Publications
Articles
Algee-Hewitt, M., Porter, J. D., & Walser, H. (2020). Representing Race and Ethnicity in American Fiction, 1789-1920. Cultural Analytics, 5. https://culturalanalytics.org/article/18509
Manshel, A. (2020). The Lag: Technology and Fiction in the Twentieth Century. https://www.cambridge.org/core/journals/pmla/article/abs/lag-technology-and-fiction-in-the-twentieth-century/E3F01059F884F267E0134CA17930BDF8
Mavrody, N., McGrath, L. B., Nomura, N., & Sherman, A. (2021). Voice. 7. https://www.theatlantic.com/culture/archive/2021/07/tv-adaptations-fiction/619442/
Porter, J. D., Ilchuk, Y., & Dombrowski, Q. (2022). Linguistic Fingerprints on Translation’s Lens. Special Issue on Collecting, Preserving, and Disseminating Endangered Cultural Heritage for New Understandings through Multilingual Approaches. https://doi.org/10.46298/jdmdh.7223
Thong, C., & Doyle, A. (2023). Conceptual anatomy of the female genitalia using text mining and implications for patient care. Medical Humanities. https://mh.bmj.com/content/early/2023/12/26/medhum-2023-012747
Warner, M. (2023). A Queer Way of Counting: Bibliography and Computational Approaches to the Queer Novel. https://newliteraryhistory.org/forthcoming-issue/
Chapters in Edited Volumes
Algee-Hewitt, M., Fredner, E., & Walser, H. (2018). The Novel as Data. In E. Bulson (Ed.), The Cambridge Companion to the Novel (pp. 189–215). https://doi.org/10.1017/9781316659694.013
Contributions to Proceedings
McClure, D., Algee-Hewitt, M., Douris, S., Fredner, E., & Walser, H. (2017). Organizing corpora at the Stanford Literary Lab: Balancing simplicity and flexibility in metadata management. Proceedings of the Workshop on Challenges in the Management of Large Corpora and Big Data and Natural Language Processing, 25–29. https://d-nb.info/1137282347/34
Popular Press
Manshel, A., McGrath, L. B., & Porter, J. D. (2019). Who Care About Literary Prizes? https://www.publicbooks.org/who-cares-about-literary-prizes/
Manshel, A., McGrath, L. B., & Porter, J. D. (2021). The Rise of Must-Read TV. https://www.theatlantic.com/culture/archive/2021/07/tv-adaptations-fiction/619442/
McGrath, L. B. (2019). Comping White. https://lareviewofbooks.org/article/comping-white/
Literary Lab Pamphlets
Algee-Hewitt, M., Allison, S., Gemma, M., Heuser, R., Moretti, F., & Walser, H. (2016). Canon/Archive. Large-scale Dynamics in the Literary Field. Stanford Literary Lab Pamphlets, 11. https://litlab.stanford.edu/LiteraryLabPamphlet11.pdf
Algee-Hewitt, M., & McGurl, M. (2015). Between Canon and Corpus: Six Perspectives on 20th-Century Novels. Stanford Literary Lab, 8. https://litlab.stanford.edu/LiteraryLabPamphlet8.pdf
Allison, S., Gemma, M., Heuser, R., Moretti, F., Tevel, A., & Yamboliev, I. (2013). Style at the Scale of the Sentence. Stanford Literary Lab Pamphlets, 5. https://litlab.stanford.edu/LiteraryLabPamphlet5.pdf
Allison, S., Heuser, R., Jockers, M., Moretti, F., & Witmore, M. (2011). Quantitative Formalism: An Experiment. Stanford Literary Lab Pamphlets, 1. https://litlab.stanford.edu/LiteraryLabPamphlet1.pdf
Allison, S., Heuser, R., Jockers, M., Moretti, F., & Witmore, M. (2011). Network Theory, Plot Analysis. Stanford Literary Lab Pamphlets, 2. https://litlab.stanford.edu/LiteraryLabPamphlet2.pdf
Finn, E. (2011). Becoming Yourself: The Afterlife of Reception. Stanford Literary Lab Pamphlets, 3. https://litlab.stanford.edu/LiteraryLabPamphlet3.pdf
Heuser, R., & Le-Khac, L. (2012). A Quantitative Literary History of 2,958 Nineteenth-Century British Novels: The Semantic Cohort Method. Stanford Literary Lab Pamphlets, 4. https://litlab.stanford.edu/LiteraryLabPamphlet4.pdf
Heuser, R., Moretti, F., & Steiner, E. (2016). The Emotions of London. Stanford Literary Lab Pamphlets, 13. https://litlab.stanford.edu/LiteraryLabPamphlet13.pdf
Impett, L., & Moretti, F. (2017). Totentanz. Operationalizing Aby Warburg’s Pathosformeln. Stanford Literary Lab Pamphlets, 16. https://litlab.stanford.edu/LiteraryLabPamphlet16.pdf
Porter, J. D. (2018). Popularity/Prestige. Stanford Literary Lab Pamphlets, 17. https://litlab.stanford.edu/LiteraryLabPamphlet17.pdf
Kanatova, M., Milyakina, A., Pilipovec, T., Shelya, A., Sobchuk, O., & Tinits, P. (2017). Broken Time, Continued Evolution: Anachronies in Contemporary Films. Stanford Literary Lab Pamphlets, 14. https://litlab.stanford.edu/LiteraryLabPamphlet14.pdf
Katsma, H. (2014). Loudness in the Novel. Stanford Literary Lab Pamphlets, 7. https://litlab.stanford.edu/LiteraryLabPamphlet7.pdf
