Details
| Original language | English |
|---|---|
| Title of host publication | ICMR '24 |
| Subtitle of host publication | Proceedings of the 2024 International Conference on Multimedia Retrieval |
| Pages | 1160-1164 |
| Number of pages | 5 |
| ISBN (electronic) | 9798400706028 |
| Publication status | Published - 7 Jun 2024 |
| Event | 2024 International Conference on Multimedia Retrieval, ICMR 2024 - Phuket, Thailand Duration: 10 Jun 2024 → 14 Jun 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.
Keywords
- multilingual twitter narrative, multimedia news discourse, russoukrainian conflict
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Software
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval. 2024. p. 1160-1164.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Unveiling Global Narratives
T2 - 2024 International Conference on Multimedia Retrieval, ICMR 2024
AU - Hakimov, Sherzod
AU - Cheema, Gullal S.
N1 - Publisher Copyright: © 2024 Copyright held by the owner/author(s).
PY - 2024/6/7
Y1 - 2024/6/7
N2 - 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.
AB - 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.
KW - multilingual twitter narrative
KW - multimedia news discourse
KW - russoukrainian conflict
UR - http://www.scopus.com/inward/record.url?scp=85199141989&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2306.12886
DO - 10.48550/arXiv.2306.12886
M3 - Conference contribution
AN - SCOPUS:85199141989
SP - 1160
EP - 1164
BT - ICMR '24
Y2 - 10 June 2024 through 14 June 2024
ER -