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Gov AI

Counter-disinformation with transparent, human-approved responses

Gov AI detects check-worthy claims across social, messaging, press and broadcast lanes, groups them into narratives and claim families, and traces where they started and how they spread. Analysts decide whether to respond or hold, a person approves every response, and it is published openly from the official account. The platform never creates fake accounts, runs covert bots or amplifies content inauthentically.

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Claims, families andtriageCoordination analysisResponse stresstestingNarratives and originsFact-check deskTransparent officialresponsesCounter-disinformationPART OF THE GOV AI PLATFORM
Capabilities

What counter-disinformation gives your team

Claims, families and triage

Claims are raised from collected posts, messages, articles and broadcast transcripts, grouped into families of the same claim in different wording, and triaged to respond or hold with the reasoning recorded.

  • Claims heard on radio and television
  • Claim families across wording variants
  • Respond-or-hold triage

Narratives and origins

Narratives are tracked across lanes with their growth over time, and a change radar shows how wording shifted after an official reply. Origin tracing orders near-identical posts by time to show the earliest collected appearance, the spread, platform hops and wording drift, with the limits of the collection stated.

Coordination analysis

Accounts that reuse wording, post in lockstep or amplify together are grouped and scored, and an analyst rules on each cluster. Writing-style comparison across accounts is shown as an automated inference, never as proof of identity.

Fact-check desk

Claims are checked against retained sources. A citation dependency map shows which reports and replies point back to the same material, and the recycled media inspector shows when the same image or video reappears with a new caption or a new date.

Response stress testing

Before release, the stress lab binds each sentence of a draft to the source passage behind it and flags figures, qualifiers, negations and quotations that could lose meaning when excerpted. After publication, an observation lab compares collection in equal windows before and after, without claiming causation.

Transparent official responses

Responses are drafted from the evidence, routed through an approval policy and published from the organization’s own attributed accounts. An automated run can collect, detect and draft at volume, but nothing reaches the public without a person’s approval.

  • Drafts queued for approval, never auto-published
  • Two- or three-person approval policies
  • Draft, approval and publication in the audit trail
How it works

From collection to decision

  1. 01DetectClaim detection and keyword rules surface check-worthy content across social, messaging, press and broadcast lanes.
  2. 02GroupClaims join families and narratives so analysts follow a story rather than thousands of separate posts.
  3. 03TraceOrigin, coordination and citation analysis show where a claim started, who carried it and what it rests on.
  4. 04VerifyThe fact-check desk tests the claim against retained sources and records the finding.
  5. 05DecideAnalysts triage each claim to respond or hold, and drafts are stress-tested against their sources.
  6. 06RespondA person approves the response, which is published openly from the official account and recorded in the audit trail.
In the field

Where it is used

FAQ

Questions buyers ask

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