Every day, news articles shape public opinion, influence markets, and set the agenda for political conversation. But not every claim in the news is accurate. And by the time a misleading narrative takes hold, the damage to a brand, institution, or public figure can be significant and lasting.
To address this growing challenge, Cyabra announces the launch of News Claims Analysis, a new capability within Cyabra’s solution that automatically extracts and verifies factual claims from news articles at scale.
The Problem with Manual Monitoring
Organizations today monitor enormous volumes of news coverage and their impact on social discourse. PR teams track brand mentions across hundreds of outlets. Government agencies follow evolving narratives across multiple languages and markets. Intelligence analysts review article after article, claim after claim, looking for the ones that don’t hold up.
That process is slow, inconsistent, and increasingly untenable. A single breaking story can generate dozens of articles within hours, each containing multiple factual claims that require individual review. By the time a team flags a false or misleading claim, it may already have been cited, shared, and amplified far beyond the original source, causing mayhem, civil unrest, or enterprise revenue loss. The problem consists: the news cycle doesn’t wait, and manual review can’t keep pace with the huge impact on public opinion.
Introducing News Claims Analysis
Cyabra’s News Claims Analysis brings the same evidence-led rigor that organizations rely on for social media monitoring to the world of news. Using AI-powered claim extraction and cross-referencing against external web sources, the feature processes news articles and returns a structured, evidence-backed verdict on every factual claim they contain.
Each claim is returned with one of three verdicts:
- Verified: supported by multiple external sources
- False: contradicted by external sources
- Unverified: no sources found to confirm or deny the claim
Critically, every verdict comes with supporting references: direct links to the external sources used, with relevant excerpts. There is no black box. Teams can see exactly what the analysis is based on and make informed decisions from there. As part of Cyabra’s comprehensive solution, News Claims Analysis is as useful for real-time crisis response as it is for large-scale media monitoring.
“Misleading narratives in the news don’t spread on their own,” said Dan Brahmy, CEO of Cyabra. “They get picked up, cited, and repeated until they become part of the public record. Cyabra’s News Claims Analysis gives organizations the ability to identify those claims early, understand what the evidence actually shows, and act before narratives turn viral and cause massive damage.”
Below: a claim by “Natural News” being refuted by Cyabra’s News Claims Analysis:
Built for the Teams That Need It Most
News Claims Analysis was built to serve two distinct but connected needs:
For PR teams and brand protection professionals, it provides continuous visibility into how their brands, products, and executives are being represented in the press, and whether those representations hold up to scrutiny. A misleading claim in a high-traffic outlet can ripple outward fast. Catching it early, with evidence in hand, makes the difference between a managed response and a reactive crisis. This is particularly crucial when false narratives are spread into social media, leading to outrage, disgruntlement, and even boycotts.
For government agencies and public sector organizations, it addresses the challenge of tracking manipulated and coordinated narratives across the media landscape at scale. Unverified news sites could be the work of malicious foreign actors as part of their efforts to erode trust in institutions, and even well-respected news venues can make mistakes. News narratives that go unverified can erode public trust, complicate policy communication, and inform decisions based on inaccurate information. News Claims Analysis brings structure and evidence to a process that has traditionally relied on manual effort.
In both cases, the goal is the same: to move from reaction to readiness.
Full-Spectrum Coverage: Social Media and News, Together
Cyabra’s News Claims Analysis is part of Cyabra’s comprehensive solution, enabling organizations to analyze what is happening on social media, track coordinated inauthentic behavior, narrative spread, and account authenticity across platforms. News Claims Analysis extends that coverage to the press, closing a critical gap in the information picture.
Misleading narratives rarely live in one place. They emerge on social media, get picked up by news outlets, and then recirculate back online with the added authority of a published source. Now, organizations can monitor both sides of that cycle within a single platform, connecting what is being amplified online with what is being reported in the press.
That full-spectrum view is what allows teams to understand not just what is being said, but where it started, how it is spreading, and whether it is accurate.
Analyze What the News Is Actually Saying
News Claims Analysis is now available as part of Cyabra’s solution, with support for single-URL submission and bulk CSV upload. Results include claim-level verdicts, source references, political bias detection for source websites, and full CSV export.
To see News Claims Analysis in action, contact our team.
