Bibliograpy
WROC Bibliography
While still a work-in-progress, this bibliography aims at being an important collection of scholarship for the subfield of the writing and rhetoric of code.
To find another list of readings, including tangentially related research from adjacent disciplines and fields, visit the WROC Zotero Group.
articles
- Gupta, Anuj, Atef, Yasser, Mills, Anna, and Bali, Maha. (2024). Assistant, Parrot, or Colonizing Loudspeaker? ChatGPT Metaphors for Developing Critical AI Literacies. Open Praxis.
- Lindgren, Chris. (2024). A Stasis Network Methodology to Reckon with the Rhetorical Process of Data: How a Data Team Qualified Meaning and Practices. Technical Communication Quarterly. https://doi.org/10.1080/10572252.2024.2306259
- Byrd, Antonio. (2023). Truth-Telling: Critical Inquiries on LLMs and the Corpus Texts That Train Them. Composition Studies, 51(1), pp. 135–142.
- Graham, S. Scott. (2023). Post-Process but Not Post-Writing: Large Language Models and a Future for Composition Pedagogy. Composition Studies, 51(1), pp. 162–168.
- Morrison, Aimée. (2023). Meta-Writing: AI and Writing. Composition Studies, 51(1), pp. 155-161.
- Gallagher, John R.. (2023). Lessons Learned from Machine Learning Researchers about the Terms 'Artificial Intelligence' and 'Machine Learning'. Composition Studies, 51(1), pp. 149-154.
- Vee, Annette. (2023). Large Language Models Write Answers. Composition Studies, 51(1), pp. 176–181.
- Johnson, Gavin P.. (2023). Don't Act Like You Forgot: Approaching Another Literacy 'Crisis' by (Re)Considering What We Know about Teaching Writing with and through Technologies. Composition Studies, 51(1), pp. 169–175.
- Owusu-Ansah, Alfred L.. (2023). Defining Moments, Definitive Programs, and the Continued Erasure of Missing People. Composition Studies, 51(1), pp. 143–148.
- Stanton, Courtney. (2023). A Dis-Facilitated Call for More Writing Studies in the New AI Landscape; or, Finding Our Place Among the Chatbots. Composition Studies, 51(1), pp. 182-186.
- Rea, Ashley. (2022). Coding Equity: Social Justice and Computer Programming Literacy Education. IEEE Transactions on Professional Communication, 65(1), pp. 87-103. https://doi.org/10.1109/TPC.2022.3143965
- Gouge, Catherine C. and Erin Brock Carlson. (2022). Building Toward More Just Data Practices. IEEE Transactions on Professional Communication, 65(1), pp. 241-254. https://doi.org/10.1109/TPC.2021.3137675
- Quigley, Stephen. (2022). Basic Coding. Kairos, 26(2), .
- Lindgren, Chris. (2021). Writing With Data: A Study of Coding on a Data-Journalism Team. Written Communication, 38(1), pp. 114-162. https://doi.org/10.1177/0741088320968061
- Itchuaqiyaq, Cana Uluak, Nupoor Ranade, and Rebecca Walton. (2021). Theory-to-query: Developing a corpus-analysis method using computer programming and human analysis. Technical Communication, 58(3), pp. 7-28.
- Hutchinson, Les and Marie Novotny, (Eds.). (2021). Special Issue: Rhetorics of Data: Collection, Consent, & Critical Digital Literacies. Computers and Composition, 61.
- Young, Sarah. (2021). Organizational change and security clearance reform: From the January 2021 Capitol insurrection to a future with artificial intelligence?. Journal of Information Policy, 11pp. 350-375. https://doi.org/10.5325/jinfopoli.11.2021.0350
- Young, Sarah. (2021). Not too deep: Privacy, resistance, and the incorporation of social media in background checks. First Monday, 26(9), . https://dx.doi.org/10.5210/fm.v26i9.11591
- Lindgren, Chris. (2021). Facts Upon Delivery: What is Rhetorical About Visualized Models?. Journal of Business and Technical Communication, 35(1), pp. 65-72. https://doi.org/10.1177/1050651920958499
- Rea, Ashley. (2021). "Changing the Face of Technology": Storytelling as Intersectional Feminist Practice in Coding Organizations. Technical Communication, 68(4), pp. 26-39.
