Arc-nlp at multimodal hate speech event detection 2023: Multimodal methods boosted by ensemble learning, syntactical and entity features

U Sahin, IE Kucukkaya, O Ozcelik… - arXiv preprint arXiv …, 2023 - arxiv.org
Text-embedded images can serve as a means of spreading hate speech, propaganda, and
extremist beliefs. Throughout the Russia-Ukraine war, both opposing factions heavily relied …

Striking the balance between fake and real: under what conditions can media literacy messages that warn about misinformation maintain trust in accurate information?

M Hameleers, T van der Meer - Behaviour & Information …, 2023 - Taylor & Francis
Although interventions that warn about the harms of misinformation may be effective in
lowering the credibility of false information, they may also cause suspicion related to …

In the Spotlight: The Russian Government's Use of Official Twitter Accounts to Influence Discussions About its War in Ukraine

B Shultz - Proceedings of the 2nd ACM International Workshop …, 2023 - dl.acm.org
Russia's war in Ukraine has marked an inflection point for the future of the global order and
democracy itself. Widely condemned for waging a war of aggression, the Russian …

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

S Hakimov, GS Cheema - … of the 2024 International Conference on …, 2024 - dl.acm.org
The ongoing Russo-Ukrainian conflict has been a subject of intense media coverage
worldwide. Understanding the global narrative surrounding this topic is crucial for …

How popular is a topic on social media? A multi-criteria decision-making framework based on user engagement

S Güner, HI Cebeci, E Aydemir - Kybernetes, 2025 - emerald.com
Purpose Social media is widely used to capture citizens' opinions and topics deemed
important. The importance or interest social media users attribute to a topic is traditionally …

RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis

S Thapa, FA Jafri, K Rauniyar, M Nasim… - … Proceedings of the ACM …, 2024 - dl.acm.org
During the conflict between Ukraine and Russia, hate speech targeted toward specific
groups was widespread on different social media platforms. With most social platforms …

SiMiD: Similarity-based Misinformation Detection via Communities on Social Media Posts

O Ozcelik, C Toraman, F Can - 2023 Tenth International …, 2023 - ieeexplore.ieee.org
Social media users often find themselves exposed to similar viewpoints and tend to avoid
contrasting opinions, particularly when connected within a community. In this study, we …

Ukrainian Thoughts and Feelings based on One Year War Content Analysis

C Maathuis, I Kerkhof - International …, 2024 - papers.academic-conferences.org
In the age of remarkable technological innovations such as AI, quantum computing, IoT, and
blockchain, one could argue that the world is becoming an increasingly connected …

KPatch: Knowledge Patch to Pre-trained Language Model for Zero-Shot Stance Detection on Social Media

S Lin, W Chen, Y Gao, Z Jiang, M Liao… - Proceedings of the …, 2024 - aclanthology.org
Zero-shot stance detection on social media (ZSSD-SM) aims to distinguish the attitude in
tweets towards an unseen target. Previous work capture latent variables between source …

Detecting Misinformation on Social Media Using Community Insights and Contrastive Learning

O Ozcelik, C Toraman, F Can - ACM Transactions on Intelligent Systems and … - dl.acm.org
Social media users are more likely to be exposed to similar views and tend to avoid
contrasting views, especially when they are part of a community of social media users. In this …