Gender difference analysis of political web forums: An experiment on an international Islamic women's forum

Zhang Yulei, Dang Yan, Chen Hsinchun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

As an important type of social media, the political Web forum has become a major communication channel for people to discuss and debate political, cultural and social issues. Although the Internet has a male-dominated history, more and more women have started to share their concerns and express opinions through online discussion boards and Web forums. This paper presents an automated approach to gender difference analysis of political Web forums. The approach uses rich textual feature representation and machine learning techniques to examine the online gender differences between female and male participants on political Web forums by analyzing writing styles and topics of interest. The results of gender difference analysis performed on a large and long-standing international Islamic women's political forum are presented, showing that female and male participants have significantly different topics of interest.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Pages61-64
Number of pages4
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 - Dallas, TX, United States
Duration: Jun 8 2009Jun 11 2009

Publication series

Name2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009

Other

Other2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Country/TerritoryUnited States
CityDallas, TX
Period6/8/096/11/09

Keywords

  • Feature-based classification
  • Online gender differences
  • Political forums

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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