Rethinking the epistemological myths of Digital Humanities

This paper critiques persistent epistemological myths within Digital Humanities that risk undermining rigorous scholarly practice. It specifically challenges two fallacies: first, that quantitative scale serves as a self-evident hermeneutic parameter; and second, that digital data constitutes an objective representation of cultural artifacts. The analysis argues that the application of computational algorithms does not, in itself, enable the automation of textual comprehension and interpretation. To counter these misconceptions, we assert the necessity of grounding digital methodologies in explicit epistemological and political awareness. We propose that this imperative necessitates the launch of a dedicated Science and Technology Studies research program within Digital Humanities, fostering a critical framework for its tools, practices, and knowledge claims.