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Liesel sharabi David J. Roaché

Does language choice predict motivations for relationship initiation?: using liwc to analyze linguistic markers of intent in online dating profiles. Liesel sharabi David J. Roaché. Rationale. Language as a window into culture (Chung & Pennebaker, 2012)

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Liesel sharabi David J. Roaché

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  1. Does language choice predict motivations for relationship initiation?: using liwc to analyze linguistic markers of intent in online dating profiles Lieselsharabi David J. Roaché

  2. Rationale • Language as a window into culture (Chung & Pennebaker, 2012) • Advantages of using Linguistic Inquiry and Word Count (LIWC; Pennebaker, Booth, & Francis, 2007) • Large scale language analysis over a variety of platforms • Twitter: Arab spring (Elson et al., 2012), stock market (Grossman, 2010), Germany’s 2009 federal elections (Tumasjan, Sprenger, Sandner, & Welpe, 2010) • Facebook: Gross national happiness index (Kramer, 2010) • Online dating: Deception (Toma & Hancock, 2012; Hancock & Toma, 2009; Toma & Hancock, 2009) • Analyze Words detects personality characteristics

  3. Dataset • Free and popular • Unique set of motivations • Intent (e.g., hang out, intimate encounter) • Looking for (e.g., wants relationship, looking for someone to marry) • No violation of Terms of Service

  4. Research Questions • RQ1: Do linguistic markers predict relational intent on POF? • RQ2: Which linguistic markers will be the best predictors of relational intent on POF?

  5. Method • Online Dating Profiles (N = 120) • Equal numbers of males and females • Equal numbers of profiles from six categories of intent • Looking for a commitment (66.7%; n = 80) • Not looking for a commitment (33.3%; n = 40) • Demographics • Ages ranged from 18 to 61 (M = 33.63; SD = 10.32) • Mostly Caucasian (69.2%; n = 83), followed by Black (17.5%; n = 21), Hispanic (8.3%; n = 10), Mixed Race (1.7%; n = 2), Other (1.7%; n = 2), Asian (.8%; n = 1), and Native American (.8%; n = 1) • Data Analysis • Linguistic Inquiry and Word Count (LIWC) (Pennebaker, Booth, & Francis, 2007) • Stepwise logistic regression with forward selection

  6. Results

  7. Thank you

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