Islamist and right-wing attacks.

Original languageEnglish
Pages (from-to)1064-1089
Number of pages26
JournalInternational Journal of Press/Politics
Volume29
Issue number4
Early online date22 Feb 2023
DOIs
Publication statusPublished - Oct 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2023.

Funding

The authors would like to thank Katharina Ludwig (Institute for Media and Communication Studies, University of Mannheim) for her help on the validation. The authors also would like to thank Valerie Hase (Ludwig-Maximilians-Universit\u00E4t M\u00FCnchen, Germany) for sharing information about her studies. 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 Trans-Atlantic Platform's Digging into Data Challenge funding program. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Deutsche Forschungsgemeinschaft, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, National Endowment for the Humanities. The authors would like to thank Katharina Ludwig (Institute for Media and Communication Studies, University of Mannheim) for her help on the validation. The authors also would like to thank Valerie Hase (Ludwig-Maximilians-Universit\u00E4t M\u00FCnchen, Germany) for sharing information about her studies. 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 Trans-Atlantic Platform's Digging into Data Challenge funding program. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Deutsche Forschungsgemeinschaft, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, National Endowment for the Humanities.

FundersFunder number
Deutsche Forschungsgemeinschaft
National Endowment for the Humanities
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Katharina Ludwig

    Keywords

    • automated content analysis
    • media bias
    • political violence
    • social identity theory
    • terrorism

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