VideoVFY methodology at a glance
VideoVFY turns an online video into a clear verification report combining the central claims, relevant sources, factual verdicts, corrections and an overall reliability estimate.
| Video analysis | Video content and available transcript are used to identify important factual information. |
| Maximum duration | 30 minutes. |
| Claim limits | Up to 5 claims for 0–10 minutes, 8 for over 10–20 minutes, and 10 for over 20–30 minutes. |
| Evidence research | Current-web research for supporting and contradicting evidence. |
| Sources displayed | Up to 3 relevant, clickable sources per claim. |
| Public verdicts | Probably accurate, Needs context, Probably inaccurate, Needs verification and Unverifiable. |
| Overall score | Consistent calculation based on claim verdicts and confidence. |
| Validated languages | English and French. |
What does VideoVFY analyze?
VideoVFY analyzes the factual information presented in an online video: statements, numbers, dates, names, quotations, public events, comparisons and other claims that can be checked against current evidence.
Depending on the platform, the analysis can use available captions or an audio transcript. Reading the content in context helps preserve the meaning of each claim before it is compared with relevant sources.
The VFY-5 model: five levels of video fact-checking
VFY-5 is the practical framework used across VideoVFY to explain the journey from understanding a video to verifying its claims. Its five phases describe the user-facing method; the detailed pipeline below explains the technical operations that implement it.
Understand the video, its subject and the information presented to the viewer.
Identify the overall message while preserving important context.
Isolate important dates, figures, quotations, events and other checkable claims.
Compare each selected claim with relevant current sources and inspect supporting or contradicting evidence.
Present verdicts, corrections, source links and an overall reliability score.
The detailed VideoVFY analysis pipeline
Twelve technical operations support the five VFY-5 phases. Separating claim selection, evidence research, source validation and scoring makes the resulting video analysis explainable at claim level.
Retrieve the transcript or other usable text associated with the video URL.
Read the transcript as a whole to identify the subject, entities, chronology and main factual message.
Isolate distinct statements that matter to the video and can be compared with external evidence.
Fix its central factual meaning before research so the proposition does not drift while evidence is gathered.
Generate current research for the frozen claims instead of relying only on stored model knowledge.
Look for credible material that confirms, challenges or changes the context of each claim.
Prioritize official and primary evidence when available, followed by recognized specialist organizations and evidence-based reporting.
Compare proposed references with URLs actually returned during research and discard unanchored URLs.
Give each claim a cautious public verdict and an estimate of confidence in that classification.
State what the evidence supports, contradicts or requires the viewer to qualify.
Calculate the final score from claim-level verdicts and confidence using a deterministic aggregation.
Display the summary, claims, verdicts, confidence, explanations, sources and overall estimate.
How are factual claims selected and frozen?
A factual claim is a proposition precise enough to compare with external evidence. Dates, quantities, identities, events, quotations, organizations and causal statements are common examples. Opinions and predictions can provide context but are not automatically treated as established facts.
VideoVFY favors claims that are factual, important to the video’s message, distinct and externally verifiable. A claim may be lightly reformulated so it can stand alone, but its central proposition must remain unchanged.
Why freeze claims before research?
Freezing creates a stable verification target. The system searches for evidence about the claim it extracted rather than silently rewriting the claim to fit evidence found later.
Up to five selected claims.
Up to eight selected claims.
Up to ten selected claims.
Each selected claim is presented with its verdict, explanation, confidence and available sources.
How does VideoVFY search for and validate sources?
VideoVFY searches the current web after claims have been selected and frozen. For each claim, the research stage can seek evidence that confirms it, contradicts it or supplies necessary context.
Official documents, direct statements, original research and primary data are preferred when relevant.
A source must address the same event, date, entity, definition and factual scope.
Recent evidence matters for changing events, figures and time-sensitive claims.
Primary evidence may be combined with specialist reporting that explains the context.
URL anchoring
Source URLs proposed during analysis are compared with URLs actually returned by the research layer. References that cannot be anchored are rejected. Up to three sources can then be displayed beneath each claim.
What verdict can a claim receive?
| Public verdict | Meaning | Evidence pattern |
|---|---|---|
| Probably accurate | Available evidence broadly supports the factual claim. | Relevant sources converge on the same central fact and context. |
| Needs context | A supported element requires qualification, precision or missing context. | A number, timeframe, scope or implication is incomplete or overstated. |
| Probably inaccurate | Available evidence materially contradicts the claim. | Credible sources establish a conflicting factual account. |
| Needs verification | The evidence does not justify a stronger conclusion. | Sources are limited, conflicting, recent or insufficiently specific. |
| Unverifiable | No usable evidence allows adequate assessment. | The claim is vague, private, inaccessible or lacks checkable material. |
What does claim-level confidence mean?
Confidence indicates how strongly the analysis supports the verdict assigned to an individual claim. It reflects the clarity of the available evidence, consistency of the context and strength of the support or contradiction.
This claim-level confidence is distinct from the overall video reliability score, which combines the results across the selected claims.
How are explanations and corrections produced?
