All is Fair in Love and War: Moral Foundations in English-Language Tweets during the First 36 Weeks of Conflict Between Ukraine and Russia

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dc.contributor.author Amjadi, Eimon
dc.contributor.author John, Richard
dc.date.accessioned 2023-12-26T18:38:44Z
dc.date.available 2023-12-26T18:38:44Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 52d5ec73-5310-4b27-b0f6-ff6b9ce1bf09
dc.identifier.uri https://hdl.handle.net/10125/106690
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Data Analytics, Data Mining, and Machine Learning for Social Media
dc.subject liwc.
dc.subject moral foundations theory
dc.subject social media
dc.subject text analysis
dc.subject twitter
dc.title All is Fair in Love and War: Moral Foundations in English-Language Tweets during the First 36 Weeks of Conflict Between Ukraine and Russia
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract We apply Moral Foundations Theory (MFT) to explore how the public conceptualizes the current conflict between Ukraine and the Russian Federation (Russia). Our analysis includes over 1.1 million English Tweets over the first 36 weeks related to the conflict. We used a LIWC (Luke) moral foundations dictionary to identify the moral components (care, fairness, loyalty, authority, and sanctity) of tweets from the U.S., pre- and post-Cold War NATO countries, Ukraine, and Russia. Following an initial spike at the beginning of the conflict, tweet volume declined and stabilized by week ten. The level of moral content varied significantly across the five regions and the five moral components. Tweets from different regions included significantly different moral foundations to conceptualize the conflict. Across all regions, tweets were dominated by loyalty content, while fairness content was infrequent. Moral content over time was relatively stable, and variations were linked to reported conflict events.
dcterms.extent 8 pages
prism.startingpage 2546
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