3 papers
cs.HC2026
Chatbot Engagement Does Not Always Beget Metalearning: Evidence from Three Countries
Kokil Jaidka, Insyirah Binte Imam Mujtahid, Peng Qi +5
Chatbots deliver real-time fact-checks, but whether a chatbot correction leaves anything behind once the chatbot is gone - metalearning, distinct from correcting misbeliefs - is un…
cs.CL2026
CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
Sahajpreet Singh, Insyirah Mujtahid, Min-Yen Kan +1
Misinformation verification increasingly occurs in public, fast-moving, and multilingual online settings, where static benchmarks provide an incomplete measure of model reliability…
cs.CL2025
Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus
Svetlana Churina, Akshat Gupta, Insyirah Mujtahid +1
Code-mixing involves the seamless integration of linguistic elements from multiple languages within a single discourse, reflecting natural multilingual communication patterns. Desp…