In the past decade research on social movements and collective behavior has slowly been moving away from a resource mobilization and political process model, with its emphasis on identifying and measuring the combination of variables that lead to movement emergence and success, toward a multi-institutional approach. The multi-institutional approach acknowledges that oppression is distributed across multiple, often competing, institutions within society, each with their own logic. Thus, social movements have multiple targets, including social and cultural targets, and as such they will have multiple, sometimes competing goals and strategies. Acknowledging this complexity requires new methods in computational social science and the digital humanities. 

I employ this multi-institutional perspective to study the women's movement in the United States from 1848-1975 in two cities, New York City and Chicago, using new advances in network analysis and computational text analysis to identify structural and cultural diversity within. I do so through a dual approach: using network analysis to measure the structure of this movement and using computational text analysis to measure the underlying culture and ideas within the movement. I have completed the network analysis, including close to 100 women's movement organizations, and, using computational text analysis to analyze the writing of four core organizations within this movement, I have identified two competing and persistent political logics shaping the movement.