Ph.D. student Ben Wang and his faculty advisor Dr. Jiqun Liu presented a paper about confirmation bias in interaction information retrieval at the Association for Computing Machinery (ACM) International Conference on the Theory of Information Retrieval (ICTIR). This study provides insight into the interaction between users affected by confirmation bias, and algorithmically biased SERPs in whole-session searches on debated topics. It advanced the understanding of the long-term effects of confirmation bias on users’ search interactions, judgments, and attitudes. Future studies can continue to investigate the complex effects of biases in a broader range of human-AI interaction scenarios, identify the hidden biases in retrieved information and system-generated responses, and deploy effective bias mitigation techniques. ICTIR paper: https://arxiv.org/abs/2403.17286
Travel to the conference was supported by the NSF student travel award and OU Robberson Travel Grant.
