By Neal Caren
Hand in hand with the rise of the “big data” in the social sciences is an enthusiasm for incorporating new methods to analyze these data. Most prominent among these are topic models for analyzing text data and random forests for modeling categorical outcomes. Just as the rise of new, large-scale, real-time data sets presents challenges and opportunities to social movement researchers, many of the standard methods used to analyze this new data presents promise for scholars, but it won’t be necessarily be easy. Continue reading
Mobilizing Ideas 