AI Editorial Disclosure
Last updated: November 2026 • Disclosure Version 1.1
1. Role of Artificial Intelligence
Taaza Talkies utilizes automated language models (including Google Gemini Flash architectures) as analytical assistants to process long-form public audio and video transcripts. We do not use generative AI to fabricate stories, simulate interviews, or produce speculative claims.
AI systems assist our editorial workflow in the following strictly bounded capacities:
- Structural Indexing: Identifying topical pivots, conversational friction, and notable questions within raw transcripts.
- Extracting Exact Citations: Locating direct verbatim statements and pairing them with exact millisecond timestamps.
- Clustering Public Sentiment: Categorizing public audience commentary into thematic perspectives without altering audience language.
Strict Anti-Hallucination Guardrails
Large language models are inherently prone to generative embellishment ("hallucination"). To eliminate this risk, Taaza Talkies enforces deterministic quote validation: every highlighted quotation must locate an exact fuzzy substring match in the underlying transcript with ≥85% character similarity before editorial publication. Unverified quotes are rejected by automated CI/CD assertion gates.
2. Multi-Point Story Verification & Scoring
Every published story on Taaza Talkies undergoes a multi-point verification protocol before public display. Stories require verified verbatim quote matching, programmatic timestamp alignment, speaker attribution checks, and an automated editorial quality score (scored out of 100). Published articles display their verified score badge directly in the card footer and story header.
3. Human Editorial Oversight & Corrections
Automated intelligence outputs are audited for factual accuracy, misattribution risks, and fair framing. If an error or inaccurate summary bypasses automated validation, readers and creators can trigger immediate review via our Corrections & Takedowns desk.