Transcribing screen-capture data: the process of developing a transcription system for multi-modal text-based data
Transcription of audio data is widespread in qualitative research, with transcription of video data also becoming common. Online data is now being collected using screen-capture or video software, which then needs transcribing. This paper draws together literature on transcription of spoken interact...
Ausführliche Beschreibung
Autor*in: |
Meredith, Joanne [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Rechteinformationen: |
Nutzungsrecht: © 2015 Informa UK Limited, trading as Taylor & Francis Group 2015 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: International journal of social research methodology - Abingdon : Routledge, Taylor & Francis, 1998, 19(2016), 6, Seite 663-676 |
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Übergeordnetes Werk: |
volume:19 ; year:2016 ; number:6 ; pages:663-676 |
Links: |
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DOI / URN: |
10.1080/13645579.2015.1082291 |
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Transcription of audio data is widespread in qualitative research, with transcription of video data also becoming common. Online data is now being collected using screen-capture or video software, which then needs transcribing. This paper draws together literature on transcription of spoken interaction and highlights key transcription principles, namely reflecting the methodological approach, readability, accessibility, and usability. These principles provide a framework for developing a transcription system for multi-modal text-based data. The process of developing a transcription system for data from Facebook chat is described and reflected on. Key issues in the transcription of multi-modal text-based data are discussed, and examples provided of how these were overcome when developing the transcription system. |
abstractGer |
Transcription of audio data is widespread in qualitative research, with transcription of video data also becoming common. Online data is now being collected using screen-capture or video software, which then needs transcribing. This paper draws together literature on transcription of spoken interaction and highlights key transcription principles, namely reflecting the methodological approach, readability, accessibility, and usability. These principles provide a framework for developing a transcription system for multi-modal text-based data. The process of developing a transcription system for data from Facebook chat is described and reflected on. Key issues in the transcription of multi-modal text-based data are discussed, and examples provided of how these were overcome when developing the transcription system. |
abstract_unstemmed |
Transcription of audio data is widespread in qualitative research, with transcription of video data also becoming common. Online data is now being collected using screen-capture or video software, which then needs transcribing. This paper draws together literature on transcription of spoken interaction and highlights key transcription principles, namely reflecting the methodological approach, readability, accessibility, and usability. These principles provide a framework for developing a transcription system for multi-modal text-based data. The process of developing a transcription system for data from Facebook chat is described and reflected on. Key issues in the transcription of multi-modal text-based data are discussed, and examples provided of how these were overcome when developing the transcription system. |
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