Bibliography – Distant Reading (in Digital Humanities)

Selected DH research and resources bearing on, or utilized by, the WE1S project.
(all) Distant Reading | Cultural Analytics | Sociocultural Approaches | Topic Modeling in DH


Klein, Lauren F. “Dimensions of Scale: Invisible Labor, Editorial Work, and the Future of Quantitative Literary Studies.” PMLA 135, no. 1 (2020): 23–39. https://doi.org/10.1632/pmla.2020.135.1.23. Cite
Lavin, Matthew J. “Gender Dynamics and Critical Reception: A Study of Early 20th-Century Book Reviews from The New York Times.” Journal of Cultural Analytics, 2020. https://doi.org/10.22148/001c.11831. Cite
Bourrier, Karen, and Mike Thelwall. “The Social Lives of Books: Reading Victorian Literature on Goodreads.” Journal of Cultural Analytics, 2020, 12049. https://doi.org/10.22148/001c.12049. Cite
Jofre, Ana, Josh Cole, Vincent Berardi, Carl Bennett, and Michael Reale. “What’s in a Face? Gender Representation of Faces in Time, 1940s-1990s.” Journal of Cultural Analytics, 2020. https://culturalanalytics.org/article/12266-what-s-in-a-face-gender-representation-of-faces-in-time-1940s-1990s. Cite
Journal of Cultural Analytics. “Home Page,” 2020. https://culturalanalytics.org/. Cite
So, Richard Jean, and Edwin Roland. “Race and Distant Reading.” PMLA 135, no. 1 (2020): 59–73. https://doi.org/10.1632/pmla.2020.135.1.59. Cite
Liu, Alan. “Toward a Diversity Stack: Digital Humanities and Diversity as Technical Problem.” PMLA 135, no. 1 (2020): 130–51. https://doi.org/10.1632/pmla.2020.135.1.130. Cite
Underwood, Ted. “Machine Learning and Human Perspective.” PMLA 135, no. 1 (2020): 92–109. https://doi.org/10.1632/pmla.2020.135.1.92. Cite
So, Richard Jean, Hoyt Long, and Yuancheng Zhu. “Race, Writing, and Computation: Racial Difference and the US Novel, 1880-2000.” Journal of Cultural Analytics, 2019. https://culturalanalytics.org/article/11057-race-writing-and-computation-racial-difference-and-the-us-novel-1880-2000. Cite
Da, Nan Z. “The Computational Case against Computational Literary Studies.” Critical Inquiry 45, no. 3 (2019): 601–39. https://doi.org/10.1086/702594. Cite
Bode, Katherine. A World of Fiction: Digital Collections and the Future of Literary History. Ann Arbor, MI: University of Michigan Press, 2018. https://www.press.umich.edu/8784777/world_of_fiction. Cite
Paiella, Giorgina. “The Canon.” WhatEvery1Says Project (WE1S), 2018. https://we1s.ucsb.edu/research/we1s-findings/reports/scoping-research-reports/the-canon/. Cite
Lee, James Jaehoon, Blaine Greteman, Jason Lee, and David Eichmann. “Linked Reading: Digital Historicism and Early Modern Discourses of Race around Shakespeare’s Othello.” Journal of Cultural Analytics, 2018. https://culturalanalytics.org/article/11034-linked-reading-digital-historicism-and-early-modern-discourses-of-race-around-shakespeare-s-othello. Cite
Underwood, William E., David Bamman, and Sabrina Lee. “The Transformation of Gender in English-Language Fiction.” Journal of Cultural Analytics, 2018. https://culturalanalytics.org/article/11035-the-transformation-of-gender-in-english-language-fiction. Cite
Evans, Elizabeth, and Matthew Wilkens. “Nation, Ethnicity, and the Geography of British Fiction, 1880-1940.” Journal of Cultural Analytics, 2018. https://culturalanalytics.org/article/11037-nation-ethnicity-and-the-geography-of-british-fiction-1880-1940. Cite
Fyfe, Paul, and Qian Ge. “Image Analytics and the Nineteenth-Century Illustrated Newspaper.” Journal of Cultural Analytics, 2018. https://culturalanalytics.org/article/11032-image-analytics-and-the-nineteenth-century-illustrated-newspaper. Cite
Piper, Andrew. Enumerations: Data and Literary Study. Chicago ; London: The University of Chicago Press, 2018. Cite
Liu, Alan, Scott Kleinman, Jeremy Douglass, Lindsay Thomas, Ashley Champagne, and Jamal Russell. “Open, Shareable, Reproducible Workflows for the Digital Humanities: The Case of the 4Humanities.Org ‘WhatEvery1Says’ Project.” In Digital Humanities 2017 Conference Abstracts. Montreal: Alliance of Digital Humanities Organizations (ADHO), 2017. Cite
Algee-Hewitt, Mark, Sarah Allison, Marissa Gemma, Ryan Heuser, Franco Moretti, and Hannah Walser. Canon/Archive: Large-Scale Dynamics in the Literary Field. Vol. 11. Stanford Literary Lab Pamphlets. Stanford, CA: Stanford Literary Lab, 2016. https://litlab.stanford.edu/LiteraryLabPamphlet11.pdf. Cite
Long, Hoyt, and Richard Jean So. “Literary Pattern Recognition: Modernism between Close Reading and Machine Learning.” Critical Inquiry 42, no. 2 (2016): 235–67. https://doi.org/10.1086/684353. Cite
Algee-Hewitt, Mark, and Mark McGurl. Between Canon and Corpus: Six Perspectives on 20th-Century Novels. Vol. 8. Stanford Literary Lab Pamphlets. Stanford, CA: Stanford Literary Lab, 2015. https://litlab.stanford.edu/LiteraryLabPamphlet8.pdf. Cite
Jockers, Matthew Lee. Macroanalysis: Digital Methods and Literary History. Topics in the Digital Humanities. Urbana: University of Illinois Press, 2013. Cite
De Bolla, Peter. The Architecture of Concepts: The Historical Formation of Human Rights. New York: Fordham University Press, 2013. Cite
Moretti, Franco. Distant Reading. 1 edition. London ; New York: Verso, 2013. Cite
Moretti, Franco. Graphs, Maps, Trees: Abstract Models for Literary History. London New York: Verso, 2007. Cite