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...
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2021-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601548/?tool=EBI |
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author | Jason Jeffrey Jones |
author_facet | Jason Jeffrey Jones |
author_sort | Jason Jeffrey Jones |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-14T09:06:37Z |
format | Article |
id | doaj.art-1449830307334810904958dee597a18d |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-14T09:06:37Z |
publishDate | 2021-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-1449830307334810904958dee597a18d2022-12-21T23:08:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-011611A dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015–2020Jason Jeffrey JonesPersonally 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601548/?tool=EBI |
spellingShingle | Jason Jeffrey Jones A dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015–2020 PLoS ONE |
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 |
title_full | 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_fullStr | 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_full_unstemmed | 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_short | 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_sort | dataset for the study of identity at scale annual prevalence of american twitter users with specified token in their profile bio 2015 2020 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601548/?tool=EBI |
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