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See Ya!: Exploring American Renunciation of Citizenship Through Targeted and Sparse Social Media Data Sets and a Custom Spatial-Based Linguistic Analysis Dictionary
Abstract
The renunciation of U.S. citizenship is a non-trivial action, with far-reaching implications, for the individual, his / her social group, and even for the nation. While several U.S. government agencies collect information about this phenomenon, little actual data are publicly shared and mostly only through the U.S. Internal Revenue Service. Social media platforms—Twitter, Facebook, Flickr, Wikipedia, and Reddit (among others)—offer some insights about American renunciation of citizenship. From this targeted data, it is possible to design and collate a custom-made spatial-based dictionary (to run on LIWC2015) in order to automate the analysis of textual data about this phenomenon. This paper describes this process of creating a custom spatial-based dictionary, methods for pilot-testing the dictionary's efficacy (with “test” social media data sets, with experts, and with discovered insights about the target phenomenon), fresh space-based insights about American renunciation of citizenship, and future research directions.
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