7 citations · 7 across the 3 of their papers we have counts for
4 papers
IYKYK: Using language models to decode extremist cryptolects
Christine de Kock, Arij Riabi, Zeerak Talat +3
Extremist groups develop complex in-group language, also referred to as cryptolects, to exclude or mislead outsiders. We investigate the ability of current language technologies to…
Inducing lexicons of in-group language with socio-temporal context
Christine de Kock
In-group language is an important signifier of group dynamics. This paper proposes a novel method for inducing lexicons of in-group language, which incorporates its socio-temporal…
Jointly modelling the evolution of social structure and language in online communities
Christine de Kock
Group interactions take place within a particular socio-temporal context, which should be taken into account when modelling interactions in online communities. We propose a method…
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
Zhiwei Liu, Kailai Yang, Qianqian Xie +3
Misinformation is prevalent in various fields such as education, politics, health, etc., causing significant harm to society. However, current methods for cross-domain misinformati…