Language use as a reflection of socialization in online communities

60 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews (2013, background): “Are their reviews considered more helpful by others in the community [30]?”
No country for old members: user lifecycle and linguistic change in online communities (2013, background): “Our work also draws on a study that showed how new users change their language after joining a community, and demonstrated that a machine learning classifier could be trained to predict how long a user had been in a community, given linguistic features like self-introductions, references to other me”
Semantic Variation in Online Communities of Practice (2018, unknown): “…aspect have concentrated almost exclusively on community-speciﬁc jar-gon and slang, i.e., neologisms, unique acronyms and abbreviations — e.g., ‘dx’ for ‘diagnosis’ in breast cancer discussion forums (Nguyen and Ros´e, 2011) or ‘scrim’ for ‘practice match’ in online gaming (Kershaw et al., 2016).”
Computational Sociolinguistics: A Survey (2016, background): “Similarly, Gianfortoni, Adamson, and Rosé (2011) revisited the task of gender prediction on the Blog Authorship Corpus.”
Quick, Community-Specific Learning: How Distinctive Toxicity Norms Are Maintained in Political Subreddits (2020, background): “Members conform to linguistic norms as they become more experienced members (Danescu-Niculescu-Mizil et al. 2013; Nguyen and Rosé 2011).”