Wartime Media Monitor (WarMM-2022): A Study of Information Manipulation on Russian Social Media during the Russia-Ukraine War

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A93VWVVKI" target="_blank" >RIV/00216208:11320/23:93VWVVKI - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175486272&partnerID=40&md5=fe15ef47240763f5b08dc4ccbb198f8e" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175486272&partnerID=40&md5=fe15ef47240763f5b08dc4ccbb198f8e</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Wartime Media Monitor (WarMM-2022): A Study of Information Manipulation on Russian Social Media during the Russia-Ukraine War
Original language description
"This study relies on natural language processing to explore the nature of online communication in Russia during the war on Ukraine in 2022. The analysis of a large corpus of publications in traditional media and on social media identifies massive state interventions aimed at manipulating public opinion. The study relies on expertise in media studies and political science to trace the major themes and strategies of propagandist narratives on three major Russian social media platforms over several months as well as their perception by the users. Distributions of several keyworded pro-war and anti-war topics are examined to reveal the cross-platform specificity of social media audiences. We release WarMM-2022, a 1.7M posts corpus. This corpus includes publications related to the Russia-Ukraine war, which appeared in Russian mass media (February to September 2022) and on social networks (July to September 2022). The corpus can be useful for the development of NLP approaches to propaganda detection and subsequent studies of propaganda campaigns in social sciences in addition to traditional methods, such as content analysis, focus groups, surveys, and experiments. © 2023 Association for Computational Linguistics."
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
"EACL - Jt. SIGHUM Workshop Comput. Linguist. Cult. Herit., Soc. Sci., Humanit. Lit., Proc. LaTeCH-CLfL"
ISBN
978-195942954-8
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
152-161
Publisher name
Association for Computational Linguistics
Place of publication
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Event location
Cham
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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