How does twitter user behavior vary across demographic groups?

Zach Wood-Doughty, Michael Smith, David A. Broniatowski, Mark Dredze

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

Abstract

Demographically-tagged social media messages are a common source of data for computational social science. While these messages can indicate differences in beliefs and behaviors between demographic groups, we do not have a clear understanding of how different demographic groups use platforms such as Twitter. This paper presents a preliminary analysis of how groups' differing behaviors may confound analyses of the groups themselves. We analyzed one million Twitter users by first inferring demographic attributes, and then measuring several indicators of Twitter behavior. We find differences in these indicators across demographic groups, suggesting that there may be underlying differences in how different demographic groups use Twitter.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd Workshop on Natural Language Processing and Computational Social Science, NLP+CSS 2017 at the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
EditorsDirk Hovy, Svitlana Volkova, David Bamman, David Jurgens, Brendan O�Connor, Oren Tsur, A. Seza Dogruoz
PublisherAssociation for Computational Linguistics (ACL)
Pages83-89
Number of pages7
ISBN (Electronic)9781945626654
StatePublished - 2017
Externally publishedYes
Event2nd Workshop on Natural Language Processing and Computational Social Science, NLP+CSS 2017 at the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017 - Vancouver, Canada
Duration: Aug 3 2017 → …

Publication series

NameProceedings of the 2nd Workshop on Natural Language Processing and Computational Social Science, NLP+CSS 2017 at the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017

Conference

Conference2nd Workshop on Natural Language Processing and Computational Social Science, NLP+CSS 2017 at the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
Country/TerritoryCanada
CityVancouver
Period8/3/17 → …

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • General Social Sciences

Fingerprint

Dive into the research topics of 'How does twitter user behavior vary across demographic groups?'. Together they form a unique fingerprint.

Cite this