Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Authorship Attribution
Unsupervised modeling of Twitter conversations
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Improving gender classification of blog authors
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
A latent variable model for geographic lexical variation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
An empirical study on learning to rank of tweets
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Everyone's an influencer: quantifying influence on twitter
Proceedings of the fourth ACM international conference on Web search and data mining
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
Language use as a reflection of socialization in online communities
LSM '11 Proceedings of the Workshop on Languages in Social Media
What's in a hashtag?: content based prediction of the spread of ideas in microblogging communities
Proceedings of the fifth ACM international conference on Web search and data mining
Of joy and gender: emotional expression in online social networks
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
Data-driven response generation in social media
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Echoes of power: language effects and power differences in social interaction
Proceedings of the 21st international conference on World Wide Web
Open domain event extraction from twitter
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Acoustic-prosodic entrainment and social behavior
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Predicting responses to microblog posts
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Self-disclosure and relationship strength in Twitter conversations
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Information-theoretic measures of influence based on content dynamics
Proceedings of the sixth ACM international conference on Web search and data mining
Estimating sharer reputation via social data calibration
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
No country for old members: user lifecycle and linguistic change in online communities
Proceedings of the 22nd international conference on World Wide Web
What kind of #conversation is Twitter? Mining #psycholinguistic cues for emergency coordination
Computers in Human Behavior
Computational perspectives on social phenomena at global scales
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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The psycholinguistic theory of communication accommodation accounts for the general observation that participants in conversations tend to converge to one another's communicative behavior: they coordinate in a variety of dimensions including choice of words, syntax, utterance length, pitch and gestures. In its almost forty years of existence, this theory has been empirically supported exclusively through small-scale or controlled laboratory studies. Here we address this phenomenon in the context of Twitter conversations. Undoubtedly, this setting is unlike any other in which accommodation was observed and, thus, challenging to the theory. Its novelty comes not only from its size, but also from the non real-time nature of conversations, from the 140 character length restriction, from the wide variety of social relation types, and from a design that was initially not geared towards conversation at all. Given such constraints, it is not clear a priori whether accommodation is robust enough to occur given the constraints of this new environment. To investigate this, we develop a probabilistic framework that can model accommodation and measure its effects. We apply it to a large Twitter conversational dataset specifically developed for this task. This is the first time the hypothesis of linguistic style accommodation has been examined (and verified) in a large scale, real world setting. Furthermore, when investigating concepts such as stylistic influence and symmetry of accommodation, we discover a complexity of the phenomenon which was never observed before. We also explore the potential relation between stylistic influence and network features commonly associated with social status.