2025
Large Language Models as Reader for Bias Detection
EMNLP 2025
Detecting bias in media content is crucial for maintaining information integrity and promoting inclusivity. Traditional methods analyze text from the writer’s perspective, which analyzes textual features directly from the writer’s intent, leaving the reader’s perspective underexplored. This paper in