Human-in-the-Loop Models Could Improve Media Bias Detection, Study Finds

The article reviews research on media bias, highlighting how subjective annotations, limited datasets, and unreliable NLP models hinder automated bias detection. It argues for combining expert data, crowdsourcing, and human-in-the-loop systems, alongside reader-awareness tools, to create more accurate and scalable media bias solutions.