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Male, Female, and Nonbinary Differences in UK Twitter Self-descriptions: A Fine-grained Systematic Exploration Cover

Male, Female, and Nonbinary Differences in UK Twitter Self-descriptions: A Fine-grained Systematic Exploration

Journal of Data and Information Science
Volume 6 (2021): Issue 2 (April 2021)
By: Mike Thelwall,  Saheeda Thelwall and  Ruth Fairclough  
Open Access
|Mar 2021

Authors

Mike Thelwall

m.thelwall@wlv.ac.uk

Statistical Cybermetrics Research Group, University of Wolverhampton, UK

Saheeda Thelwall

Statistical Cybermetrics Research Group, University of Wolverhampton, UK

Ruth Fairclough

Statistical Cybermetrics Research Group, University of Wolverhampton, UK
DOI: https://doi.org/10.2478/jdis-2021-0018 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 1 - 27
Submitted on: Dec 23, 2020
Accepted on: Feb 7, 2021
Published on: Mar 8, 2021
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Twitter,
Online self-presentation,
Gender,
Nonbinary genders,
Twitter bios
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2021 Mike Thelwall, Saheeda Thelwall, Ruth Fairclough, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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