Moretti, F. (2013). “Operationalizing”: Or, the function of measurement in modern literary theory. Stanford Literary Lab Pamphlets, 6. https://litlab.stanford.edu/LiteraryLabPamphlet6.pdf
Moretti, F. (2016). Literature, Measured. Stanford Literary Lab Pamphlets, 12. https://litlab.stanford.edu/LiteraryLabPamphlet12.pdf
Moretti, F. (2017). Patterns and Interpretation. Stanford Literary Lab Pamphlets, 15. https://litlab.stanford.edu/LiteraryLabPamphlet15.pdf
Moretti, F., & Pestre, D. (2015). Bankspeak: The Language of World Bank Reports, 1946-2012. Stanford Literary Lab Pamphlets, 9. https://litlab.stanford.edu/LiteraryLabPamphlet9.pdf
Moretti, F., & Pestre, D. (2015). On Paragraphs. Scale, Themes, and Narrative Form. Stanford Literary Lab Pamphlets, 10. https://litlab.stanford.edu/LiteraryLabPamphlet10.pdf
Data-Sitters Club Books
Algee-Hewitt, M., Bowers, K., Dombrowski, Q., & Froehlich, H. (2021). Heather Likes Principal Component Analysis. The Data-Sitters Club, 10. https://datasittersclub.github.io/site/dsc10.html
Anand, S., Dombrowski, Q., & Schofield, X. (2023). Xanda Rescues the Topic Modeling Disaster. The Data-Sitters Club, 20. https://datasittersclub.github.io/site/dsc20.html
Bernstein, D., Dombrowski, Q., & Algee-Hewitt, M. (2022). Little Miss California Stereotype… and the BY Times. The Data-Sitters Club, 15. https://datasittersclub.github.io/site/dsc15.html
Beshero-Bondar, E., Besette, L. S., Dombrowski, Q., & Risam, R. (2020). The DSC and the Impossible TEI Quandaries. The Data-Sitters Club, 5. https://datasittersclub.github.io/site/dsc5.html
Bessette, L. S., Cecire, M. S., Dombrowski, Q., & Risam, R. (2022). Goodbye, Friends, Goodbye. The Data-Sitters Club, 13. https://datasittersclub.github.io/site/dsc13.html
Bessette, L. S., & Dombrowski, Q. (2020). Lee and the Missing Metadata. The Data-Sitters Club, M01. https://datasittersclub.github.io/site/dscm1.html
Bessette, L. S., & Dombrowski, Q. (2020). Beware, Lee and Quinn! The Data-Sitters Club, M02. https://datasittersclub.github.io/site/dscm2.html
Bessette, L. S., & Dombrowski, Q. (2020). Quinn and Lee Clean Up Ghost Cat Data-Hairballs. The Data-Sitters Club, M03. https://datasittersclub.github.io/site/dscm3.html
Bessette, L. S., Dombrowski, Q., & Gribomont, I. (2021). Isabelle and the Missing Spaghetti-O’s. The Data-Sitters Club, M04. https://datasittersclub.github.io/site/dscm4.html
Bessette, L. S., Dombrowski, Q., & Gribomont, I. (2023). Lee & Quinn and the Mystery in the French NLP Model. The Data-Sitters Club, M05. https://datasittersclub.github.io/site/dscm5.html
Bowers, K. (2020). Voyant’s Big Day. The Data-Sitters Club, 6. https://datasittersclub.github.io/site/dsc6.html
Bowers, K., & Dombrowski, Q. (2019). Katia and the Phantom Corpus. The Data-Sitters Club, 2. https://datasittersclub.github.io/site/dsc2.html
Bowers, K., & Dombrowski, Q. (2021). Katia and the Sentiment Snobs. The Data-Sitters Club, 11. https://datasittersclub.github.io/site/dsc11.html
Bowers, K., Dombrowski, Q., & Risam, R. (2021). The DSC and the New Programming Language. The Data-Sitters Club, 12. https://datasittersclub.github.io/site/dsc12.html
Cecire, M. S. (2020). The Truth About Digital Humanities Collaborations (and Textual Variants!). The Data-Sitters Club, 3. https://datasittersclub.github.io/site/dsc3.html
Cordell, C. (2022). Cadence’s Archives Mystery. The Data-Sitters Club, 17. https://datasittersclub.github.io/site/dsc17.html
Cordell, C., Dombrowski, Q., & Layne-Worthey, G. (2022). The Data-Sitters’ HathiTrust Mistake. The Data-Sitters Club, 18. https://datasittersclub.github.io/site/dsc18.html
Dombrowski, Q. (2019). Quinn’s Great Idea. The Data-Sitters Club, 1. https://datasittersclub.github.io/site/dsc1.html
Dombrowski, Q. (2020). Text-Comparison-Algorithm-Crazy Quinn. The Data-Sitters Club, 8. https://datasittersclub.github.io/site/dsc8.html
Dombrowski, Q., & Sag, M. (2020). The DSC and Mean Copyright Law. The Data-Sitters Club, 7. https://datasittersclub.github.io/site/dsc7.html
Dombrowski, Q., Samberg, R., & Stallman, E. (2022). Hello, DMCA Exemption. The Data-Sitters Club, 14. https://datasittersclub.github.io/site/dsc14.html
Dombrowski, Q., & Staples, S. (2023). Shelley and the Bad Corpus. The Data-Sitters Club, 19. https://datasittersclub.github.io/site/dsc19.html
Lang, A., Dombrowski, Q., & Lamar, A. K. (2021). The Ghost in Anouk’s Laptop. The Data-Sitters Club, 9. https://datasittersclub.github.io/site/dsc9.html
Salter, A., Dombrowski, Q., Dombrowski, S., & Dombrowski, P. (2022). Anastasia’s Secret Language. The Data-Sitters Club, 16. https://datasittersclub.github.io/site/dsc16.html