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Lehrende: M. A. Judith Brottrager
Veranstaltungsart:
Seminar
Orga-Einheit: FB02 / Sprach- und Literaturwissenschaft (Institut)
Anzeige im Stundenplan:
02-25-1087-se
Fach:
Anrechenbar für:
Semesterwochenstunden:
2
Unterrichtssprache:
Englisch
Min. | Max. Teilnehmerzahl:
- | 35
Lehrinhalte:
In this seminar, we will cover different forms of metadata analysis in the field of computational literary studies (CLS). By the end of the semester, you will have acquired useful practical skills, such as data wrangling, web scraping, and data visualisation with the programming language R. The seminar is designed as a combination of several hands-on sessions, in which we will practice these skills together, and presentations slots, in which you are expected to present your own metadata analyses and link them back to previous research. Throughout the semester, we will be working with three different data sets: New York Times Fiction Bestsellers 1931-2020, British Fiction 1800-1829, and Fanfiktion.de 2020.
Literatur:
Algee-Hewitt, Mark, Sarah Allison, Marissa Gemma, Ryan Heuser, Franco Moretti, and Hannah Walser. 2016. ‘Canon/Archive. Large-Scale Dynamics in the Literary Field’. Pamphlets of the Stanford Literary Lab 11. https://litlab.stanford.edu/LiteraryLabPamphlet11.pdf.
Bode, Katherine. 2018. ‘Into the Unknown: Literary Anonymity and the Inscription of Reception’. In A World of Fiction: Digital Collections and the Future of Literary History. Ann Arbor, MI: University of Michigan Press, 85–121.
D’Ignazio, Catherine, and Lauren F. Klein. 2020. ‘What Gets Counted Counts’. In Data Feminism. Cambridge, MA: The MIT Press, 97–123.
Jockers, Matthew L. 2013. ‘Metadata’. In Macroanalysis: Digital Methods and Literary History. Urbana, IL: University of Illinois Press, 35–62.
Porter, J.D. 2018. ‘Popularity/Prestige’. Pamphlets of the Stanford Literary Lab 17. https://litlab.stanford.edu/LiteraryLabPamphlet17.pdf.
Riddell, Allen, and Michael Betancourt. 2021. ‘Reassembling the English Novel, 1789–1919’. Journal of Cultural Analytics. https://doi.org/10.22148/001c.19102.
Underwood, Ted, and Jordan Sellers. 2016. ‘The Longue Durée of Literary Prestige’. Modern Language Quarterly 77 (3): 321–44. https://doi.org/10.1215/00267929-3570634.
Voraussetzungen:
Prior experience with programming (especially in R) is advantageous.
If you have no programming experience, introductory material will be provided, but due to time constraints, we will not be able to cover these sources in detail.
Participants are expected to use R (or their preferred programming language) for their final project.
Online-Angebote:
moodle
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