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

Mike Thelwall

Mike Thelwall

Statistical Cybermetrics Research Group, University of WolverhamptonUK
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Thelwall, Mike
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Saheeda Thelwall

Saheeda Thelwall

Statistical Cybermetrics Research Group, University of WolverhamptonUK
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Thelwall, Saheeda
 and 
Ruth Fairclough

Ruth Fairclough

Statistical Cybermetrics Research Group, University of WolverhamptonUK
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Fairclough, Ruth
  
Mar 08, 2021
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Article Category: Research Paper
Published Online: Mar 08, 2021
Page range: 1 - 27
Received: Dec 23, 2020
Accepted: Feb 07, 2021
DOI: https://doi.org/10.2478/jdis-2021-0018
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© 2021 Mike Thelwall et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

The research design, illustrating the multiple automated and two manual stages for the female themes.
The research design, illustrating the multiple automated and two manual stages for the female themes.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
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