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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Autor principal:	Jason Jeffrey Jones
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1449830307334810904958dee597a18d
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spelling	oai:doaj.org-article:1449830307334810904958dee597a18d2021-11-25T06:19:37ZA dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015–20201932-6203https://doaj.org/article/1449830307334810904958dee597a18d2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601548/?tool=EBIhttps://doaj.org/toc/1932-6203Personally 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.Jason Jeffrey JonesPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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
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.
format	article
author	Jason Jeffrey Jones
author_facet	Jason Jeffrey Jones
author_sort	Jason Jeffrey Jones
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_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_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_sort	dataset for the study of identity at scale: annual prevalence of american twitter users with specified token in their profile bio 2015–2020
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/1449830307334810904958dee597a18d
work_keys_str_mv	AT jasonjeffreyjones adatasetforthestudyofidentityatscaleannualprevalenceofamericantwitteruserswithspecifiedtokenintheirprofilebio20152020 AT jasonjeffreyjones datasetforthestudyofidentityatscaleannualprevalenceofamericantwitteruserswithspecifiedtokenintheirprofilebio20152020
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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

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