Visualizing identities in LIS literature

This poster is based on statistical analysis of library and information science (LIS) literature, culled from a significant database in the field. Through searches that cross-referenced commonly used identity terms (e.g., gender, LGBT) with terms describing prominent areas in the LIS field (e.g., libraries, archives), we collected quantitative data and visualized our results using Gephi and Tableau Public. Our methodology, analysis of our findings and next steps are informed by critical approaches to LIS practice, particularly queer theory and critical race theory. Our visualizations show that general identity terms are common in the literature, while discussion of particular identities is scarce and intersectionality, rare