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Topic modeling for analysing the Russian propaganda in the conflict with Ukraine

  • Maria Gabriella Grassia
  • Marina Marino
  • Rocco Mazza
  • Michelangelo Misuraca
  • Agostino Stavolo

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,
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Maria Gabriella Grassia

University of Naples Federico II, Italy - ORCID: 0000-0002-7128-7323

Marina Marino

University of Naples Federico II, Italy - ORCID: 0000-0002-0742-5912

Rocco Mazza

University of Naples Federico II, Italy - ORCID: 0000-0002-4901-5225

Michelangelo Misuraca

University of Calabria, Italy - ORCID: 0000-0002-8794-966X

Agostino Stavolo

University of Naples Federico II, Italy - ORCID: 0000-0001-5890-2195

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  • Publication Year: 2023
  • Pages: 245-250
  • Content License: CC BY 4.0
  • © 2023 Author(s)

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  • Publication Year: 2023
  • Content License: CC BY 4.0
  • © 2023 Author(s)

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

CC BY 4.0

Metadata License

CC0 1.0

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

CC BY 4.0

Metadata License

CC0 1.0

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

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