Visualising War / Peace Photographs: A Comparative Analysis of Selected Asian News Sites’ Coverage of the 2022 Russian-Ukrainian Conflict

Author:

Elareshi Mokhtar1,Ziani Abdulkrim2,Alsridi Hatem3,Tahat Khalaf4

Affiliation:

1. College of Communication , University of Sharjah , Sharjah , United Arab Emirates ( UAE ).

2. Communication and Media College , Al Ain University , Abu Dhabi , UAE .

3. Department of Media, Tourism and Arts , Bahrain University , Bahrain .

4. Media & Creative Industries Department , United Arab Emirates University , Al Ain , UAE .

Abstract

Abstract This study analyses the visual coverage of the 2022 Russian-Ukrainian conflict on Asian news sites, utilising the frameworks of war and peace journalism. Conducting a content analysis of 397 images from seven leading Asian news sites, we contribute to the literature on visual coverage, particularly from online platforms. Our analysis identifies the predominant visual narratives employed by these news sites and offers insights into variations in coverage intensity, regional and ethnic focuses, portrayal of age groups, and depiction of harm. The study extends the understanding of framing theory by analysing visual frames, providing valuable implications for future visual studies and contributing to a deeper understanding of conflict portrayal in online news media.

Publisher

Walter de Gruyter GmbH

Reference41 articles.

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2. Al-Hadi, H., 2022. News Treatment of the Russian-Ukrainian Crisis in Arabic-Speaking Accounts on Instagram. Scientific Journal of the Faculty of Specific Education 9 (32), 881–894, [in Arabic] doi: https://doi.org/10.21608/molag.2023.181519.1145

3. Al-Rawi, A., 2019. Mobile News Apps as Sites of Transnational Ethnic Mediascapes. The Journal of International Communication 26 (1), 73–91, doi: https://doi.org/10.1080/13216597.2019.1678506

4. Arbaoui, B., De Swert, K. & Van der Brug, W., 2020. Sensationalism in News Coverage: A Comparative Study in 14 Television Systems. Communication Research 47 (2), 299–320, doi: https://doi.org/10.1177/0093650216663364

5. Bhandari, A., Shah, S. B., Thapa, S., Naseem, U. & Nasim, M., 2023. CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Vancouver (BC), 1994–2002. https://openaccess.thecvf.com/content/CVPR2023W/MMCM/html/Bhandari_CrisisHateMM_Multi-modal_Analysis_of_Directed_and_Undirected_Hate_Speech_in_CVPRW_2023_paper.html (accessed 15 May 2024).

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