English Speed Networking Conversational Transcripts LDC2016T16
English Speed Networking Conversational Transcripts was developed at the University of the West of England and contains 388 transcripts of English face-to-face and instant messaging conversations about business ideas collected in 2014 and 2015 from participants (undergraduate students) playing different power roles.
This corpus was created to examine communication accommodation, specifically, the ways in which an individual's linguistic style, or how an individual communicates, is affected by social power and personality. The data was collected in two studies. In the first study, 40 participants had a series of paired five minute face-to-face conversations playing either a high, low or neutral power role. The same procedure was followed in the second study except that participants discussed business ideas via instant messaging.
Cite this dataset as:
Muir, K.,
Joinson, A.,
Cotterill, R.,
Dewdney, N.,
2016.
English Speed Networking Conversational Transcripts LDC2016T16.
Linguistic Data Consortium.
Available from: https://doi.org/10.35111/eg86-k634.
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Creators
Kate Muir
University of Bath
Adam Joinson
University of Bath
Rachel Cotterill
University of Sheffield
Nigel Dewdney
University of Sheffield
Contributors
University of the West of England
Rights Holder
Trustees of the University of Pennsylvania
Rights Holder
Coverage
Collection date(s):
From January 2014 to April 2015
Documentation
Data collection method:
The face-to-face conversations were audio-recorded and transcribed verbatim. There are 139 transcripts of conversations between high and low power individuals and 63 transcripts of conversations between neutral power individuals. The instant messaging program automatically saved the transcripts of the messaging conversations; the transcripts were then retrieved and formatted for analysis. There are 85 transcripts of conversations between high and low power individuals and 101 transcripts of conversations between neutral power individuals. The transcripts were anonymized. Gender and age metadata are available where provided. All transcripts are presented as UTF-8 plain text files.
Funders
Unfunded
Publication details
Publication date: 15 July 2016
by: Linguistic Data Consortium
Version: 1
DOI: https://doi.org/10.35111/eg86-k634
URL for this record: https://researchdata.bath.ac.uk/id/eprint/250
Related papers and books
Jones, S., Cotterill, R., Dewdney, N., Muir, K., and Joinson, A., 2014. Finding Zelig in Text: A Measure for Normalising Linguistic Accommodation. In: 25th International Conference on Computational Linguistics. 455-465. Available from: https://researchportal.bath.ac.uk/en/publications/finding-zelig-in-text-a-measure-for-normalising-linguistic-accomm.
Muir, K., Joinson, A., Cotterill, R., and Dewdney, N., 2016. Characterizing the Linguistic Chameleon: Personal and Social Correlates of Linguistic Style Accommodation. Human Communication Research, 42(3), 462-484. Available from: https://doi.org/10.1111/hcre.12083.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Kate Muir
Faculties and Schools
School of Management
