skip to main content
10.1145/2309996.2310055acmconferencesArticle/Chapter ViewAbstractPublication PageshtConference Proceedingsconference-collections
poster

A gender based study of tagging behavior in twitter

Authors Info & Claims
Published:25 June 2012Publication History

ABSTRACT

Gender plays a key role in the process of language variation. Men and women use language in different ways, according to the expected behavior patterns associated with their status in the communities. In this paper, we present a first description of gender distinctions in the usage of Twitter hashtags. After analyzing data collected from more than 650,000 tagged tweets concerning three different subjects, we concluded that gender can be considered a social factor that influences the user's choice of particular hashtags about a given topic. This study aims to increase knowledge about human behavior in free tagging environments and may be useful to the development of tag recommendation systems based on users' collective preferences.

References

  1. Cha, M., Haddadi, H., Benevenuto, F., and Gummadi, K.P. 2010. Measuring User Influence in Twitter: The Million Follower Fallacy. Proc. ICWSM, May 2010.Google ScholarGoogle Scholar
  2. Labov, W. 2001. Principles of Linguistic Change: Social Factors. Blackwell, Malden, MA.Google ScholarGoogle Scholar

Index Terms

  1. A gender based study of tagging behavior in twitter

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      HT '12: Proceedings of the 23rd ACM conference on Hypertext and social media
      June 2012
      340 pages
      ISBN:9781450313353
      DOI:10.1145/2309996

      Copyright © 2012 Authors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 June 2012

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      HT '12 Paper Acceptance Rate33of120submissions,28%Overall Acceptance Rate378of1,158submissions,33%

      Upcoming Conference

      HT '24
      35th ACM Conference on Hypertext and Social Media
      September 10 - 13, 2024
      Poznan , Poland

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader