About Lenstrum
How Lenstrum analyzes content
Framing & Perspectives
Text is extracted from the URL and passed to Claude with a structured non-partisan prompt. Political content is rated Left, Centre, Right, or Unknown with a confidence level. For non-political debates — science, theology, economics, philosophy — Lenstrum identifies the actual perspectives in play instead of forcing a left-right label onto a discussion that isn't about party politics. Lenstrum analyzes content, not source reputation.
AI involvement
The transcript is assessed for patterns associated with AI-generated text — unnatural fluency, absence of hesitation markers, and repetitive structure. Results are probabilistic indicators, not verdicts.
Source context
Lenstrum classifies the content type and provides a recommendation for how to contextualise the source. Related coverage from left, centre, and right outlets is surfaced using Brave Search.
Accuracy & Validation
90%
overall accuracy
100%
political YouTube
100
item validation corpus
Lenstrum's analysis engine has been validated against a 100-item corpus of political articles, political YouTube videos, non-political content, and balanced sources — political categories tested against AllSides and Ad Fontes Media ratings, non-political against internal reference ratings, since no third-party benchmark exists for that category yet. We publish our methodology openly because trust in a transparency tool has to be earned, not assumed.
Our data sources
Claude (Anthropic) — performs bias, AI detection, and source context analysis via the Anthropic API.
Supadata — retrieves YouTube transcripts for video analysis.
Brave Search — surfaces related coverage from left, centre, and right outlets.
What we do not do
Lenstrum does not fact-check. A well-sourced, accurate article can carry an ideological lean — lean is a framing signal, not a quality judgment.
Lenstrum does not rate creators or outlets. It analyzes specific pieces of content, not the broader output of a source.
Lenstrum cannot process content without available text. Videos without captions, paywalled articles with no excerpt, and private posts cannot be analyzed.
Why we built this
Something has shifted in how people process information. Discussions that used to start with curiosity now start with a side already picked. Facts get bent to fit a conclusion instead of the other way around, and the people doing the bending are rarely aware they're doing it — everyone thinks their own framing is just "seeing things clearly." Meanwhile the natural response to being lied to or misled — by outlets, by algorithms, by each other — has been to trust less of everything, including the things that still deserve trust.
That's not a healthy equilibrium. A society that has swung from "believe everything" to "believe nothing" hasn't actually solved its information problem — it's just changed which mistake it's making. Blanket skepticism feels like protection, but it leaves people with no reliable way to tell a well-sourced piece of reporting from a piece of content engineered to provoke a reaction. Both get treated the same: as noise to be doubted.
We also watched this get worse as AI-generated content became harder to distinguish from human writing, and as more of what people read never touches a newsroom at all — it's a video transcript, a social post, a thread. The old instincts people used to size up a source (masthead, byline, a sense of who's behind it) don't transfer cleanly to that world.
Lenstrum exists because we think there's a missing step between reading something and reacting to it: a pause to ask what's actually being framed here, who's saying it, whether AI played a role in producing it, and what perspectives aren't being represented. Not to tell you what to think. To give you something to think with, before you decide what to do with what you just read.
What we're actually trying to do
Transparency, honesty, clarity, and a fact-based starting point — that's the standard we're building toward, and we're still figuring out exactly what that looks like in practice as this evolves. We'd rather say that plainly than pretend the methodology is more finished than it is.
Concretely: Lenstrum has no allegiance to any party, outlet, or ideology. We're not trying to win an argument for one side, and we're not building a tool that either side can point to as proof they were right all along. If Lenstrum ever starts to feel like ammunition instead of a starting point, that's a sign we've drifted from what we set out to build.
We built this to be the place you go after you've already read or watched something — not to end the conversation, but to keep it honest as it continues. Where the discussion goes from there is up to you.
The team
Lenstrum is an independent product. We publish our methodology openly and encourage users to challenge our outputs. If you spot a systematic issue with the analysis, use the feedback tools — they go directly to us.
© 2026 Lenstrum Analytics Inc. — Media Transparency Platform