“…Although this type of scholarly controversy goes back millennia, and attempts to resolve this sort of question on the basis of empirical analysis and data date to at least the 19th century [de Morgan, 1882, Mendenhall, 1887, recent advances in artificial intelligence, machine learning, and natural language processing have made this type of analysis much easier, faster, and more reliable. Applications of authorship analysis include not only the literary [Collins, 2013,Cafiero andCamps, 2019], but also the historic Wallace, 1963, Mosteller andWallace, 1964], the journalistic [Brooks and Flyn, 2013, Brooks, 2013, Herper, 2014, Pesca, 2018, and even the legal [Leonard, 2006, McMenamin, 2011, Ainsworth and Juola, 2019. This technology has proven to be a useful scholarly tool across the academy.…”