Inferring nationalities of Twitter users and studying inter-national linking

Wenyi Huang, Ingmar Weber, Sarah Vieweg

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

23 Citations (Scopus)

Abstract

Twitter user profiles contain rich information that allows researchers to infer particular attributes of users' identities. Knowing identity attributes such as gender, age, and/or nationality are a first step in many studies which seek to describe various phenomena related to computational social science. Often, it is through such attributes that studies of social media that focus on, for example, the isolation of foreigners, become possible. However, such characteristics are not often clearly stated by Twitter users, so researchers must turn to other means to ascertain various categories of identity. In this paper, we discuss the challenge of detecting the nationality of Twitter users using rich features from their profiles. In addition, we look at the effectiveness of different features as we go about this task. For the case of a highly diverse country - Qatar - we provide a detailed network analysis with insights into user behaviors and linking preference (or the lack thereof) to other nationalities.

Original languageEnglish
Title of host publicationHT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery
Pages237-242
Number of pages6
ISBN (Print)9781450329545
DOIs
Publication statusPublished - 1 Jan 2014
Event25th ACM Conference on Hypertext and Social Media, HT 2014 - Santiago, Chile
Duration: 1 Sep 20144 Sep 2014

Other

Other25th ACM Conference on Hypertext and Social Media, HT 2014
CountryChile
CitySantiago
Period1/9/144/9/14

Fingerprint

Social sciences
Electric network analysis

Keywords

  • nationality inference
  • qatar
  • twitter
  • user classification

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

Cite this

Huang, W., Weber, I., & Vieweg, S. (2014). Inferring nationalities of Twitter users and studying inter-national linking. In HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media (pp. 237-242). Association for Computing Machinery. https://doi.org/10.1145/2631775.2631825

Inferring nationalities of Twitter users and studying inter-national linking. / Huang, Wenyi; Weber, Ingmar; Vieweg, Sarah.

HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, 2014. p. 237-242.

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

Huang, W, Weber, I & Vieweg, S 2014, Inferring nationalities of Twitter users and studying inter-national linking. in HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, pp. 237-242, 25th ACM Conference on Hypertext and Social Media, HT 2014, Santiago, Chile, 1/9/14. https://doi.org/10.1145/2631775.2631825
Huang W, Weber I, Vieweg S. Inferring nationalities of Twitter users and studying inter-national linking. In HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery. 2014. p. 237-242 https://doi.org/10.1145/2631775.2631825
Huang, Wenyi ; Weber, Ingmar ; Vieweg, Sarah. / Inferring nationalities of Twitter users and studying inter-national linking. HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, 2014. pp. 237-242
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