October 2016

The Conversational Rollercoaster

Read the Discourse Studies paper here:

Albert, S., Albury, C., Alexander, M., Harris, M. T., Hofstetter, E., B., E. J., & Stokoe, E. (2018). The conversational rollercoaster: Conversation analysis and the public science of talk. Discourse Studies20(3), 397–424. https://doi.org/10.1177/1461445618754571

bannerThe Conversational Rollercoaster is a new public ‘demo’ format for ethnomethodology and conversation analysis. I developed the format for New Scientist Live in collaboration with Loughborough and the CARM group in order to make it easier to explain EM/CA research in a public exhibition context. The idea is that you can take a live conversation – in this case provided by The People Speak‘s pop-up talk-show Talkaoke, and subject it to instant EM/CA analysis. What’s more, you can involve the public as analysts in a variety of activities – ‘being the data’ on the Talkaoke table, spotting interactional phenomena, gathering data, transcribing, analyzing and reporting findings on the ‘results wall’.

Ann Doehring
‘s very nice drawing of the process (in the tweet above) provides a useful outline of how it works – and how it can be adapted for other contexts. All the software, data, photos and other materials are available for re-use and re-development.

A full how-to blog post for those wishing to try running the format themselves will soon be available on my blog. Until then, check the blog post at https://rolsi.net/ for a description of the event.

Thanks to: 

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The Conversation Analytic British National Corpus (CABNC)

captureThe CABNC corpus is a open-licensed project to create a detailed conversation analytic (CA) re-transcription of naturalistic conversations from a subcorpus of the British National Corpus amounting to around 4.2 million words in 1436 separate conversations.

The project aims to produce transcripts usable for both computational linguistics (CL) and detailed qualitative analysis, and invites CA transcribers to use (and re-transcribe) the data, then to re-submit improved transcripts to improve the accuracy of the corpus incrementally over time. The next phase of the project also involves creating a new transcription format: CHAT-CA-lite based on a best-possible compromise between Jeffersonian and the CHILDES project’s machine-readable, XML-transformable CHAT transcription format.

The project has been supported by Bielefeld University, in collaboration with JP de Ruiter and Laura de Ruiter and draws on audio data from the Audio BNC.

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