How Information Retrieval Systems Construct and Amplify Immigration Narratives

This paper examines how modern information retrieval systems shape, construct, and amplify dominant narratives around immigration. Using large-scale IR datasets and qualitative framing analysis, we show how retrieval pipelines can systematically privilege particular viewpoints, raising concerns for fairness, accountability, and responsible AI.