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cs.CL2026

Directed Social Regard: Surfacing Targeted Advocacy, Opposition, Aid, Harms, and Victimization in Online Media

Scott Friedman, Ruta Wheelock, Sonja Schmer-Galunder +6

The language in online platforms, influence operations, and political rhetoric frequently directs a mix of pro-social sentiment (e.g., advocacy, helpfulness, compassion) and anti-s…

cs.CL2025

SCRum-9: Multilingual Stance Classification over Rumours on Social Media

Yue Li, Jake Vasilakes, Zhixue Zhao +1

We introduce SCRum-9, the largest multilingual Stance Classification dataset for Rumour analysis in 9 languages, containing 7,516 tweets from X. SCRum-9 goes beyond existing stance…

cs.CL2025

Efficient Annotator Reliability Assessment with EffiARA

Owen Cook, Jake Vasilakes, Ian Roberts +1

Data annotation is an essential component of the machine learning pipeline; it is also a costly and time-consuming process. With the introduction of transformer-based models, annot…

cs.CL2025

Exploring Vision Language Models for Multimodal and Multilingual Stance Detection

Jake Vasilakes, Carolina Scarton, Zhixue Zhao

Social media's global reach amplifies the spread of information, highlighting the need for robust Natural Language Processing tasks like stance detection across languages and modal…

cs.CL2024

ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread

Jake Vasilakes, Zhixue Zhao, Ivan Vykopal +3

Addressing online disinformation requires analysing narratives across languages to help fact-checkers and journalists sift through large amounts of data. The ExU project focuses on…