Predicting perceived ethnicity with data on personal names in Russia

Alexey Bessudnov (), Denis Tarasov, Viacheslav Panasovets, Veronica Kostenko, Ivan Smirnov and Vladimir Uspenskiy
Additional contact information
Alexey Bessudnov: University of Exeter
Denis Tarasov: Constructor University Bremen
Viacheslav Panasovets: St Petersburg State University
Veronica Kostenko: Sociology, European University at St Petersburg
Ivan Smirnov: RWTH Aachen University
Vladimir Uspenskiy: ITMO University

Journal of Computational Social Science, 2023, vol. 6, issue 2, No 7, 589-608

Abstract: Abstract In this paper, we develop a machine learning classifier that predicts perceived ethnicity from data on personal names for major ethnic groups populating Russia. We collect data from VK, the largest Russian social media website. Ethnicity was coded from languages spoken by users and their geographical location, with the data manually cleaned by crowd workers. The classifier shows the accuracy of 0.82 for a scheme with 24 ethnic groups and 0.92 for 15 aggregated ethnic groups. It can be used for research on ethnicity and ethnic relations in Russia, with the data sets that have personal names but not ethnicity.

Keywords: Ethnicity; Russia; Machine learning; Prediction; Personal names (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s42001-023-00205-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jcsosc:v:6:y:2023:i:2:d:10.1007_s42001-023-00205-y

Ordering information: This journal article can be ordered from
http://www.springer. ... iences/journal/42001

DOI: 10.1007/s42001-023-00205-y

Access Statistics for this article

Journal of Computational Social Science is currently edited by Takashi Kamihigashi

More articles in Journal of Computational Social Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().