JOURNAL ARTICLE

Understanding the Demographics of Twitter Users

Alan MisloveSune LehmannYong‐Yeol AhnJukka‐Pekka OnnelaJan Rosenquist

Year: 2021 Journal:   Proceedings of the International AAAI Conference on Web and Social Media Vol: 5 (1)Pages: 554-557

Abstract

Every second, the thoughts and feelings of millions of people across the world are recorded in the form of 140-character tweets using Twitter. However, despite the enormous potential presented by this remarkable data source, we still do not have an understanding of the Twitter population itself: Who are the Twitter users? How representative of the overall population are they? In this paper, we take the first steps towards answering these questions by analyzing data on a set of Twitter users representing over 1% of the U.S. population. We develop techniques that allow us to compare the Twitter population to the U.S. population along three axes (geography, gender, and race/ethnicity), and find that the Twitter population is a highly non-uniform sample of the population.

Keywords:
Population Demographics Sample (material) Set (abstract data type) Feeling Geography Social media Ethnic group Race (biology) Internet privacy Computer science World Wide Web Sociology Psychology Demography Social psychology Gender studies

Metrics

768
Cited By
26.80
FWCI (Field Weighted Citation Impact)
7
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Complex Network Analysis Techniques
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Opinion Dynamics and Social Influence
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics

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