Abstract
The Change the Museum Instagram account launched in June 2020 to document instances of unchecked racism in US museums. When the posts are coded based on the prevailing identity categories of race, gender identity, sexual orientation, and positions of power, among other constructs, an Epistemic Network Analysis (ENA) model can be generated for each in order to visualize connections between individuals and the structural and systemic factors contributing to harmful work environments. The methodology of this study expands previous analyses of the first month and initial six months of posts by considering a full year of social media data. One goal in assessing this set of utterances is to contribute to policy change plans and decisions in this culture sector. Another aim is to demonstrate the shared, intersectional encounters with racism and other injustices as a roadmap for meaningful change.
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Espino, D.P., Green, S., Keene, B.C., Werbowsky, P. (2023). Leveraging Epistemic Network Analysis (ENA) to Identify Focus Areas for Justice, Equity, Diversity and Inclusion (JEDI) Efforts in Museum Workplace Contexts. In: Arastoopour Irgens, G., Knight, S. (eds) Advances in Quantitative Ethnography. ICQE 2023. Communications in Computer and Information Science, vol 1895. Springer, Cham. https://doi.org/10.1007/978-3-031-47014-1_20
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