I Doubt News

Rather than labeling news as definitively true or false, the platform takes a more nuanced approach: it uses large language model analysis to identify specific rhetorical and journalistic techniques that can distort a reader's perception of eventsgiving users the tools to read critically rather than delivering simple verdicts.

The platform's bias detection engine screens articles for a comprehensive range of manipulation and credibility-undermining patterns: selective reporting that presents only facts supporting one narrative, cherry-picked data that misrepresents broader trends, out-of-context quotes that change the meaning of what was said, false equivalence that treats unequal claims as equally valid, fear-mongering that amplifies threat perception beyond what evidence supports, and emotive language that provokes emotional rather than rational responses.

Conspiracy theory markers and inappropriate appeals to authority are also flagged.

Each analyzed article receives a trustworthiness score on a scale from -1 to +1, with 0 representing neutral and unbiased content and scores approaching -1 or +1 indicating high levels of bias or manipulative framing in either direction.

This numerical rating gives readers a quick, at-a-glance signal about content quality before they invest significant reading time, while the detailed analysis behind the score provides the specific evidence that supports the rating for users who want to understand the reasoning.

A Chrome extension extends the platform's capabilities directly into the browser, enabling users to analyze any news article they encounter during normal web browsing without navigating to a separate tool.

The extension provides annotation features that highlight potentially problematic passages within the article itself, and an AI assistant answers follow-up questions about the article's credibility and analytical methodology directly within the browser interface.