During their presentations, our speakers often reference other researchers' work. Some are also kind enough to send us additional resources after their presentations. This page is a gathering place for those references.
Arendt, Hannah. The Origins of Totalitarianism. Harcourt Brace Jovanovich, 1973.
Castillo, David R. Un-deceptions: Cervantine strategies for the disinformation age. Linguatext, 2021.
Castillo, David R., and William Egginton. Medialogies : Reading Reality in the Age of Inflationary Media. Bloomsbury Academic, 2017.
Castillo, David R., and William Egginton. What would Cervantes do? McGill-Queen's University Press, 2022.
Cervantes Saavedra, Miguel de. El retablo de las maravillas : y El retablo de maese Pedro = The pupper-show of wonders and the pupper-show of Master Pedro. Las Américas, 1968.
O’Neil, Cathy. Weapons of Math Destruction : How Big Data Increases Inequality and Threatens Democracy. Crown, 2016.
Oreskes, Naomi., and Erik M. Conway. Merchants of Doubt : How a Handful of Scientists Obscured the Truth on Issues from Tobacco Smoke to Global Warming. Bloomsbury Press, 2010.
Sandel, Michael J. What Money Can’t Buy : the Moral Limits of Markets. Farrar, Straus and Giroux, 2012.
Stengel, Richard. Information Wars : How We Lost the Global Battle Against Disinformation & What We Can Do About It. Atlantic Monthly Press, 2019.
Taibbi, Matt. Hate Inc. : Why Today’s Media Makes Us Despise One Another. OR Books, 2019.
Vaidhyanathan, Siva. The Googlization of Everything : (and Why We Should Worry). University of California Press, 2011.
Wu, Tim. The Attention Merchants : the Epic Scramble to Get Inside Our Heads. First edition., Alfred A. Knopf, 2016.
Zuboff, Shoshana. The Age of Surveillance Capitalism : the Fight for a Human Future at the New Frontier of Power. PublicAffairs, 2019.
Dr. Rodriguez mentioned several books during her presentation, and they are listed here.
Brock, André L. Distributed Blackness : African American Cybercultures. New York University Press, 2020.
McIlwain, Charlton D. Black Software : the Internet and Racial Justice, from the AfroNet to Black Lives Matter. Oxford University Press, 2020.
Stern, Alexandra Minna. Proud Boys and the White Ethnostate. Penguin Ranom House, 2020.
Tufekci, Zeynep. Twitter and Tear Gas: The Power and Fragility of Networked Protest. Yale University Press, 2017.
This bibliography contains further reading in the literary usage of data digitization.
Abbas, Mourad, et al. “Classification of Arabic Poems: From the 5th to the 15th Century.” New Trends in Image Analysis and Processing – ICIAP 2019, Springer International Publishing, 2019, pp. 179–86, doi:10.1007/978-3-030-30754-7_18.
Gao, Jianbo, et al. "A multiscale theory for the dynamical evolution of sentiment in novels," 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC), 2016, pp. 1-4, doi: 10.1109/BESC.2016.7804470.
Gottschall, Jonathan. Literature, Science, and a New Humanities. Palgrave Macmillan, 2008.
Hoorn, Johan F., et al. “Neural Network Identification of Poets Using Letter Sequences.” Literary and Linguistic Computing, vol. 14, no. 3, Oxford University Press, 1999, pp. 311–38, doi:10.1093/llc/14.3.311.
Jockers, Matthew Lee. Macroanalysis : Digital Methods and Literary History. University of Illinois Press, 2013.
Moretti, Franco. Graphs, Maps, Trees : Abstract Models for a Literary History. Verso, 2005.
Navarro-Colorado, Borja. “On Poetic Topic Modeling: Extracting Themes and Motifs From a Corpus of Spanish Poetry.” Frontiers in Digital Humanities, vol. 5, Frontiers Research Foundation, 2018, doi:10.3389/fdigh.2018.00015.
Proceedings of the 9th Conference of the Japanese Association for Digital Humanities, August 29-31, 2019, Kansai University, Senriyama Campus.
Reagan, Andrew J., et al. “The Emotional Arcs of Stories Are Dominated by Six Basic Shapes.” EPJ Data Science, vol. 5, no. 1, Springer Berlin Heidelberg, 2016, pp. 1–12, doi:10.1140/epjds/s13688-016-0093-1.
Sinclair, John McHardy, and Ronald Carter. Trust the Text: Language, Corpus and Discourse. Routledge, 2004.
Walter, Dror, and Yotam Ophir. “News Frame Analysis: An Inductive Mixed-Method Computational Approach.” Communication Methods and Measures, vol. 13, no. 4, Routledge, 2019, pp. 248–66, doi:10.1080/19312458.2019.1639145.
Ophir, Yotam, et al. “Counteracting Misleading Protobacco YouTube Videos: The Effects of Text-Based and Narrative Correction Interventions and the Role of Identification.” International Journal of Communication, vol. 14, 2020, pp. 4973–88.
Ophir, Yotam, et al. “The Effects of Graphic Warning Labels’ Vividness on Message Engagement and Intentions to Quit Smoking.” Communication Research, vol. 46, no. 5, 2019, pp. 619–38, doi:10.1177/0093650217700226.
Ophir, Yotam, and Kathleen Hall Jamieson. “Intentions to Use a Novel Zika Vaccine: The Effects of Misbeliefs About the MMR Vaccine and Perceptions About Zika.” Journal of Public Health (Oxford, England), vol. 40, no. 4, 2018, pp. E531–E537, doi:10.1093/pubmed/fdy042.
Sangalang, Angeline, et al. “The Potential for Narrative Correctives to Combat Misinformation.” Journal of Communication, vol. 69, no. 3, 2019, pp. 298–319, doi:10.1093/joc/jqz014.
Walter, Dror, et al. “Russian Twitter Accounts and the Partisan Polarization of Vaccine Discourse, 2015-2017.” American Journal of Public Health (1971), vol. 110, no. 5, pp. 718–24, doi:10.2105/AJPH.2019.305564.
Ziarek, Ewa. "Triple Pandemics: COVID-19, Anti-Black Violence, and Digital Capitalism." Philosophy Today. vol. 64, 26 Nov. 2020. doi:10.5840/philtoday20201124377.
If you are looking for the suggested readings for our April 16, 2021 symposium, "Automation, Algorithms, and Bias, from Settler Colonialism through the Future of Auditing," you can find those in this research guide.