A computational approach to politeness with application to social factors
|A computational approach to politeness with application to social factors|
|Author(s)||Danescu-Niculescu-Mizil C., Sudhof M., Dan J., Leskovec J., Potts C.|
|Published in||ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference|
|Keyword(s)||Unknown (Extra: Computational approach, Computational framework, Human performance, Negative correlation, Preliminary analysis, Social factor, Syntactic features, Wikipedia, Computational linguistics)|
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A computational approach to politeness with application to social factors is a 2013 conference paper written in English by Danescu-Niculescu-Mizil C., Sudhof M., Dan J., Leskovec J., Potts C. and published in ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference.
We propose a computational framework for identifying linguistic aspects of politeness. Our starting point is a new corpus of requests annotated for politeness, which we use to evaluate aspects of politeness theory and to uncover new interactions between politeness markers and context. These findings guide our construction of a classifier with domain-independent lexical and syntactic features operationalizing key components of politeness theory, such as indirection, deference, impersonalization and modality. Our classifier achieves close to human performance and is effective across domains. We use our framework to study the relationship between politeness and social power, showing that polite Wikipedia editors are more likely to achieve high status through elections, but, once elevated, they become less polite. We see a similar negative correlation between politeness and power on Stack Exchange, where users at the top of the reputation scale are less polite than those at the bottom. Finally, we apply our classifier to a preliminary analysis of politeness variation by gender and community.
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