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...

Full description

Bibliographic Details
Main Author: Jason Jeffrey Jones
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601548/?tool=EBI
_version_ 1818406102895689728
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
work_keys_str_mv AT jasonjeffreyjones adatasetforthestudyofidentityatscaleannualprevalenceofamericantwitteruserswithspecifiedtokenintheirprofilebio20152020
AT jasonjeffreyjones datasetforthestudyofidentityatscaleannualprevalenceofamericantwitteruserswithspecifiedtokenintheirprofilebio20152020