The correction is a short generated synthesis of the evidence retained for the claim. It can confirm the central fact, identify a contradiction, qualify an imprecise statement or explain why evidence remains insufficient.
It is not presented as a direct quotation. The linked references remain the inspection layer, allowing users to compare the explanation with the underlying material.
How is the overall VideoVFY reliability score calculated?
The overall reliability score is calculated consistently from the verdict and confidence associated with each selected claim. Claims supported by strong evidence contribute positively, while contradicted or uncertain claims lead to a lower overall assessment.
Source quality and context inform the claim-level verdicts and confidence before the final result is calculated. The score therefore summarizes the factual analysis while the linked claims, corrections and sources explain the result.
Likely reliable. Selected claims are broadly supported by the analysis.
Needs context. Qualification, partial support or uncertainty requires claim-level reading.
Potentially unreliable. One or more claims are materially contradicted or significantly weaken estimated reliability.
Case study: checking claims about AI-generated scam ads
On August 14, 2026, VideoVFY analyzed the English-language DW Fact Check video “How to spot fake AI ads selling unreal products”. The test exercised the full visible workflow: summary, claim extraction, current-web research, verdicts, confidence, corrections, linked sources and overall scoring.
Observed result
Three claims were classified as probably accurate and two as needing context because their central point was supported but their wording was broader than the evidence.
The capability was supported; “single prompt” was treated as a simplification.
Deceptive listings were supported, but the exact removal timeframe was not universal.
Consumer-protection and security sources documented malicious advertising and malware delivery consistent with the claim.
The method is a useful warning signal but does not prove that every listing is fraudulent.
The result linked the claim to documented platform-enforcement challenges.
Supported platforms, duration and languages
VideoVFY is designed to process accessible links from platforms including YouTube, TikTok, Instagram and Facebook. The URL and content required for analysis must remain technically accessible.
The current maximum duration is 30 minutes. English and French have undergone controlled functional testing, and the pipeline preserves the transcript language when possible during claim extraction, research and correction generation.
How has the methodology been tested?
Development includes functional tests and manual review across short and longer videos, English and French content, different claim counts, recent events, numerical claims, technical topics and the complete range of public verdicts.
Accurate, partial, inaccurate, uncertain and insufficiently supported statements.
Supporting and contradicting searches, source selection and URL anchoring.
Verdict mapping, confidence, corrections, source display and score thresholds.
Approximately 100 claims adapted from an external benchmark to identify pipeline failures.
These checks document product behavior and help detect regressions. Performance claims are not extrapolated from a single case.
How to get the most reliable results
VideoVFY delivers its clearest analysis when the submitted video is accessible, its factual claims are specific and relevant evidence is available. Clear audio, accurate context and well-documented sources all help strengthen the report.
Dates, figures, quotations, identities and documented events provide strong targets for verification.
Primary documents, official statements and specialist reporting help establish the correct context.
Claim-level verdicts, corrections and source links make the reasoning easy to inspect.
Sensitive health, financial, legal or public-safety decisions benefit from reviewing the cited evidence directly.
Additional product guidance is available in the VideoVFY overview.
Data and technical infrastructure
The pipeline uses specialized services for content retrieval, transcription where required, language analysis and current-web research. This public methodology documents the functions, rules and controls that shape the visible result.
Providers, deployment parameters, prompts and implementation constants remain part of the technical system. Data-processing information is available in the privacy policy in French.
Methodology history
August 22, 2026
Aligned the VFY-5 user-facing framework with the detailed technical pipeline and clarified the role of claims, current sources, corrections and reliability scoring.
August 14, 2026
Documented the technical analysis pipeline, current-web research, source validation, verdicts, confidence, scoring and an English case study.
July 3, 2026
Initial publication of the English VideoVFY methodology page.
The page is updated when a substantive change affects the documented pipeline, calculation or result format.
Report a questionable verdict or source
If a verdict, correction or source appears incorrect, send the video URL, affected claim and relevant reference to contact@videovfy.com. Reports help identify source and interpretation issues for review.
Frequently asked questions about the VideoVFY methodology
How does VideoVFY analyze a video?
VideoVFY analyzes the video’s factual content, identifies important claims, compares them with current reliable sources, explains corrections and calculates an overall reliability score.
What is the VFY-5 model?
VFY-5 summarizes the VideoVFY methodology in five phases: See, Summarize, Extract, Verify and Evaluate. Twelve technical operations implement those five phases.
How many claims and sources can VideoVFY analyze?
Up to five claims for videos up to 10 minutes, eight over 10 to 20 minutes and ten over 20 to 30 minutes. Up to three sources can be displayed per claim.
Does VideoVFY search the current web?
Yes. The research stage searches current evidence that may support, contradict or add context to each selected claim.
What does confidence mean?
Confidence describes how strongly the available evidence supports the verdict assigned to an individual claim. It is distinct from the overall reliability score.
How is the reliability score calculated?
It is calculated consistently from the verdict and confidence associated with each selected claim. The explanations and sources show how the assessment should be interpreted.
How does VideoVFY handle limited evidence?
VideoVFY distinguishes contradicted claims from claims that require additional verification or cannot yet be assessed confidently.