@inproceedings{ananthasubramaniam-etal-2023-exploring,
    title = "Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics",
    author = "Ananthasubramaniam, Aparna  and
      Chen, Hong  and
      Yan, Jason  and
      Alkiek, Kenan  and
      Pei, Jiaxin  and
      Seth, Agrima  and
      Dunagan, Lavinia  and
      Choi, Minje  and
      Litterer, Benjamin  and
      Jurgens, David",
    editor = "Chawla, Kushal  and
      Shi, Weiyan",
    booktitle = "Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.sicon-1.7",
    doi = "10.18653/v1/2023.sicon-1.7",
    pages = "64--74",
    abstract = "Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of online communication on platforms such as Reddit is an unknown question. In this study, we analyze a large corpus of two-party conversation threads in Reddit where we identify all occurrences of LSM using two types of style: the use of function words and formality. Using this framework, we examine how levels of LSM differ in conversations depending on several social factors within Reddit: post and subreddit features, conversation depth, user tenure, and the controversiality of a comment. Finally, we measure the change of LSM following loss of status after community banning. Our findings reveal the interplay of LSM in Reddit conversations with several community metrics, suggesting the importance of understanding conversation engagement when understanding community dynamics.",
}

Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of online communication on platforms such as Reddit is an unknown question. In this study, we analyze a large corpus of two-party conversation threads in Reddit where we identify all occurrences of LSM using two types of style: the use of function words and formality. Using this framework, we examine how levels of LSM differ in conversations depending on several social factors within Reddit: post and subreddit features, conversation depth, user tenure, and the controversiality of a comment. Finally, we measure the change of LSM following loss of status after community banning. Our findings reveal the interplay of LSM in Reddit conversations with several community metrics, suggesting the importance of understanding conversation engagement when understanding community dynamics.
Ananthasubramaniam, Aparna Chen, Hong Yan, Jason Alkiek, Kenan Pei, Jiaxin Seth, Agrima Dunagan, Lavinia Choi, Minje Litterer, Benjamin Jurgens, David
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics