1. A dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015โ2020
- Author
-
Jason Jones
- Subjects
Computer science ,Economics ,Culture ,SocArXiv|Social and Behavioral Sciences|Sociology|Methodology ,Social Sciences ,bepress|Social and Behavioral Sciences|Communication ,Security token ,SocArXiv|Social and Behavioral Sciences|Communication|Social Media ,Geographical locations ,Families ,Sociology ,Prevalence ,bepress|Social and Behavioral Sciences|Social Statistics ,Psychology ,Longitudinal Studies ,SocArXiv|Social and Behavioral Sciences|Communication ,Capital Markets ,Financial Markets ,Language ,Data Management ,bepress|Social and Behavioral Sciences|Psychology ,Multidisciplinary ,Social Identification ,Social Communication ,Individual development ,Semantics ,bepress|Social and Behavioral Sciences|Sociology ,Social Networks ,bepress|Social and Behavioral Sciences|Sociology|Quantitative, Qualitative, Comparative, and Historical Methodologies ,Geocoding ,Identity (object-oriented programming) ,bepress|Social and Behavioral Sciences|Psychology|Social Psychology ,Medicine ,SocArXiv|Social and Behavioral Sciences|Psychology ,Network Analysis ,Research Article ,Computer and Information Sciences ,Scale (ratio) ,Stock Markets ,Science ,Twitter ,SocArXiv|Social and Behavioral Sciences|Psychology|Quantitative Psychology ,Mothers ,bepress|Social and Behavioral Sciences|Psychology|Quantitative Psychology ,SocArXiv|Social and Behavioral Sciences|Psychology|Social Psychology ,SocArXiv|Social and Behavioral Sciences|Sociology ,Cultural Evolution ,Humans ,Social media ,Data Visualization ,Cognitive Psychology ,Biology and Life Sciences ,Linguistics ,Data science ,Communications ,United States ,bepress|Social and Behavioral Sciences|Communication|Social Media ,SocArXiv|Social and Behavioral Sciences|Social Statistics ,People and Places ,North America ,bepress|Social and Behavioral Sciences ,Cognitive Science ,Population Groupings ,SocArXiv|Social and Behavioral Sciences ,Social Media ,Neuroscience - Abstract
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.
- Published
- 2021