New Work in Digital Humanities

In this episode of High Theory, Matthew Kirschenbaum talks about txt, or text. Not texting, or textbooks, but text as a form of data that is feeding large language models. Will the world end in fire, flood, or text?

In the full interview, Matthew recommended Tim Maughan’s novel Infinite Detail (Macmillan, 2019) as an excellent example of writing about the end of the internet, and Emily St. John Mandel’s Station Eleven (Knopf, 2014) as a positive example of a post-internet apocalypse. In the episode he references a paper by Beder et al., “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (March 2021): 610–623. And several apocalyptic scenarios, including the dead internet theory and the gray goo hypothesis.

Matthew Kirschenbaum is Distinguished University Professor of English and Digital Studies at the University of Maryland and Director of the Graduate Certificate in Digital Studies. His books include Track Changes: A Literary History of Word Processing (Harvard UP 2016) and Mechanisms: New Media and the Forensic Imagination (MIT Press, 2008). With Kari Kraus, he co-founded and co-directs BookLab, a makerspace, studio, library, and press devoted to what is surely our discipline's most iconic artifact, the codex book. See mkirschenbaum.net or follow him on Twitter (or X?) as @mkirschenbaum for more.

Because we are hoping to encourage the text apocalypse, we made today’s image using generative AI. Specifically Saronik made it using the prompt “Text” in Canva’s AI interface.

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In Deep Mediations: Thinking Space in Cinema and Digital Cultures (U of Minnesota Press, 2021), co-editors Karen Redrobe and Jeff Schieble argue that the notion of “depth” is a multivalent one in the field of the humanities. In literary criticism, “depth” is a term that can qualify the profoundness of a given text and the ways that we analyze it, while for film theorists “depth” typically refers to the volume and spatial coordinates of the moving image. In the geohumanities, “deep time” names broad stretches of geological time, while in recent political discourse, the “deep state” suggestively evokes ideas about covert networks of political control. Across a range of essays on topics ranging from cinematic depth of field to deep-fake pornography, Deep Mediations brings together the work of leading scholars who collectively navigate the legacies of depth models of thought and vision, particularly in light of the “surface turn” and as these models impinge on the realms of cinema and media studies.

Jules O’Dwyer is Research Fellow in Film Studies and French at the University of Cambridge.

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Crossover Month at Recall this Book ends with a glance sideways at the doings of our pals Saronik and Kim, hosts of the delightfully lapidary podcast High Theory. Refresh your sense of them with Recall this Book 52: they joined John to showcase their distinctive approach, taking as their topic "the pastoral." Or, just click Play without further ado to hear their thoughts on teletherapy, a concept that proves far more familiar, and omnipresent than we at RtB had realized. Take those omnipresent signs for the Suicide Hotline, for starters....

In this 18-minute gem of an episode, Hannah Zeavin talks with HT about teletherapy, from Freud’s letters to suicide hotlines to therapy apps. This mediated practice is the topic of her new book The Distance Cure: A History of Teletherapy (MIT Press, 2021). You can learn more about Hannah’s research and teaching on her website: zeavin.org

Read the transcript here.

Elizabeth Ferry is Professor of Anthropology at Brandeis University. Email: [email protected]. John Plotz is Barbara Mandel Professor of the Humanities at Brandeis University and co-founder of the Brandeis Educational Justice Initiative. Email: [email protected].

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This week on Recall this Book, another delightful crossover episode from our sister podcast Novel Dialogue, which puts scholars and writers together to discuss the making of novels and what to make of them. (If you want to hear more, RtB 53 featured Nobel Orhan Pamuk, RtB 54 brought in Helen Garner, and in RtB 72 we haveCaryl Phillips). Who better to chat with John and Jennifer Egan--prolific and prize-winning American novelist--than Ivan Kreilkamp? The distinguished Indiana Victorianist showed his Egan expertise last year in his witty book, A Visit from the Goon Squad Reread.

Jennifer Egan © Pieter M. van Hattem

Their conversation ranges widely over Egan’s oeuvre–not to mention 18th and 19th century literature. Trollope, Richardson and Fielding are praised and compared to modern phenomena like TikTok and gamers streaming (including gamers streaming chess, a very special instance of getting inside someone else’s thought process). The PowerPoint chapter in Goon Squad gets special treatment, and tantalizing details from Egan’s forthcoming novel, The Candy House (April, 2022) make an appearance. Egan discusses her authorial impulse towards camouflage, her play with genre’s relationship to specialized lingos and argots–and the way a genre’s norms and structure can function like a “lifeline” and also a “portal.”

Mentioned in the Episode

• Jennifer Egan: Visit from the Goon Squad; Look at Me; Manhattan Beach; The Keep
• Samuel Richardson: Clarissa; Pamela
• Henry Fielding, Shamela
• Herman Melville, Moby Dick
• Patrick O’Brian (e.g. Master and Commander)
• Alfred Hitchcock, Lifeboat

Read the transcript here.

Elizabeth Ferry is Professor of Anthropology at Brandeis University. Email: [email protected]. John Plotz is Barbara Mandel Professor of the Humanities at Brandeis University and co-founder of the Brandeis Educational Justice Initiative. Email: [email protected].

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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Cambridge UP, 2020) by Andrew Piper tackles the problem of generalization with respect to text-based evidence in the field of literary studies. When working with texts, how can we move, reliably and credibly, from individual observations to more general beliefs about the world? The onset of computational methods has highlighted major shortcomings of traditional approaches to texts when it comes to working with small samples of evidence. This Cambridge Element combines a machine learning-based approach to detect the prevalence and nature of generalization across tens of thousands of sentences from different disciplines alongside a robust discussion of potential solutions to the problem of the generalizability of textual evidence. It exemplifies the way mixed methods can be used in complementary fashion to develop nuanced, evidence-based arguments about complex disciplinary issues in a data-driven research environment.

Andrew Piper is Professor and William Dawson Scholar in the Department of Languages, Literatures, and Cultures at McGill University. He directs .txtlab, a laboratory for cultural analytics at McGill, and is editor of the Journal of Cultural Analytics.

Katie McDonough is Senior Research Associate, The Alan Turing Institute.

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