Additional Reading

Here you will find additional readings that there wasn’t space for on the course syllabus. You may use these readings when conducting research for your data analysis and final papers. Those readings not available online are included in the “Additional Reading” folder on our class Box drive. I will keep adding to this page throughout the semester. The readings are roughly organized by theme, or by week title in the course.

Histories

• Louis T. Milic, “The Next Step,” Computers and the Humanities 1.1 (1966)
• Roberto Busa, “Why Can a Computer Do So Little?”, ALLC Bulletin 4.1 (1976)
• Rosanne G. Potter, “Literary Criticism and Literary Computing: The Difficulties of a Synthesis,” Computers and the Humanities 22.2 (1988)
• Yohei Igarashi, “Statistical Analysis at the Birth of Close Reading,” New Literary History 46.3 (2015)
• Susan Hockey, “The History of Humanities Computing,” A Companion to Digital Humanities (2004)
• Melissa Terras and Julianne Nyhan, “Father Busa’s Female Punch Card Operatives,” Debates in the Digital Humanities 2016 (2016)

Objectivity, quantification, and knowledge

• Jessica Marie Johnson, “Markup Bodies: Black [Life] Studies and Slavery [Death] Studies at the Digital Crossroads,” Social Text 36.4 137 (2018) (B)

Data and data modeling

• Ellen Gruber Garvey, “facts and FACTS: Abolitionists’ Database Innovations,” “Raw Data” Is an Oxymoron, MIT Press (2013)
• Katie Rawson and Trevor Muñoz, “Against Cleaning”, Curating Menus, 7 July, 2016.
• Willard McCarty, “Knowing…: Modeling in Literary Studies,” A Companion to Digital Literary Studies (2008)
• Dennis Yi Tenen, “Toward a Computational Archaeology of Fictional Space,” New Literary History 49.1 (2018) (B)
• Hoyt Long and Richard Jean So, “Turbulent Flow: A Computational Model of World Literature,” Modern Language Quarterly 77.3 (September 2016) (B)
• Michael Whitmore, “Text: A Massively Addressable Object”, Debates in the Digital Humanities 2012 (2012)

Reading: close, distant, reductive

• Michael Hancher, “Re: Search and Close Reading,” from Debates in the Digital Humanities 2016 (2016)

Topic modeling

• Scott Weingart, “Topic Modeling for Humanists: A Guided Tour” (25 July 2012)
• David M. Blei, “Topic Modeling and Digital Humanities,” Journal Of Digital Humanities 2.1 (Winter 2012)
• Ted Underwood, “Topic Modeling Made Just Simple Enough” (7 April 2012)
• Robert K. Nelson and Digital Scholarship Lab, University of Richmond, “Mining the Dispatch” (2011)

Other Methods

• Matthew Wilkens, “Genre, Computation, and the Varieties of Twentieth-Century U.S. Fiction,” CA: Journal of Cultural Analytics, 11.06.16
• Ted Underwood, David Bamman, and Sabrina Lee, “The Transformation of Gender in English-Language Fiction,”, CA: Journal of Cultural Analytics 2.13.18
  • Dataverse DOI for article
• Ted Underwood, “We don’t already understand the broad outlines of literary history” (2013)

More on DH

• Paige Morgan, “Not Your DH Teddy Bear; or, Emotional Labor is Not Going Away,”, dh + lib (2016)
• There is lots more in both the 2012 and the 2016 editions of Debates in the Digital Humanities

Data Sets

• Paige C. Morgan, Lilianne Lugo Herrera, Alexandria Morgan, Laura Capell, Paul Clough, Jason Cohen, Elliot Williams, and Gabriella Williams, Pan Am Periodicals Plain Text Data
• Alan Liu’s list of Data Collections and Datasets, especially the “Demo Corpora” and the “Datasets” categories