Exploring gender differences in member profiles of an online dating site across 35 countries

Kisilevich, Slava; Last, Mark

Exploring gender differences in member profiles of an online dating site across 35 countries

Dateien

Kisilevich.pdfGröße: 8.53 MBDownloads: 1178

Datum

2011

Autor:innen

Kisilevich, Slava

Last, Mark

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

ATZMUELLER, Martin, ed., Andreas HOTHO, ed., Markus STROHMAIER, ed., Alvin CHIN, ed.. Analysis of Social Media and Ubiquitous Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 57-78. Lecture Notes in Computer Science. 6904. ISBN 978-3-642-23598-6. Available under: doi: 10.1007/978-3-642-23599-3_4

Zusammenfassung

Online communities such as forums, general purpose social networking and dating sites, have rapidly become one of the important data sources for analysis of human behavior fostering research in different scientific domains such as computer science, psychology, anthropology, and social science. The key component of most of the online communities and Social Networking Sites (SNS) in particular, is the user profile, which plays a role of a self-advertisement in the aggregated form. While some scientists investigate privacy implications of information disclosure, others test or generate social and behavioral hypotheses based on the information provided by users in their profiles or by interviewing members of these SNS. In this paper, we apply a number of analytical procedures on a large-scale SNS dataset of 10 million public profiles with more than 40 different attributes from one of the largest dating sites in the Russian segment of the Internet to explore similarities and differences in patterns of self-disclosure. Particularly, we build gender classification models for the residents of the 35 most active countries, and investigate differences between genders within and across countries. The results show that while Russian language and culture are unifying factors for people’s interaction on the dating site, the patterns of self-disclosure are different across countries. Some geographically close countries exhibit higher similarity between patterns of self-disclosure which was also confirmed by studies on cross-cultural differences and personality traits. To the best of our knowledge, this is the first attempt to conduct a large-scale analysis of SNS profiles, emphasize gender differences on a country level, investigate patterns of self-disclosure and to provide exact rules that characterize genders within and across countries.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Social networking sites, self-disclosure, gender differences, classification trees, multidimensional scaling, hierarchical clustering

Zitieren

ISO 690

KISILEVICH, Slava, Mark LAST, 2011. Exploring gender differences in member profiles of an online dating site across 35 countries. In: ATZMUELLER, Martin, ed., Andreas HOTHO, ed., Markus STROHMAIER, ed., Alvin CHIN, ed.. Analysis of Social Media and Ubiquitous Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 57-78. Lecture Notes in Computer Science. 6904. ISBN 978-3-642-23598-6. Available under: doi: 10.1007/978-3-642-23599-3_4

BibTex

@inproceedings{Kisilevich2011Explo-17052,
  year={2011},
  doi={10.1007/978-3-642-23599-3_4},
  title={Exploring gender differences in member profiles of an online dating site across 35 countries},
  number={6904},
  isbn={978-3-642-23598-6},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={Analysis of Social Media and Ubiquitous Data},
  pages={57--78},
  editor={Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin},
  author={Kisilevich, Slava and Last, Mark}
}

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Universitätsbibliographie

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