A gender based study of tagging behavior in Twitter

Author(s):
Landulfo Teixeira P. Cunha, E.; Magno, G.; Almeida, V.; Gonçalves, M.A.; Benevenuto, F.
Published
2012
Publication type
Article in monograph or in proceedings

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.

Date issued
2012
Language
English
Is part of
Proceedings of the 23rd ACM Conference on Hypertext and Social Media (HT’12) (2012), p. 323-324
hdl
1887/61418
doi
10.1145/2309996.2310055
URL
https://dl.acm.org/citation.cfm?doid=2309996.2310055

Conference

Meeting name
23rd ACM Conference on Hypertext and Social Media
Meeting location
Milwaukee, WI, United States of America
Meeting date
2012-06-25 - 2012-06-28