liesel sharabi david j roach
Download
Skip this Video
Download Presentation
Liesel sharabi David J. Roaché

Loading in 2 Seconds...

play fullscreen
1 / 7

Liesel sharabi David J. Roaché - PowerPoint PPT Presentation


  • 64 Views
  • Uploaded on

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)

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Liesel sharabi David J. Roaché' - essien


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
liesel sharabi david j roach
Does language choice predict motivations for relationship initiation?: using liwc to analyze linguistic markers of intent in online dating profiles

Lieselsharabi

David J. Roaché

rationale
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
dataset
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
research questions
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?
method
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
ad