Language Style Matching Predicts Relationship Initiation and Stability

By Molly Ireland, Richard B. Slatcher, Paul W. Eastwick, Lauren E. Scissors, Eli J. Finkel, James W. Pennebaker. 2011

500 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Social Psychology, Natural Language Processing

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Citations in the corpus

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog (2019, background): “We design several intrinsic reward functions based on the rich, interactive content of conversation, taking inspiration from the psychology of human conversation: 1) eliciting positive sentiment and transitions from negative to positive sentiment, due to the importance of emotion to creating a sense”
Human-centric Dialog Training via Offline Reinforcement Learning (2020, background): “Language style matching has been shown to be a strong predictor of relationship initiation and stability (Ireland et al., 2011).”
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task (2017, background): “Second, temporary changes, such as a romantic relationship (Ireland et al., 2011; Bowen et al., 2016), work collaboration (Tausczik, 2009; Gonzales et al.”
Chameleons in Imagined Conversations: A New Approach to Understanding Coordination of Linguistic Style in Dialogs (2011, methodology): “Coordination of function-word class has been previously documented in several settings (Niederhoffer and Pennebaker, 2002; Taylor and Thomas, 2008; Ireland et al., 2011; Gonzales et al., 2010), the largest-scale study being on Twitter (DanescuNiculescu-Mizil et al.”
Learning Language Games through Interaction (2016, background): “In the parlance of communication theory, the human accommodates the computer (Giles, 2008; Ireland et al., 2011).”
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems (2019, methodology): “Specifically, inspired by the effectiveness of sense of humor in creating solidarity [10], style matching for forming relationship stability and social cohesiveness [11, 12], and the importance of active listening through forming follow up questions [13], we propose metrics to capture sentiment, sem”
Convergence of speech rate in conversation predicts cooperation (2013, background): “The LSM results are surprising in view of other work (Gonzales et al., 2010; Ireland & Pennebaker, 2010; Ireland et al., 2011) suggesting that cooperation in several contexts (e.”
Echoes of power: language effects and power differences in social interaction (2011, methodology): “For consistency with prior work, we employed the nine LIWCderived categories [36] deemed to be processed by humans in a generally non-conscious fashion [25].”
Social Cues, Social Biases: Stereotypes in Annotations on People Images (2018, background): “After all, there is a good deal of empirical evidence that human communicators mimic one another’s linguistic styles (e.g., (Giles and Powesland 1997; Ireland et al. 2011)).”
The Construction of Emotion in Interactions, Relationships, and Cultures (2012, background): “…such as the Linguistic Inquiry and Word Count (LIWC; Pennebaker, Booth, & Francis, 2007), allow for a fast analysis of people’s use of emotion language in written or transcribed text and have shown the power of synchronization of interactions for relational development (e.g., Ireland et al., 2011).”
Creating Birds of Similar Feathers: Leveraging Similarity to Improve Teacher-Student Relationships and Academic Achievement. (2015, background): “…numerous correlational studies have identiﬁed real similarities between individuals in real relationships and have shown that these similarities correspond with improved relationship outcomes (e.g., Chen, Luo, Yue, Xu, & Zhaoyang, 2009; Gonzaga, Campos, & Bradbury, 2007; Ireland et al., 2011).”
Automatic deception detection in Italian court cases (2013, background): “Researchers working in other fields (not deception detection) evaluated the degree to which people coordinate their speech in dyadic interactions (Ireland et al. 2011; Niederhoffer and Pennebaker 2002): their approach could possibly be applied for feature selection in deception detection as well.”
Deception as a Derived Function of Language (2016, background): “…| Volume 7 | Article 1485 (Dunbar, 1993, 2003, 2004; Nettle and Dunbar, 1997; McComb and Semple, 2005; Mesoudi et al., 2006; Roberts, 2010, 2013; Ireland et al., 2011; Weaver and Bosson, 2011; Cohen, 2012; Freeberg et al., 2012; Laidre et al., 2012; Dávid-Barrett and Dunbar, 2013; Redhead and…”