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.