Harjunpaa2020
| Harjunpaa2020 | |
|---|---|
| BibType | ARTICLE |
| Key | Harjunpaa2020 |
| Author(s) | Katariina Harjunpää, Suvi Kaikkonen |
| Title | Conversation analytic transcription – uncovering resources of social interaction |
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| Tag(s) | EMCA |
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| Year | 2020 |
| Language | English |
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| Journal | Tiro – The Journal of Professional Reporting and Transcription |
| Volume | |
| Number | 2/2020 |
| Pages | |
| URL | Link |
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Abstract
Many professional and scientific fields that involve representing talk as written text use more or less edited versions of the original, also known as verbatim transcriptions (Poland 1995). Verbatim transcriptions vary in accuracy, but several features of speech, such as “little words” (e.g. discourse particles such as “well”, “like”, “you know”), variations in volume, pace and pitch of talk as well as simultaneous talk, or embodied conduct, can be left unmarked. In this paper, we introduce conversation analytic (CA) transcription (Jefferson 1985, 2004; Hepburn & Bolden 2017), which rejects this type of editing and invests in capturing faithfully the details of how talk unfolds moment to moment. Here we demonstrate why researchers investigating talk-in-interaction find this way of transcribing invaluable for analysing audiovisual research data and for examining the resources that participants use to produce and interpret social action.
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