Arc-nlp at multimodal hate speech event detection 2023: Multimodal methods boosted by ensemble learning, syntactical and entity features
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 …
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 …
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 …
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
The ongoing Russo-Ukrainian conflict has been a subject of intense media coverage
worldwide. Understanding the global narrative surrounding this topic is crucial for …
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
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 …
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
During the conflict between Ukraine and Russia, hate speech targeted toward specific
groups was widespread on different social media platforms. With most social platforms …
groups was widespread on different social media platforms. With most social platforms …
SiMiD: Similarity-based Misinformation Detection via Communities on Social Media Posts
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 …
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 …
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
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 …
tweets towards an unseen target. Previous work capture latent variables between source …
Detecting Misinformation on Social Media Using Community Insights and Contrastive Learning
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 …
contrasting views, especially when they are part of a community of social media users. In this …