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  • A dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015–2020
Title: A dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015–2020
Personally expressed identity is who or what an individual themselves says they are, and it should be studied at scale. At scale means with data on millions of individuals, which is newly available and comes timestamped and geocoded. This work introduces a dataset for the study of identity at scale and describes the method for collecting and aggregating such data. Further, tools and theory for working with the data are presented. A demonstration analysis provides evidence that personal, individual development and changing cultural norms can be observed with these data and methods.  more » « less
Award ID(s):
1927227
PAR ID:
10326618
Author(s) / Creator(s):
Editor(s):
Cotfas, Liviu-Adrian
Date Published:
Journal Name:
PLOS ONE
Volume:
16
Issue:
11
ISSN:
1932-6203
Page Range / eLocation ID:
e0260185
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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