impactnewstoday.com · Communication
3 items
Detect news bias & credibility instantly. Spot missing context, hidden agendas & one-sided reporting. Free & privacy-first. Read smarter. Not just faster. Impact News Lens analyzes any news article in seconds and shows you what the article says, what questions it leaves unanswered, and how credible and balanced the reporting is. HOW IT WORKS Open any news article. Click the extension icon or analysis button. A sidebar appears with a full breakdown — no copy-paste, no leaving the page. WHAT YOU SEE IN EVERY ANALYSIS - Main Claim — the core argument the article is making - Impact Summary — what this news actually means - Red Flags — patterns worth noticing (emotional language, missing sources, etc.) - Credibility Rating — High, Mixed, or Low, with the reason why - Bias Rating — Neutral, Balanced, Opinion-Heavy, One-Sided, or Attribution-Heavy - Critical Questions — what a thoughtful reader would want to ask next - Sources — links and references cited in the article PRIVACY FIRST Analysis results are stored locally on your device. Impact News Lens does not collect or share your browsing data. No tracking. FREE & VIP - Free: 50 article analyses per month - VIP (€4.99/month): Unlimited analyses + file upload + paste text to analyze any content WORKS ON Any news article on any website. Also available in English, Dutch, German, Spanish, Arabic, and Hindi — auto-detected from your browser language. FOR READERS WHO WANT MORE THAN HEADLINES Impact News Lens is built for people who want to understand the story behind the story — not just consume it.
May 19, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.