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 |
Fingerprint
Dive into the research topics of 'Identifying Linguistic Correlates of Power'. Together they form a unique fingerprint.Profiles
-
Adam Joinson
- Management - Professor
- Information, Decisions & Operations
- Applied Digital Behaviour Lab
- EPSRC Centre for Doctoral Training in Cyber Security
- Institute for Digital Security and Behaviour (IDSB)
Person: Research & Teaching, Core staff