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A computational approach to politeness with application to social factors
Abstract We propose a computational framework for iWe 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.iteness variation by gender and community.
Abstractsub We propose a computational framework for iWe 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.iteness variation by gender and community.
Bibtextype inproceedings  +
Has author Cristian Danescu-Niculescu-Mizil + , Sudhof M. + , Dan J. + , Leskovec J. + , Potts C. +
Has extra keyword Computational approach + , Computational framework + , Human performance + , Negative correlation + , Preliminary analysis + , Social factor + , Syntactic features + , Wikipedia + , Computational linguistics +
Isbn 9781937284503  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 250–259  +
Published in ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference +
Title A computational approach to politeness with application to social factors +
Type conference paper  +
Volume 1  +
Year 2013 +
Creation dateThis property is a special property in this wiki. 6 November 2014 18:28:30  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 18:28:30  +
DateThis property is a special property in this wiki. 2013  +
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