Abstract
We study the perception of situational power in written dialogs in the context of organizational emails and contrast it to the power attributed by organizational hierarchy. We analyze various correlates of the perception of power in the dialog structure and language use by participants in the dialog. We also present an SVM-based machine learning system using dialog structure and lexical features to predict persons with situational power in a given communication thread.
| Original language | English |
|---|---|
| Pages | 2259-2274 |
| Number of pages | 16 |
| State | Published - 2012 |
| Event | 24th International Conference on Computational Linguistics, COLING 2012 - Mumbai, India Duration: Dec 8 2012 → Dec 15 2012 |
Conference
| Conference | 24th International Conference on Computational Linguistics, COLING 2012 |
|---|---|
| Country/Territory | India |
| City | Mumbai |
| Period | 12/8/12 → 12/15/12 |
Keywords
- Computational sociolinguistics
- Dialog
- Dialog acts
- Power analysis
- Social networks
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