AffiliationUniversity of Texas at Austin
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AbstractIn the present study, a corpus of more than 18,000 online dating ads (downloaded from Craigslist.com, ~ 1.4 million words) is used to investigate differences in language use between men and women in the online dating context. Few studies have investigated gender differences in written texts, Newman, Groom et al. (2008), Mulac and Lundell (1994) and Koppel, Argamon et al. (2002) being the notable exceptions. These papers, however, differ remarkably in methodology and results. In the dataset studied here, regression analysis reveals marked differences the use of linguistic features such as emoticons or abbreviations. Writer gender and addressee gender emerge as predictors of variation.