Literature Seen Through Big Data and Artificial Intelligence: Key Concepts and Critical Challenges
Ana Gallego Cuiñas · 2023
desirable, since through the intertwining of these scalesor methodological strategies (English and Underwood 2016) -we can achieve better findings with greater breadth and concision, which benefits both theory and literary criticism, and computational science.We could call this approach cross-reading, 1 which in turn suggests another ocular metaphor, cross-eyed reading, displaced and interposeda form championed by Ricardo Piglia himself (2005) as a highly productive way of reading for the Argentine cultural field.This essay therefore presents a crisscrossed and situated reflection on Literature and Big Data centred on two main themes that overlap and supplement one another: first, the use of Big Data and Artificial Intelligence (AI) in literary culture, based both on the mechanisms of production, circulation and consumption of literature in the market, and on the impact and utility of computational methods in the field of criticism; second, the use of certain literary and philosophical categories that could be advantageous for the -"situated" (Haraway 1995) -epistemic and political intellection of the functions of Big Data and AI.This proposal is undoubtedly only a starting point, which has the ultimate aim of contributing to the much-needed design of an agenda for the literary criticism of data 2 that contemplates the multiple possibilities of collaboration and dialogue between the Humanities, Sociology, Data Science and AI.