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Negotiation and Conflict Management Research, 1(3):263-281, 2008. Linguistic style matching and negotiation outcome.

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Journal of Language and Social Psychology, 29(1):24-54, Mar 2010. The psychological meaning of words: LIWC and computerized text analysis methods. Unsupervised modeling of Twitter conversations. International AAAI Conference on Weblogs and Social Media, 2010. Characterizing microblogs with topic models. Linguistic Inquiry and Word Count (LIWC): A computerized text analysis program. Language variation on internet relay chat: A social network approach. Journal of Language and Social Psychology, 2002. Linguistic style matching in social interaction. Improving gender classification of blog authors. Journal of the American Statistical Association, 58(302):275-309, Jun 1963. Social network and social class: Toward an integrated sociolinguistic model. Interview: Research on Its Anatomy and Structure. Surface form and memory in question answering. Automatically categorizing written texts by author gender. Language differences and metadata features on Twitter. Why we twitter: understanding microblogging usage and communities. Beyond microblogging: Conversation and collaboration via twitter. In Contexts of accommodation: developments in applied sociolinguistics. Models of reactions to changes in nonverbal immediacy. Language style matching as a predictor of social dynamics in small groups. Accommodating a new frontier: The context of law enforcement. Accommodation theory: Communication, context, and consequences. In Engaging theories in interpersonal communication: multiple perspectives. Predicting tie strength with social media. A latent variable model for geographic lexical variation. An empirical study on learning to rank of tweets. Journal of Experimental Social Psychology, 9(4):277-284, 1973. Self-disclosure reciprocity, liking and the deviant. Dominance and accommodation in the conversational behavior of same- and mixed-gender dyads. Everyone's an influencer: Quantifying influence on Twitter. Joint Annual Meeting of the Interface and the Classification Society of North America, 2005. We also explore the potential relation between stylistic influence and network features commonly associated with social status. This is the first time the hypothesis of linguistic style accommodation has been examined (and verified) in a large scale, real world setting.įurthermore, when investigating concepts such as stylistic influence and symmetry of accommodation, we discover a complexity of the phenomenon which was never observed before. We apply it to a large Twitter conversational dataset specifically developed for this task. To investigate this, we develop a probabilistic framework that can model accommodation and measure its effects. Given such constraints, it is not clear a priori whether accommodation is robust enough to occur given the constraints of this new environment. 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. Undoubtedly, this setting is unlike any other in which accommodation was observed and, thus, challenging to the theory. Here we address this phenomenon in the context of Twitter conversations. In its almost forty years of existence, this theory has been empirically supported exclusively through small-scale or controlled laboratory studies. 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.






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