Us twitter trends4/16/2023 This article introduces a publicly available aggregated dataset for the study of temporal trends in personally expressed identity. Such data happens to be attainable, and it comes timestamped and geocoded–meaning temporal trends and geographic comparisons are readily analyzable. “At scale” means with data on millions of individuals. Personally expressed identity is who or what an individual themselves says they are. Personally expressed identity should be studied at scale. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The author has declared that no competing interests exist. The author thanks Stony Brook Research Computing and Cyberinfrastructure, and the Institute for Advanced Computational Science at Stony Brook University for access to the high-performance SeaWulf computing system, which was made possible by a $1.4M National Science Foundation grant (#1531492). This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All database and analysis code files are available from the Open Science Foundation ( and ).įunding: This material is based upon work supported by the National Science Foundation under grant IIS-1927227. Received: JAccepted: NovemPublished: November 18, 2021Ĭopyright: © 2021 Jason Jeffrey Jones. PLoS ONE 16(11):Įditor: Liviu-Adrian Cotfas, Bucharest University of Economic Studies, ROMANIA Citation: Jones JJ (2021) 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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