Chapter Topic modeling for analysing the Russian propaganda in the conflict with Ukraine
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 analy...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | Online |
| اللغة: | الإنجليزية |
| منشور في: |
Firenze University Press, Genova University Press
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20230803_9791221501063_111 |
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| _version_ | 1869515011780509696 |
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| author | Grassia, Maria Gabriella Marino, Marina Mazza, Rocco Misuraca, Michelangelo stavolo, agostino |
| author_browse | Grassia, Maria Gabriella Marino, Marina Mazza, Rocco Misuraca, Michelangelo stavolo, agostino |
| author_facet | Grassia, Maria Gabriella Marino, Marina Mazza, Rocco Misuraca, Michelangelo stavolo, agostino |
| author_sort | Grassia, Maria Gabriella |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-111977 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Firenze University Press, Genova University Press |
| publisherStr | Firenze University Press, Genova University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1119772025-07-17T10:01:28Z Chapter Topic modeling for analysing the Russian propaganda in the conflict with Ukraine Grassia, Maria Gabriella Marino, Marina Mazza, Rocco Misuraca, Michelangelo stavolo, agostino topic modeling russian propaganda non-negative matrix factorization thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences 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. 2023-08-08T04:10:37Z 2023-08-08T04:10:37Z 2023-08-03T15:06:42Z 2023 chapter ONIX_20230803_9791221501063_111 2704-5846 https://library.oapen.org/handle/20.500.12657/74915 9791221501063 https://directory.doabooks.org/handle/20.500.12854/111977 eng Proceedings e report open access image/png image/jpeg Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/74915/1/9791221501063-43.pdf https://library.oapen.org/bitstream/20.500.12657/74915/1/9791221501063-43.pdf Firenze University Press, Genova University Press 10.36253/979-12-215-0106-3.43 10.36253/979-12-215-0106-3.43 74113d79-2268-4658-88bb-6e8757c543b0 ASA 2022 Data-Driven Decision Making 9791221501063 6 Florence open access |
| spellingShingle | topic modeling russian propaganda non-negative matrix factorization thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Grassia, Maria Gabriella Marino, Marina Mazza, Rocco Misuraca, Michelangelo stavolo, agostino Chapter Topic modeling for analysing the Russian propaganda in the conflict with Ukraine |
| title | Chapter Topic modeling for analysing the Russian propaganda in the conflict with Ukraine |
| title_full | Chapter Topic modeling for analysing the Russian propaganda in the conflict with Ukraine |
| title_fullStr | Chapter Topic modeling for analysing the Russian propaganda in the conflict with Ukraine |
| title_full_unstemmed | Chapter Topic modeling for analysing the Russian propaganda in the conflict with Ukraine |
| title_short | Chapter Topic modeling for analysing the Russian propaganda in the conflict with Ukraine |
| title_sort | chapter topic modeling for analysing the russian propaganda in the conflict with ukraine |
| topic | topic modeling russian propaganda non-negative matrix factorization thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| topic_facet | topic modeling russian propaganda non-negative matrix factorization thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| url | ONIX_20230803_9791221501063_111 |
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