@inproceedings{43d18706f75840e9b77056038d83f4eb,
title = "How does twitter user behavior vary across demographic groups?",
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.",
author = "Zach Wood-Doughty and Michael Smith and Broniatowski, {David A.} and Mark Dredze",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computational Linguistics.; 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 date: 03-08-2017",
year = "2017",
language = "English (US)",
series = "Proceedings 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",
publisher = "Association for Computational Linguistics (ACL)",
pages = "83--89",
editor = "Dirk Hovy and Svitlana Volkova and David Bamman and David Jurgens and Brendan O�Connor and Oren Tsur and Dogruoz, {A. Seza}",
booktitle = "Proceedings 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",
address = "United States",
}