White Paper · Version 4.0 · July 2026

Restoring Credibility
to the Information Age

Trust in media is at an all-time low. The editorial infrastructure that once verified information on the public's behalf has been economically hollowed out. Deyeken is the response.

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28%

of U.S. adults trust mass media
(down from 72% in the 1970s)

5

structural inflection points
that dismantled editorial credibility

3

weighted axes assess every
piece of content you choose

The Problem

The editorial infrastructure was defunded. Nothing replaced it.

The collapse in media trust is not irrational — it reflects a real change in the quality and reliability of what is being published. Five structural forces compounded over four decades to produce a crisis:

  • 1987 Repeal of the Fairness Doctrine removed editorial balance requirements from broadcast media
  • 1996 Telecommunications Act enabled media consolidation and reduced editorial independence
  • 2000s The internet destroyed print advertising economics, eliminating the revenue that funded newsrooms, fact-checkers, and editorial standards desks
  • 2004–now Engagement-optimised social platforms created economic incentives to publish content designed to provoke rather than inform
  • 2020–now Generative AI made the production of plausible-sounding misinformation essentially free and unlimited in volume

"The expectation that individuals should simply 'think critically' is the informational equivalent of closing every meteorological service and expecting each person to produce their own thirty-day weather forecast — armed with a window and a feeling."

The Landscape

Existing tools solve the wrong problem.

AllSides and NewsGuard assess political bias and publisher reliability — not whether the specific claims in a specific article are supported by evidence. Centralised fact-checkers choose what to examine, recreating the editorial gatekeeping problem they claim to solve. AI content detectors assess authorship, not accuracy.

Any platform that decides what to analyse inherits the editorial gatekeeping problem it claimed to solve. The reader's agency remains subordinated to someone else's editorial decision.

The Response

Credibility, verified by you.

Deyeken provides on-demand credibility analysis of any textual content — chosen by the reader, not pre-selected by a platform. A Safari browser extension and native Apple Share sheet integration make this literal: one tap, on any page, in any app, without leaving the content. The analysis comes to the reader.

20%
Source Credibility

Publisher authority, author expertise, and outlet track record — assessed as a prior, not a determinant.

45%
Evidence Alignment

Every factual claim verified against independent sources. Supporting and opposing evidence gathered. Cherry-picking detected.

35%
Completeness

What is missing. Critical omissions and context gaps identified and named — the form of misinformation most tools cannot see.

Scores are reported in categorical bands — Strong, Solid, Mixed, Weak — with confidence intervals. No false precision. The score describes the credibility of the evidentiary record. The reader remains the judge.

Differentiators

What Deyeken builds that no other tool does.

Living author profiles — credibility deepens as more of an author's work is analysed
Living publisher profiles — institutional assessment with editorial standards, bias factors, fact-checking record
Private pre-publication mode — authors check their own work before it is published
One-click integration — Safari extension and Apple Share sheet; no separate workflow
Real-time pipeline visibility — progress shown as each stage resolves, not a black-box verdict
Community sharing — analyses shared across X, LinkedIn, Bluesky, Mail, Messages
Model-agnostic — runs across Claude, OpenAI, and Gemini model families
Public registry — deyeken.ai publishes analyses by identifiable registered users

It works today.

The app runs on macOS. The public registry is live and browsable. Real analyses of real articles, published by real users. The methodology is patent pending.

Browse the registry → News analyses Opinion analyses Politics & policy

Abstract

"Deyeken gives every individual on-demand, transparent credibility analysis of anything they read — every claim checked against external evidence, every omission named, every score explained. Not verdicts handed down by a platform, but the reader's own right to judge, restored."

Trust in mass media has reached historic lows, with just 28% of U.S. adults expressing confidence in the institutions once responsible for informing public life. This collapse is not a failure of individual critical thinking — it is the predictable outcome of structural forces that systematically dismantled the credibility infrastructure that once operated on the public's behalf.

What was lost was not simply trust in individual outlets. It was the editorial infrastructure itself: the fact-checking desks, editorial standards, and retraction processes that translated raw information into credible knowledge. Technology democratised content creation and distribution but left credibility assessment entirely behind. And now the same technology that accelerated the problem — artificial intelligence — makes a solution possible.

Deyeken is a direct response to this structural gap. It provides individuals with on-demand credibility analysis of any textual content of their choosing — not content pre-selected by a platform, not verdicts handed down without reasoning, but transparent analysis that preserves the individual's right to judge. Every score comes with the evidence behind it. Every claim is verified against external sources. Every gap in the evidentiary record is named.

Checking access…

D'ye ken?

Scots for "Do you know?" — now you have the tools to find out.

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