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An interdisciplinary study observing conversations of diversity in technology through a combination of close readings of individual texts; analytics including sentiment analysis, text clustering, and lexical analysis; and visualizations, we seek to reveal features of these texts’ vocabularies, rhetorical and affective strategies, and semantic patterns. We will remain alert to any evidence of potential conscious and unconscious bias, relationships, or patterns within and between the corpora on Twitter.
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14
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Updated script to include necessary javascript for date slider. Reverted to previous version of visualization
9e22bdeView on GitHubReverted back to old version of html code. Some changes made during migration to github broke the original script.
716dc9eView on GitHubAdded six new files csv and their jsons for HASTAC, Pulse, SCOTUS police warrent ruling and HB2 updates to June
bf9a57fView on GitHub