@inproceedings{e24094a131584756a6cd158934266269,
title = "Specialization, homophily, and gender in a social curation site: Findings from pinterest",
abstract = "Pinterest is a popular social curation site where people collect, organize, and share pictures of items. We studied a fundamental issue for such sites: what patterns of activity attract attention (audience and content reposting)? We organized our studies around two key factors: the extent to which users specialize in particular topics, and homophily among users. We also considered the existence of differences between female and male users. We found: (a) women and men differed in the types of content they collected and the degree to which they specialized; male Pinterest users were not particularly interested in stereotypically male topics; (b) sharing diverse types of content increases your following, but only up to a certain point; (c) homophily drives repinning: people repin content from other users who share their interests; homophily also affects following, but to a lesser extent. Our findings suggest strategies both for users (e.g., strategies to attract an audience) and maintainers (e.g., content recommendation methods) of social curation sites.",
keywords = "Data analysis, Social network, Topic detection, User profiling",
author = "Shuo Chang and Vikas Kumar and Eric Gilbert and Loren Terveen",
year = "2014",
doi = "10.1145/2531602.2531660",
language = "English (US)",
isbn = "9781450325400",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "Association for Computing Machinery",
pages = "674--686",
booktitle = "CSCW 2014 - Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing",
note = "17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014 ; Conference date: 15-02-2014 Through 19-02-2014",
}