Abstract This chapter examines material published in the field of digital humanities in 2020. It begins with an article in Digital Humanities Quarterly by a group of early-career scholars taking a novel approach to understanding the field, using topic modelling to query a dataset of definitions of digital humanities. The article brings into focus the proliferation of texts in this area, and the extent to which this ongoing discourse impinges on those, particularly early-career, scholars seeking to enter the field. It also observes the upsurge in writing about the lack of diversity and inclusion in the digital humanities, making the arrival of Catherine D’Ignazio and Lauren F. Klein’s Data Feminism all the more welcome. This hugely important text offers an intersectional approach to the study of historical and contemporary social and cultural data, urging scholars to take up their seven principles for uncovering the ways in which power can be uncovered, examined, analysed, and challenged. They offer a vision of what data justice could look like in theory and in practice. Richard Jean So’s Redlining Culture: A Data History of Racial Inequality and Postwar Fiction takes just such an approach to the analysis of literary culture in post-war America. Using an incisive combination of data science and traditional literary scholarly methods, So paints a compelling picture of the persistence of whiteness in literary culture, analysing the whole cycle of literary production to uncover the ways in which power moves through the system.
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