Neutral News AI

The tool adds a browser‑based analyzer that evaluates any news article for bias, credibility, and source quality. It uses AI‑assisted journalism techniques, MNLI‑based fact‑checking, and human editorial input to produce orientation scores, framing indicators, and traceable receipts for each claim. Results appear in a single panel within the reading flow, allowing users to see how a story is positioned, whether its sources are reliable, and which assertions are supported, refuted, or inconclusive.

It is aimed at readers, researchers, students, and teams who need quick contextual signals before sharing or acting on news. By applying a consistent set of signals across more than 7,000 sites, the extension helps users cross‑check narratives, spot loaded language, and reduce the risk of spreading misinformation.

The system aggregates multi‑source reporting, runs claim‑level checks, and makes its methodology transparent, so the analysis can be traced back to the underlying criteria and sources. This design supports media‑literacy practice and collaborative verification without requiring external tools.