- ASA 2022 Data-Driven Decision Making
- Edited by Enrico di Bella, Luigi Fabbris, Corrado Lagazio
Topic modeling for analysing the Russian propaganda in the conflict with Ukraine
- Maria Gabriella Grassia
- Marina Marino
- Rocco Mazza
- Michelangelo Misuraca
- Agostino Stavolo
- © 2023 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-0106-3.43
The conflict between Ukraine and Russia is changing Europe, which is facing a crisis destined to reshape the internal and external relations of the continent, shifting international balances. In this contribution, we show preliminary results on the monitoring of Russian propaganda. In fact, we analysed the content of online newspapers (Strategic Culture Foundation, Global research, News Front, South Front, Katehon, Geopolitics) used as propaganda tools of the Russian government. The newspapers create and amplify the narrative of the conflict, transmitting information filtered by the Kremlin to advance Putin's propaganda about the war. The objective of the work, therefore, is to understand what were the main themes that the Russian media used to motivate the conflict in Ukraine. Specifically, the proposed analysis runs from March 2021, when the Russian military began moving weapons and equipment into Crimea, to the end of March 2022, the day of the first negotiations in Istanbul. In this regard, we used topic modeling techniques to analyse textual content that uncovers the latent thematic structure in document collections to identify emerging topics.
- Keywords:
- topic modeling,
- russian propaganda,
- non-negative matrix factorization,
University of Naples Federico II, Italy - ORCID: 0000-0002-7128-7323
University of Naples Federico II, Italy - ORCID: 0000-0002-0742-5912
University of Naples Federico II, Italy - ORCID: 0000-0002-4901-5225
University of Calabria, Italy - ORCID: 0000-0002-8794-966X
University of Naples Federico II, Italy - ORCID: 0000-0001-5890-2195
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Chapter Information
Chapter Title
Topic modeling for analysing the Russian propaganda in the conflict with Ukraine
Authors
Maria Gabriella Grassia, Marina Marino, Rocco Mazza, Michelangelo Misuraca, Agostino Stavolo
Language
English
DOI
10.36253/979-12-215-0106-3.43
Peer Reviewed
Publication Year
2023
Copyright Information
© 2023 Author(s)
Content License
Metadata License
Bibliographic Information
Book Title
ASA 2022 Data-Driven Decision Making
Book Subtitle
Book of short papers
Editors
Enrico di Bella, Luigi Fabbris, Corrado Lagazio
Peer Reviewed
Publication Year
2023
Copyright Information
© 2023 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press, Genova University Press
DOI
10.36253/979-12-215-0106-3
eISBN (pdf)
979-12-215-0106-3
eISBN (xml)
979-12-215-0107-0
Series Title
Proceedings e report
Series ISSN
2704-601X
Series E-ISSN
2704-5846