Author: Laura McCann

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Laura McCann is a Rhetoric PhD candidate at Carnegie Mellon University working within the rhetoric of health and medicine, technical communication, and digital rhetorics. Her current project studies master narratives of infertility and the rhetorical strategies patients employ to make sense of these disruptive medical experiences.

2021-2022 was an exciting year for the Sweetland DRC Fellows. As their fellowship draws to a close, our six fellows offer reflections on their experiences and projects. This year’s cohort continued to focus on themes of accessibility, ethics, and activism, along with several other topics within the field of digital rhetoric. Our blog carnival explored emerging perspectives on new media technologies, and a new teaching materials page was created to showcase crowd-sourced classroom activities, texts, and prompts. In addition, our fellows created a new podcast, the DRC Talk Series, which features prominent scholars currently working in the field of digital…

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Dr. Wilfredo Flores is an assistant professor and former DRC Fellow at the University of North Carolina specializing in digital cultural rhetorics, and colonial intimacies between science, technologies, and medicine. Scholars and Works Mentioned/Discussed Click the link below to download the transcript

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Dr. Caddie Alford is an Assistant Professor at Virginia Commonwealth University specializing in social media culture, feminism, and writing pedagogies. Scholars and Works Mentioned/Discussed Brooke, Collin. Lingua Fracta: Toward a Rhetoric of New Media. Hampton Press, 2009 Wendy Chun, https://digitaldemocracies.org/ Lennard, Natasha. Becoming Numerous: Essays on Anti-Facist Life. Verso, 2019 Russell, Legacy. Glitch Feminism: A Manifesto. Verso, 2020 Samantha North, https://samanthanorth.com/ Lockett, Alexandria L., et al., editors. Race, Rhetoric, and Research Methods. The WAC Clearinghouse, 2021. Click the link below to download the transcript

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Dr. Graham is an Associate Professor at the University of Texas at Austin studying bioscience and health policy through AI and machine learning. Scholars and Works Mentioned/Discussed Hsieh, H.-F., & Shannon, S. E. (2005). Three Approaches to Qualitative Content Analysis. Qualitative Health Research, 15(9), 1277–1288. https://doi.org/10.1177/1049732305276687 Graham, S. Scott (2022). The Doctor and the Algorithm: Promise, Peril, and the Future of Health AI. Oxford University Press. https://sscottgraham.com/ Silge, Julia & David Robinson (2017). Text Mining with R: A Tidy Approach. O’Reilly Media. Hvitfeldt, Emil & Julia Silge (2021). Supervised Machine Learning for Text Analysis in R. Chapman Hall/CRC. edX -…

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