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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Detalles Bibliográficos
Autor principal: Jones, Jason Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601548/
https://www.ncbi.nlm.nih.gov/pubmed/34793578
http://dx.doi.org/10.1371/journal.pone.0260185
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author Jones, Jason Jeffrey
author_facet Jones, Jason Jeffrey
author_sort Jones, Jason Jeffrey
collection PubMed
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.
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spelling pubmed-86015482021-11-19 A dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015–2020 Jones, Jason Jeffrey PLoS One Research Article 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. Public Library of Science 2021-11-18 /pmc/articles/PMC8601548/ /pubmed/34793578 http://dx.doi.org/10.1371/journal.pone.0260185 Text en © 2021 Jason Jeffrey Jones https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jones, Jason Jeffrey
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
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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601548/
https://www.ncbi.nlm.nih.gov/pubmed/34793578
http://dx.doi.org/10.1371/journal.pone.0260185
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