English 146DS (W 2022) – Bibliography

Cumulative Bibliography for English 197 (F 2022)

Introduction to Digital Humanities

This is the main course website. There is also a course Canvas site for uploading assignments.

The following is a cumulative bibliography of readings and other materials assigned in the course. (This bibliography is part of a group library kept in Zotero and automatically pulled into the WordPress site for the course using the Zotpress plugin.)

To see just the works from this bibliography specific to a particular class, see the “Biblio” buttons on the Schedule page: Biblio button on course pages

Example of “Biblio” button on Schedule page
Ajayi, Demi. “How BERT and GPT Models Change the Game for NLP.” Watson Blog (blog), 2020. https://www.ibm.com/blogs/watson/2020/12/how-bert-and-gpt-models-change-the-game-for-nlp/. Cite
Bandyopadhyay, Saptarashmi, Jason Xu, Neel Pawar, and David Touretzky. “Word Embedding Demo: Tutorial.” Proceedings of the AAAI Conference on Artificial Intelligence, 2022. https://ojs.aaai.org/index.php/AAAI/article/view/21548. Cite
Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–23. FAccT ’21. Virtual Event, Canada: Association for Computing Machinery, 2021. https://doi.org/10.1145/3442188.3445922. Cite
Blei, David M. “Probabilistic Topic Models.” Communications of the ACM 55, no. 4 (2012): 77–84. https://doi.org/10.1145/2133806.2133826. Cite
Borgatti, Stephen P., Ajay Mehra, Daniel J. Brass, and Giuseppe Labianca. “Network Analysis in the Social Sciences.” Science 323, no. 5916 (2009): 892–95. https://doi.org/10.1126/science.1165821. Cite
Brooks, Cleanth. “The Heresy of Paraphrase.” In The Well Wrought Urn: Studies in the Structure of Poetry, 192–214. New York: Harcourt Brace Jovanovich, 1947. Cite
Firth, J. [John] R. [Rupert]. “A Synopsis of Linguistic Theory, 1930-55.” In Studies in Linguistic Analysis, 1–31. Oxford: Blackwell, 1957. Cite
Goldstone, Andrew. “A Topic Model of Literary Studies Journals,” 2014. https://www.sas.rutgers.edu/virtual/ag978/quiet/#/model/grid. Cite
Goldstone, Andrew, and Ted Underwood. “The Quiet Transformations of Literary Studies: What Thirteen Thousand Scholars Could Tell Us.” New Literary History 45, no. 3 (2014): 359–84. https://doi.org/10.1353/nlh.2014.0025. Cite
Goldstone, Andrew, Susana Galán, C. Laura Lovin, Andrew Mazzaschi, and Lindsey Whitmore. “Topics in Signs: A Topic Model of the Signs Archive.” Signs at 40, 2014. http://signsat40.signsjournal.org/topic-model/#/about. Cite
Gregory, Ian, and David Cooper. “Geographical Technologies and the Interdisciplinary Study of Peoples and Cultures of the Past.” Journal of Victorian Culture 18, no. 2 (2013): 265–72. https://doi.org/10.1080/13555502.2013.797686. Cite
Heuser, Ryan. “Word Vectors in the Eighteenth Century.” Ryan Heuser (blog), 2016. https://ryanheuser.org/word-vectors/. Cite
Heuser, Ryan, and Long Le-Khac. A Quantitative Literary History of 2,958 Nineteenth-Century British Novels: The Semantic Cohort Method. Stanford Literary Lab Pamphlets 4. Stanford University: Stanford Literary Lab, 2012. http://litlab.stanford.edu/LiteraryLabPamphlet4.pdf. Cite
Liu, Yin. “Ways of Reading, Models for Text, and the Usefulness of Dead People.” Scholarly and Research Communication 5, no. 2 (2014). https://doi.org/10.22230/src.2014v5n2a148. Cite
Liu, Alan. “Transcendental Data: Toward a Cultural History and Aesthetics of the New Encoded Discourse.” Critical Inquiry 31, no. 1 (2004): 49–84. https://doi.org/10.1086/427302. Cite
Meeks, Elijah, and Scott B. Weingart. “Introduction to Network Analysis and Representation,” n. d. http://emeeks.github.io/networks/. Cite
Michel, Jean-Baptiste, Yuan Kui Shen, Aviva Presser Aiden, Adrian Veres, Matthew K. Gray, The Google Books Team, Joseph P. Pickett, et al. “Quantitative Analysis of Culture Using Millions of Digitized Books.” Science 331, no. 6014 (2011): 176–82. https://doi.org/10.1126/science.1199644. Cite
Moretti, Franco. Network Theory, Plot Analysis. Stanford Literary Lab Pamphlets 2. Stanford University: Stanford Literary Lab, 2011. http://litlab.stanford.edu/LiteraryLabPamphlet2.pdf. Cite
Moretti, Franco. Graphs, Maps, Trees: Abstract Models for a Literary History. Paperback ed. London: Verso, 2007. Cite
Nicholson, Chris. “A Beginner’s Guide to Neural Networks and Deep Learning.” Pathmind, n. d. http://wiki.pathmind.com/neural-network. Cite
Pascual-Ferrá, Paola, Neil Alperstein, and Daniel J. Barnett. “Social Network Analysis of COVID-19 Public Discourse on Twitter: Implications for Risk Communication.” Disaster Medicine and Public Health Preparedness, 2020, 1–9. https://doi.org/10.1017/dmp.2020.347. Cite
Piper, Andrew. “Topoi (Dispersion).” In Enumerations: Data and Literary Study, 66–93. Chicago: Univ. of Chicago Press, 2019. Cite
Raley, Rita, and Minh Hua. “Playing With Unicorns: AI Dungeon and Citizen NLP.” Digital Humanities Quarterly 14, no. 4 (2020). http://www.digitalhumanities.org/dhq/vol/14/4/000533/000533.html. Cite
Saussure, Ferdinand de. Course in General Linguistics. Edited by Charles Bally and Albert Sechehaye. Translated by Wade Baskin. New York: Philosophical Library, 1959. https://archive.org/details/courseingenerall00saus. Cite
Schmidt, Benjamin. “Vector Space Models for the Digital Humanities.” Bookworm (blog), 2015. http://bookworm.benschmidt.org/posts/2015-10-25-Word-Embeddings.html. 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
Underwood, Ted. “Topic Modeling Made Just Simple Enough.” The Stone and the Shell (blog), 2012. https://tedunderwood.com/2012/04/07/topic-modeling-made-just-simple-enough/. Cite
Warner, William, Kimberley Knight, and Transliteracies Project History of Reading Group. In the Beginning Was the Word: A Visualization of the Page as Interface. University of California, Santa Barbara: Transcriptions Center, n. d. http://transliteracies.english.ucsb.edu/images/flash_projects/john-morph.html. Cite
Warren, Christopher N., Daniel Shore, Jessica Otis, Scott B. Weingart, and John Ladd. “Six Degrees of Francis Bacon,” 2015. http://sixdegreesoffrancisbacon.com/. Cite
Warren, Christopher N., Daniel Shore, Jessica Otis, Lawrence Wang, Mike Finegold, and Cosma Shalizi. “Six Degrees of Francis Bacon: A Statistical Method for Reconstructing Large Historical Social Networks.” Digital Humanities Quarterly 010, no. 3 (2016). http://digitalhumanities.org/dhq/vol/10/3/000244/000244.html. Cite

 

This is the main course website. There is also a course Canvas site for uploading assignments.
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