Here are the required readings for the UC Berkeley class of 2020.
First, read the instructions for how to use Hypothes.is with these PDFs.
Then, read these tips on how to annotate.
Eagleton, Terry, How to Read Literature (New Haven & London: Yale University Press, 2013), Chapter 4: Interpretation.
Jockers, Matthew L. Macroanalysis: Digital Methods and Literary History. University of Illinois Press, 2013, Chapter 2: Evidence.
Smith, Barbara Herrnstein, ‘What Was “Close Reading”?’, The Minnesota Review, 2016, 57–75.
Ramsay, Stephen, ‘The Hermeneutics of Screwing Around; or What You Do with a Million Books’, in Playing with Technology in History Conference (Niagara-on-the-Lake, 2010), pp. 1–9.
Barthes, Roland, Mythologies (New York: Noonday, 1972), Chapter 2: Myth Today.
Derrida, Jacques, Writing and Difference (London and New York: Routledge), Chapter 10: Structure, Sign and Play in the Discourse of the Human Sciences.
Geertz, Clifford, The Interpretation of Cultures (New York: Basic Books, Inc., 1973) – Chapter 1: Thick Description.
Gadamer, Hans Georg, Truth and Method – selection (New York: Continuum, 2004).
de Mul, Jos, ‘Horizons of Hermeneutics: Intercultural Hermeneutics in a Globalizing World’, Frontiers of Philosophy in China, 6 (2011), 628–55.
Fanon, Frantz (2008) Black men, white masks. Men at Play. New York: Grove Press (Chapter 1).
Ihde, Don, Expanding Hermeneutics: Visualism in Science (Evanston: Northeastern University Press, 1998), Part 4: Expanding Hermeneutics.
Weingart, Scott, ‘The Myth of Text Analysis and Unobtrusive Measurement’. 2012.
Mountford, J.B., ‘Topic Modeling The Red Pill’, Social Sciences, 7 (2018), 42.
Gerbaudo, Paolo, ‘From Data Analytics to Data Hermeneutics: The Continuing Relevance of Interpretive Approaches’, Digital Culture & Society, 2 (2016).
Best, Stephen, and Sharon Marcus, ‘Surface Reading: An Introduction’, Representations, 108 (2009), 1–21.
Sedgwick, Eve, ‘Reparative and Paranoid Reading’, in Touching Feeling (Durham: Duke University Press, 2002).
Sontag, Susan, Against Interpretation (New York: Farrar, Straus and Giroux, 2004).
Da, Nan Z. “The Computational Case against Computational Literary Studies.” Critical Inquiry, vol. 45, no. 3, 2019, pp. 601–39.