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Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts

arXiv ·

A new methodology emulating fact-checker criteria assesses news outlet factuality and bias using LLMs. The approach uses prompts based on fact-checking criteria to elicit and aggregate LLM responses for predictions. Experiments demonstrate improvements over baselines, with error analysis on media popularity and region, and a released dataset/code at https://github.com/mbzuai-nlp/llm-media-profiling.

CP NewsAlert: New AI strategy looks to close ‘adoption gap,’ build public trust - Toronto Star

Bahrain AI ·

This article discusses a new AI strategy aimed at addressing an 'adoption gap' and fostering public trust, according to a report from the Toronto Star. However, no specific details about the strategy, its scope, or the entities involved are provided in the content. The focus appears to be on a Canadian context, without explicit relevance to the Middle East or North Africa. Why it matters: Without content, it is impossible to assess the specific implications or relevance of this news for the Middle East AI landscape.