Senja Bias Scorecard - Source Credibility Widget for News Sites

Problem: Readers landing on a news article have no in-context signal about the publication's bias or credibility. They have to leave the page, visit a separate site like AllSides or Media Bias/Fact Check, search for the outlet, and interpret a rating that lives far from the article they are reading. For independent publishers and fact-checking sites that actually want to signal transparency, there is no lightweight, drop-in way to show credibility context right where the reading happens. Named product: Senja Bias Scorecard, an embeddable widget that renders a live media bias and credibility score directly on any news article page, powered by crowd signals. Solution: Publishers add a small script or embed to their article template. The widget surfaces a bias axis and a credibility score, with the underlying signal aggregated from crowd ratings rather than a single editorial board. Because it sits on-page, it keeps the reader in context and lets a publisher visibly commit to transparency. MVP: a JavaScript embed plus a hosted scoring backend. Start with a seed set of outlet ratings, a crowd-voting mechanism tied to the embed, and a simple admin dashboard where publishers configure appearance and see which articles get rated. Revenue: B2B SaaS subscription per publisher, tiered by pageviews or number of article domains, with a free tier for small independents to drive adoption and paid tiers for sites wanting custom styling, analytics, and white-labeling. GTM: go direct to independent news publishers and fact-checking sites, the audience most ideologically aligned with displaying credibility context. Growth loops: every embed carries a subtle Senja attribution, so each article page that runs the widget is a distribution surface. Crowd votes gathered on one publisher's pages improve scores shown on every other publisher's pages, creating a shared data asset that gets more useful as more sites embed it.