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DESCRIPTION:Presenter: Dr Daniel Turner\n\nThe ability to get quick\, affordable and accurate transcriptions of audio recordings from automated transcription services can make qualitative data from interviews and focus groups much easier to prepare for analysis. But it also has the potential to change how qualitative researchers see data\, and the scope of what can be included in qualitative research projects. It greatly expands the opportunities to collect more spoken-word material\, outside of formal settings\, as well as our own reflections and commentary. However\, there are also limitations and ethical considerations when using these machine learning and AI tools\, which should be fully considered as part of the reflexivity of our analytic approaches.
X-ALT-DESC;FMTTYPE=text/html:Presenter: Dr Daniel Turner<br><br>The ability to get quick, affordable and accurate transcriptions of audio recordings from automated transcription services can make qualitative data from interviews and focus groups much easier to prepare for analysis. But it also has the potential to change how qualitative researchers see data, and the scope of what can be included in qualitative research projects. It greatly expands the opportunities to collect more spoken-word material, outside of formal settings, as well as our own reflections and commentary. However, there are also limitations and ethical considerations when using these machine learning and AI tools, which should be fully considered as part of the reflexivity of our analytic approaches.
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SUMMARY:Automated transcription for qualitative research: Opportunities and cautions (RA 2023)
DTSTART;TZID=Pacific/Auckland:20231205T103000
DTEND;TZID=Pacific/Auckland:20231205T113000
DTSTAMP:20260408T124526Z
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LOCATION:https://us02web.zoom.us/j/83826752822?pwd=dWNabk1mTitPWW9hWnA3L250alRwZz09
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