Abstract
Previous work on social power modelling from linguistic cues has
been limited by the range of available data. We introduce a new corpus of dialogues,
elicited in a controlled experimental setting where participant roles were
manipulated to generate a perceived difference in social power. Initial results
demonstrate successful differentiation of upwards, downwards, and level communications, using a classifier built on a small set of stylistic features.
been limited by the range of available data. We introduce a new corpus of dialogues,
elicited in a controlled experimental setting where participant roles were
manipulated to generate a perceived difference in social power. Initial results
demonstrate successful differentiation of upwards, downwards, and level communications, using a classifier built on a small set of stylistic features.
| Original language | English |
|---|---|
| Pages (from-to) | 9 - 26 |
| Journal | International Journal of Computational Linguistics and Applications |
| Volume | 6 |
| Issue number | 1 |
| Publication status | Published - 1 Jun 2015 |
| Event | 16th International Conference on Intelligent Text Processing and Computational Linguistics - Egypt, Cairo, Egypt Duration: 14 Apr 2015 → 20 Apr 2015 |
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Profiles
Adam Joinson
- Management - Professor
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Information, Decisions & Operations
- Centre for Business, Organisations and Society (CBOS)
- Applied Digital Behaviour Lab
- EPSRC Centre for Doctoral Training in Cyber Security
Person: Research & Teaching
Cite this
Cotterill, R., Muir, K., Joinson, A., & Dewdney, N. (2015). Identifying Linguistic Correlates of Power. International Journal of Computational Linguistics and Applications, 6(1), 9 - 26. http://www.gelbukh.com/ijcla/2015-1/