Conclusion Sources and resources References web-based corpus processing software tool for linguistic analysis, in order to compare the language of men looking for women, men looking for men, women looking for women, and women looking for men. Linguistic research into the language of online dating ads is still scarce. Results 5.1 Whole corpus results 5.2 Men looking for women 5.3 Women looking for men 5.4 Men looking for men 5.5 Women looking for women 6.1997; Greenlees & Mc Grew 1994; Wiederman 1993), as well as entertainment and social skills (Miller 1998).
The methodology employed in these previous studies is usually interview-based.
Academic research into the language of online dating ads is still scarce.
In contrast, women’s preferences in order were: commitment, social skills, resources, attractiveness and sexiness.
Table 1 exemplifies the traits associated with these categories, based on the investigations conducted by Dunbar and his colleagues.
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You may now see our list and photos of women who are in your area and meet your preferences.Our study also includes same-sex relationships that were not examined in Pawłowski and Dunbar (2001).Also, their method of investigation was based on subjective manual rating of the appeal of the collected Lonely Hearts advertisements to 200 male and female university students, while we use a corpus processing software tool for linguistic analysis with the aim of producing more objective quantitative results.We have collected texts from the online dating classified ads on the uk dating website web-based corpus processing software tool for linguistic analysis in order to compare the language of men looking for women, men looking for men, women looking for women, and women looking for men.Our focus is the over-50s, as this age group is often overlooked in previous studies.This paper describes the results arrived at using our corpus-based methodology and compares them with those in Pawłowski and Dunbar's (2001) study.