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Description: The aim of this project is to produce online dashboards to facilitate the study of personally expressed identity at scale. Version 2 now available: Jason Jeffrey Jones' Identity Trends draws inspiration from online dashboards such as Google Trends. The user may enter a query and will receive a time series of counts. In version 2, the count is the the prevalence of American Twitter users whose profile bio contains the queried term. For example, one might enter the search term "grandmother" and receive as output the the prevalence of American Twitter users whose profile bio contained "grandmother" in 2012, 2013, 2014 and so on. In future versions, one will be able to query how many users per day add a particular word to their biography or remove it. The dataset is based on the 1% sample of public tweets available through the Twitter API. Users are unique (a user only counts once whether they tweet 1 time or 100 times). Users are filtered to those who are likely to be American.

License: CC-By Attribution 4.0 International


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