Transforming Text: Four Valences of a Digital Humanities Informed Writing Analytics

Aim: This research note narrates existing and continuing potential crossover between the digital humanities and writing studies. I identify synergies between the two fields’ methodologies and categorize current research in terms of four permutations, or “valences,” of the phrase “writing analytics.” These valences include analytics of writing , writing of analytics , writing as analytics , and analytics as writing . I bring recent work in the two fields together under these common labels, with the goal of building strategic alliances between them rather than to delimit or be comprehensive. I offer the valences as one heuristic for establishing connections and distinctions between two fields engaged in complementary work without firm or definitive discursive borders. Writing analytics might provide a disciplinary ground that incorporates and coheres work from these different domains. I further hope to locate the areas in which my current research in digital humanities, grounded in archival studies, might most shape writing analytics. Problem Formation: Digital humanities and writing studies are two fields in which scholars are performing massive data analysis research projects, including those in which data are writing or metadata that accompanies writing. There is an emerging environment in the Modern Language Association friendly to crossover between the humanities and writing studies, especially in work that involves digital methods and media. Writing analytics accordingly hopes to find common disciplinary ground with digital humanities, with the goal of benefitting from and contributing to conversations about the ethical application of digital methods to its research questions. Recent work to bridge digital humanities and writing studies more broadly has unfortunately focused more on territorial and usability concerns than on identifying resonances between the fields’ methodological and ethical commitments. Information Collection: I draw from a history of meta-academic literature in digital humanities and writing studies to review their shared methodological commitments, particularly in literature that recognizes and responds to pushback against the fields’ ostensible use of extra-disciplinary methods. I then turn to current research in both fields that uses and critiques computational techniques, which is most relevant to writing analytics’ articulated focus on massive data analysis. I provide a more detailed explanation, drawing from my categorization of this work, of the conversations in digital humanities surrounding the digital archives that enable data analysis. Conclusions: A review of past and current research in digital humanities and writing studies reveals shared attention to techniques for tokenizing texts at different scales for analysis, which is made possible by the curation of large corpora. Both fields are writing new genres to compose this analysis. In these genres, both fields emphasize process in their provisional work, which is sociocognitively repurposed in different rhetorical contexts. Finally, both fields recognize that the analytical methods they employ are themselves modes of composition and argumentation. An ethics of data transformation present in digital humanities, however, is largely absent from writing studies. This ethics comes to digital humanities from the influence of textual studies and archival studies. Further research in writing analytics might benefit from reframing writing corpora as archives—what Paul Fyfe (2017) calls a shift from “data mining” to “data archaeology”—in its analyses. This is especially true for analyses of text, which in particular foreground writing and analysis of writing as acts of transformation. Directions for Further Research: I recommend that future efforts to find crossover between digital humanities and writing studies do so by identifying their common values rather than trying to co-opt language and spaces or engaging in broad definitional work. I further provide a set of guiding principles that writing analytics might follow in order to pursue research that draws upon and contributes to both digital humanities and writing studies. These research projects might consider and account for the silences of writing corpora—unseen versions of documents, and documents’ elements not described in structured data—while attending to the silences that these efforts might in turn (re)produce.