Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Sherzod Hakimov
  • Gullal S. Cheema

Organisationseinheiten

Externe Organisationen

  • Universität Potsdam
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksICMR '24
UntertitelProceedings of the 2024 International Conference on Multimedia Retrieval
Seiten1160-1164
Seitenumfang5
ISBN (elektronisch)9798400706028
PublikationsstatusVeröffentlicht - 7 Juni 2024
Veranstaltung2024 International Conference on Multimedia Retrieval, ICMR 2024 - Phuket, Thailand
Dauer: 10 Juni 202414 Juni 2024

Abstract

The ongoing Russo-Ukrainian conflict has been a subject of intense media coverage worldwide. Understanding the global narrative surrounding this topic is crucial for researchers that aim to gain insights into its multifaceted dimensions. In this paper, we present a novel multimedia dataset that focuses on this topic by collecting and processing tweets posted by news or media companies on social media across the globe. We collected tweets from February 2022 to May 2023 to acquire approximately 1.5 million tweets in 60 different languages along with their images. Each entry in the dataset is accompanied by processed tags, allowing for the identification of entities, stances, textual or visual concepts, and sentiment. The availability of this multimedia dataset serves as a valuable resource for researchers aiming to investigate the global narrative surrounding the ongoing conflict from various aspects such as who are the prominent entities involved, what stances are taken, where do these stances originate from, how are the different textual and visual concepts related to the event portrayed.

ASJC Scopus Sachgebiete

Zitieren

Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict. / Hakimov, Sherzod; Cheema, Gullal S.
ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval. 2024. S. 1160-1164.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Hakimov, S & Cheema, GS 2024, Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict. in ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval. S. 1160-1164, 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, 10 Juni 2024. https://doi.org/10.48550/arXiv.2306.12886, https://doi.org/10.1145/3652583.3657622
Hakimov, S., & Cheema, G. S. (2024). Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict. In ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval (S. 1160-1164) https://doi.org/10.48550/arXiv.2306.12886, https://doi.org/10.1145/3652583.3657622
Hakimov S, Cheema GS. Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict. in ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval. 2024. S. 1160-1164 doi: 10.48550/arXiv.2306.12886, 10.1145/3652583.3657622
Hakimov, Sherzod ; Cheema, Gullal S. / Unveiling Global Narratives : A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict. ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval. 2024. S. 1160-1164
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title = "Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict",
abstract = "The ongoing Russo-Ukrainian conflict has been a subject of intense media coverage worldwide. Understanding the global narrative surrounding this topic is crucial for researchers that aim to gain insights into its multifaceted dimensions. In this paper, we present a novel multimedia dataset that focuses on this topic by collecting and processing tweets posted by news or media companies on social media across the globe. We collected tweets from February 2022 to May 2023 to acquire approximately 1.5 million tweets in 60 different languages along with their images. Each entry in the dataset is accompanied by processed tags, allowing for the identification of entities, stances, textual or visual concepts, and sentiment. The availability of this multimedia dataset serves as a valuable resource for researchers aiming to investigate the global narrative surrounding the ongoing conflict from various aspects such as who are the prominent entities involved, what stances are taken, where do these stances originate from, how are the different textual and visual concepts related to the event portrayed.",
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