YouTube Debate Transcript & Argument Map

Turn public, captioned YouTube debates into structured research—not an opaque “winner” claim.

This Actor extracts available captions and produces timestamped chapters, core topics, claims that need fact-checking, and a transparent heuristic scorecard for the proposition and opposition.

Who it is for

• debate societies, educators, and students
• journalists and researchers
• communications and public-affairs teams
• podcast and news-analysis workflows

What it returns

For each analyzable video:

• clean caption-backed transcript statistics
• timestamped topic chapters
• recurring topic terms
• timestamped evidence/citation claims to verify
• proposition/opposition scorecard covering claim clarity, evidence-specificity, and rebuttal coverage
• a cautious evidence_weighted_edge and confidence label

Important: Scores are automated, transparent transcript heuristics. They do not determine factual truth, audience voting, or an authoritative debate winner. Side attribution is inferred from captions and can be incomplete.

Input

• video_urls — public YouTube video URLs or video IDs. Videos must have accessible captions.
• languages — preferred captions, e.g. ["en", "en-GB"].
• topic_window_seconds — chapter granularity; default 300 seconds.
• max_videos — safety cap of up to 10 videos per run.

Example

{
  "video_urls": ["https://www.youtube.com/watch?v=yRJBZrlT2kw"],
  "languages": ["en"],
  "topic_window_seconds": 300,
  "max_videos": 1
}

Use responsibly

Use this Actor for research and editorial assistance. Check source claims before publication, respect YouTube’s terms and creators’ rights, and obtain any permissions required for your use case. Videos without public captions cannot be analyzed.

Pricing event

One successfully extracted and analyzed public captioned debate video.