Discover what HonestyMeter is, an open-source AI framework that detects bias and manipulation in media content and delivers objectivity reports.

HonestyMeter is a framework designed to tackle misleading factual reporting in media. It identifies manipulation techniques—such as sensationalism, biased framing, omissions, and misleading headlines—within content. Its goal is to boost media transparency and objectivity by analyzing and flagging these tactics, helping journalists create more balanced content and enabling readers to make better-informed decisions.
The tool is free, open-source, and improves over time through AI and user feedback.
HonestyMeter was created by 1littlecoder, along with Yohei Nakajima and Matt Wolfe, who were inspired by the potential of AI-powered apps. The project is self-funded, and the team is dedicated to improving content objectivity.
HonestyMeter can:
Visit the HonestyMeter website to analyze media content. You can paste text or provide links for analysis, and the tool returns bias and objectivity reports for the submitted content.
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