Trust in news has fallen as platforms reward speed and partisan framing, and readers have few tools for seeing the underlying facts next to the competing interpretations.
Verity launched in 2023 to make that range visible. Each day, machine-learning systems cluster coverage from over 5,000 traditional and alternative sources. The systems draft a first pass that separates corroborated facts from the strongest arguments on each side. Human editors review every story before publication. Our core values are simple: AI can map a media ecosystem, but it cannot be allowed to publish, and it cannot collapse disagreement into a single “official” line.
In September 2025, we expanded those values to pair with a public-literacy mission and launched the Verity Media Lab, a three-month program for undergraduates, recent graduates, and early-career professionals. Too many young professionals consume news inside algorithmic feeds without practice in narrative analysis. Weekly sessions would train participants to evaluate framing, track how stories travel across platforms, and practice digital engagement with an emphasis on Reddit, where Verity has built a strong, active readership.
We set two targets for ourselves in 2025: 1 million website page views by the end of 2025, and to launch the Verity Media Lab as a pathway that spreads media literacy while extending Verity’s reporting into the communities where narratives actually move.
Success would mean more than traffic and organic views: the same habit on the site and in the lab—facts first, interpretations in view—and an independent test of whether that page still reads as balanced.
Our editorial process was built around a constraint: models may cluster and draft, but not publish. Before a fact enters a story, it must survive multi-source verification, and competing perspectives must be present. Every story is edited by people who can reject the machine draft.
That rule shaped three main reader tools:
We share these stories on platforms where interpretation moves fastest, such as X, Facebook, and especially Reddit, the most self-governing and least advertiser-friendly environment on the internet. Reddit was a teaching environment, not a traffic tap, and the Verity Media Lab turned that into a curriculum.
The first cohort launched in September 2025, focused on media-ecosystem basics, narrative analysis, public sentiment, and platform-specific engagement. The exercise was simple: hold a story next to its variants and say what is fact, what is narrative framing, and what is missing. On Reddit, participants placed the same Verity story into ideologically opposed communities, from r/Conservative to r/anticapitalism, then analyzed the response. Same verified facts, two completely different receptions.
The program was kept small, and then extended into 2026 spring, summer, and soon a fall cohort.
Two risks were treated as design problems. The first was automated bias: a model trained on a lopsided source pool can tilt “neutrality.” To counter, we implemented mandatory multi-source verification and narrative diversity for each story, and a human veto to ensure these measures were followed.
The second was the empty “community.” A volunteer program that only asks people to promote the brand teaches marketing, not literacy, so the mission was inverted. Volunteers learn the method first; sharing Verity became a byproduct of being able to explain how a narrative was built.
A third risk showed up in practice. A 17-item survey of the 22-person 2026 summer cohort made the platform cost of Reddit visible. 91% hit platform enforcement, while 41% were permanently banned. When asked what limited their reach, 60% of answers named account standing and automated filters. Interns were accused of being AI bots, and Verity dismissed outright as AI-generated. Building AI responsibly, we learned, does not by itself buy public trust in it.
The lesson was operational, not rhetorical. Karma-building now comes before posting, with a participation target instead of a quota. Cadence is capped per subreddit, and multi-platform is the default rather than the fallback.
What the public sees is a site and a feed. What the team built is a loop: thousands of sources in, clustered claims out, human judgment on the record, and a volunteer bench that has now felt—sometimes by getting shut out—how a true story can still fail as a social object.
In 2025, Verity recorded 1.2 million page views against a 1 million target, and already 936,500 views by July 2026. Average site visit time was 10 minutes and 18 seconds, and social platforms delivered 31M views in 2025, 44% from Reddit.
The media lab’s fall 2025 cohort (September-December), accounted for 1.7 million of those Reddit views. Seven spring 2026 volunteers reached 2.7M views, and 22 summer volunteers reached 2.9M views, showing that standing and explanation matter more than volume of a total of Verity Media Lab (Sept 2025–Aug 2026): 7,427,876 million views.
Main Reddit (2022–2026): 38,479,400
Verity Media Lab (Sept 2025–Aug 2026): 7,427,876
Grand Total: 45,907,276
In our largest cohort, 22 of 29 completed. Fall 2026 drew 49 applications.
An independent review landed on the journalism itself. In July 2025 AllSides completed a Media Bias Audit and awarded Verity Balance Certification for 2025–2026.
These figures show that a slower, multi-perspective format can hold attention, but the stronger signal is behavioral. Readers stay long enough to move from headline to argument map. Volunteers kept joining after the first cohort, the upcoming fall 2026 cohort receiving 49 applicants, and Vernessa Berharry and Daisy Alatorre-Cervantes, our only three-term participants, have even grown to become mentors in the program.
Volunteer Daijah Scott described her experience in working terms, saying "It feels like I am educating the public rather than persuading." Reddit taught us the harder lesson: people will reject the reading if they think a model wrote the voice.
"Instead of giving up, I started spending more time interacting with people, commenting on discussions, and building trust before sharing news articles." — Ganna Zgama
The proven impact is a verifiable, multi-perspective record, not automatic trust in an AI-assisted voice. Balance can be audited, but trust in the voice still has to be earned in public and subreddits have shown that.
