Paper Info
Title
Gender difference analysis of political web forums: An experiment on an international islamic women's forum
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.
Year
DOI
Venue
2009
10.1109/ISI.2009.5137272
ISI
Keywords
Field
DocType
male dominated history,politics,debate social issue,feature-based classification,international islamic women forum,political forum,online discussion board,international islamic woman,online gender differences,social aspects of automation,learning (artificial intelligence),web forum,writing style,social issue,difference analysis,gender difference analysis,gender issues,political web forum,automated approach,machine learning technique,communication channel,textual feature representation,social media,online gender difference,internet,male participant,political forums,text analysis,media,history,information analysis,cultural differences,data mining,learning artificial intelligence,machine learning,probability density function,communication channels,social issues,feature extraction,writing,political culture
Islam,Data mining,Social media,Social issues,Computer science,Writing style,Cultural diversity,Politics,Online discussion,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4244-4173-0
2
0.38
References 
Authors
9
3
Name
Order
Citations
PageRank
Yulei Zhang135025.66
Yan Dang220216.06
Hsinchun Chen39569813.33