Inferring the socioeconomic status of social media users based on behaviour and language

Vasileios Lampos; Nikolaos Aletras; Jens K. Geyti; Bin Zou; Ingemar Johansson Cox

doi:10.1007/978-3-319-30671-1_54

Inferring the socioeconomic status of social media users based on behaviour and language

Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti, Bin Zou, Ingemar Johansson Cox

Datalogisk Institut

30 Citationer (Scopus)

Abstract

This paper presents a method to classify social media users based on their socioeconomic status. Our experiments are conducted on a curated set of Twitter profiles, where each user is represented by the posted text, topics of discussion, interactive behaviour and estimated impact on the microblogging platform. Initially, we formulate a 3-way classification task, where users are classified as having an upper, middle or lower socioeconomic status. A nonlinear, generative learning approach using a composite Gaussian Process kernel provides significantly better classification accuracy (75%) than a competitive linear alternative. By turning this task into a binary classification – upper vs. medium and lower class – the proposed classifier reaches an accuracy of 82%.

Originalsprog	Engelsk
Titel	Advances in Information Retrieval : 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings
Redaktører	Nicola Ferro, Fabio Crestani, Marie-Francine Moens, Josiane Mothe, Fabrizio Silvestri, Giorgio Maria Di Nunzio, Claudia Hauff, Gianmaria Silvello
Antal sider	7
Forlag	Springer
Publikationsdato	2016
Sider	689-695
ISBN (Trykt)	978-3-319-30671-1
ISBN (Elektronisk)	978-3-319-30671-1
DOI	https://doi.org/10.1007/978-3-319-30671-1_54
Status	Udgivet - 2016
Begivenhed	38th European Conference on Information Retrieval - Padua, Italien Varighed: 20 mar. 2016 → 23 mar. 2016

Konference

Konference	38th European Conference on Information Retrieval
Land/Område	Italien
By	Padua
Periode	20/03/2016 → 23/03/2016

Navn	Lecture notes in computer science
Vol/bind	9626
ISSN	0302-9743

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10.1007/978-3-319-30671-1_54

Citationsformater

Lampos, V., Aletras, N., Geyti, J. K., Zou, B., & Cox, I. J. (2016). Inferring the socioeconomic status of social media users based on behaviour and language. I N. Ferro, F. Crestani, M.-F. Moens, J. Mothe, F. Silvestri, G. M. Di Nunzio, C. Hauff, & G. Silvello (red.), Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings (s. 689-695). Springer. https://doi.org/10.1007/978-3-319-30671-1_54

Inferring the socioeconomic status of social media users based on behaviour and language. / Lampos, Vasileios; Aletras, Nikolaos; Geyti, Jens K. et al.
Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings. red. / Nicola Ferro; Fabio Crestani; Marie-Francine Moens; Josiane Mothe; Fabrizio Silvestri; Giorgio Maria Di Nunzio; Claudia Hauff; Gianmaria Silvello. Springer, 2016. s. 689-695 (Lecture notes in computer science, Bind 9626).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Lampos, V, Aletras, N, Geyti, JK, Zou, B & Cox, IJ 2016, Inferring the socioeconomic status of social media users based on behaviour and language. i N Ferro, F Crestani, M-F Moens, J Mothe, F Silvestri, GM Di Nunzio, C Hauff & G Silvello (red), Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings. Springer, Lecture notes in computer science, bind 9626, s. 689-695, 38th European Conference on Information Retrieval, Padua, Italien, 20/03/2016. https://doi.org/10.1007/978-3-319-30671-1_54

Lampos V, Aletras N, Geyti JK, Zou B, Cox IJ. Inferring the socioeconomic status of social media users based on behaviour and language. I Ferro N, Crestani F, Moens MF, Mothe J, Silvestri F, Di Nunzio GM, Hauff C, Silvello G, red., Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings. Springer. 2016. s. 689-695. (Lecture notes in computer science, Bind 9626). doi: 10.1007/978-3-319-30671-1_54

Lampos, Vasileios ; Aletras, Nikolaos ; Geyti, Jens K. et al. / Inferring the socioeconomic status of social media users based on behaviour and language. Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings. red. / Nicola Ferro ; Fabio Crestani ; Marie-Francine Moens ; Josiane Mothe ; Fabrizio Silvestri ; Giorgio Maria Di Nunzio ; Claudia Hauff ; Gianmaria Silvello. Springer, 2016. s. 689-695 (Lecture notes in computer science, Bind 9626).

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Inferring the socioeconomic status of social media users based on behaviour and language

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