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Comparing qualitative and quantitative approaches for studying framing of the siege of Mariupol on Twitter

Bibliographic Data

ID12904698
AuthorsMichael Tschirky (corresponding author), Mykola Makhortykh (0000-0001-7143-5317, University of Bern)
Year2023
Volume17
Issue2
Pages163-178
Publication date2023-07-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMedia War & Conflict (JOURNAL)
Journal identifiersISSN: 1750-6352 • E-ISSN: 1750-6360
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/17506352231184163
OpenAlexW4383342814
LanguageEN
Citations received13
References cited46

Social media platforms play a major role in shaping how the public around the world perceives contemporary wars, including the ongoing Russian invasion of Ukraine. However, there are multiple challenges in studying how exactly these platforms represent violence and what aspects of it are made more salient by their users. One of these challenges concerns the broad range of qualitative and quantitative approaches used to study platform-based war framing and their different capabilities in tackling the large volume of available data. To address this challenge, the authors compare the performance of qualitative and quantitative approaches – i.e. qualitative content analysis and topic modelling – for studying how one of the key episodes of the Russian–Ukrainian war, the siege of Mariupol in 2022 was framed on Twitter over time. Their findings demonstrate that both approaches show the prevalence of human interest and conflict frames that aligns with earlier research on war framing in journalistic media. At the same time, they observe differences in the estimated visibility of less common frames, such as morality and responsibility frames, depending on what method is used

Framing (construction · Media studies · Political science · Public relations · Qualitative research · Salient · Siege · Social media · Social science · Sociology · Ukrainian · History · Law · Media Studies and Communication · Social Media and Politics · Terrorism, Counterterrorism, and Political Violence

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Unique citing works13
Citations per year6,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 13

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