Chatbots powered by large language models (LLMs), such as ChatGPT and Claude, answer questions quickly and fluently, yet they reveal little about how their answers are produced or what evidence supports them. Users tend to trust these systems based on surface qualities such as fluency, confidence, and speed. This trust...
Kokil Jaidka, Meng-Xuan Cai· Frontiers in Psychology· 2 citations· ⚡1
A preregistered, three-country randomized experiment on out-of-context image misinformation, manipulating a correction's channel affordances (synchronicity, bandwidth) across four conditions shows engagement mechanisms do not substitute for slow AI literacy.
Kokil Jaidka, I. Mujtahid, Peng Qi et al.· 0 citations
A structured content analysis of a publicly released dataset from a discontinued field experiment on Reddit, evaluating identity performance, authority signaling, alignment strategies, and activation of cognitive heuristics points toward auditing frameworks capable of assessing how AI systems structure credibility, not...
Kokil Jaidka, Saifuddin Ahmed· Proceedings of the Language...· 0 citations
Althea is introduced, a retrieval-augmented system for user-driven claim evaluation that matches standard pipelines on AVeriTeC while improving supported/refuted discrimination and cautioning against treating AI-delivered verdicts as a source of durable literacy gains.
S. Churina, Kokil Jaidka, A. Barik et al.· 0 citations
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