- Gray, Kellie, and Steve Holmes. (2020). Tracing Ecologies of Code Literacy and Constraint in Emojis as Multimodal Public Pedagogy. Computers and Composition, 55. https://doi.org/10.1016/j.compcom.2020.102552
- Danner, Patrick. (2020). Story/Telling with Data as Distributed Activity. Technical Communication Quarterly, 29(2), pp. 174–187. https://doi.org/10.1080/10572252.2019.1660807
- Easter, Brandee. (2020). Fully Human, Fully Machine: Rhetorics of Digital Disembodiment in Programming. Rhetoric Review, 39(2), pp. 202-215. https://doi-org/10.1080/07350198.2020.1727096
- Byrd, Antonio. (2020). "Like Coming Home": African Americans Tinkering and Playing toward a Computer Code Bootcamp. College Composition and Communication, 71(3), pp. 426-452.
- Lockett, Alexandria. (2019). Why do I have Authority to Edit the Page? The Politics of User Agency and Participation on Wikipedia. Wikipedia @ 20.
- Messina, Cara. (2019). Tracing Fan Uptakes: Tagging, Language, and Ideological Practices in The Legend of Korra Fanfictions. The Journal of Writing Analytics, 3pp. 151-182.
- Byrd, Antonio. (2019). Between Learning and Opportunity: A Study of African American Coders’ Networks of Support. Literacy in Composition Studies, 7(2), pp. 31-56. https://dx.doi.org/10.21623%2F1.7.2.3
- Easter, Brandee. (2018). “feminist_brevity_in_light_of_masculine_long-windedness”: Code, space, and online misogyny. Feminist Media Studies, 18(4), pp. 675-685. https://doi.org/10.1080/14680777.2018.1447335
- Holcutt, Daniel. (2018). Algorithms as information brokers: Visualizing rhetorical agency in platform activities. Present Tense, 6(3), pp. 1-9.
- Tekobbe, Cindy, and McKnight, John Carter. (2016). Indigenous cryptocurrency: Affective capitalism and rhetorics of sovereignty. First Monday, 21(10), . https://doi.org/10.5210/fm.v21i10.6955
- Masters, Christina. L. (2015). Women’s ways of structuring data. Ada: A Journal of Gender, New Media, & Technology, 8.
- Brown, James, Jr. (2014). The Machine That Therefore I Am. Philosophy & Rhetoric, 47(4), pp. 494-514. muse.jhu.edu/article/562412
- Sorapure, Madeleine. (2006). Text, image, code, comment: Writing in Flash. Computers and Composition, 23(4), pp. 412-429. https://doi.org/10.1016/j.compcom.2006.08.001
- Cummings, Robert. (2006). Coding with power: Toward a rhetoric of computer coding and composition. Computers and Composition, 23(4), pp. 430-443. https://doi.org/10.1016/j.compcom.2006.08.002
- Haefner, Joel. (1999). The politics of the code. Computers and Composition, 16(3), pp. 325-339. https://doi.org/10.1016/S8755-4615(99)00014-6
- Mauriello, Nicholas, Pagnuccia, Gian S., and Winter, Tammy. (1999). Reading between the code: The teaching of HTML and the displacement of writing instruction. Computers and Composition, 16(3), pp. 409-419. https://doi.org/10.1016/S8755-4615(99)00020-1
books
- Young, Sarah. (2023). Working Through Surveillance and Technical Communication: Concepts and Connections. SUNY Press.
- Black, Michael L. (2022). Transparent Designs: Personal Computing and the Politics of User-Friendliness. John Hopkins UP.
- Graham, S. Scott. (2020). Where’s the Rhetoric? Imagining a Unified Field. The Ohio State UP.
- Johnson, Nathan R. (2020). Architects of Memory: Information and Rhetoric in a Networked Archival Age. The University of Alabama Press.
- Brock, Kevin. (2019). Rhetorical Code Studies: Discovering Arguments in and around Code. University of Michigan. 10.3998/mpub.10019291
- Vee, Annette. (2017). Coding Literacy: How Computer Programming Is Changing Writing. MIT Press.
- Brown, James J., Jr. (2015). Ethical Programs. University of Michigan. https://doi.org/10.3998/dh.13474172.0001.001
- Roundtree, Aimee K. (2013). Computer simulation, rhetoric, and the scientific imagination. Lexington.
- Banks, Adam. (2006). Race, Rhetoric, and Technology: Searching for Higher Ground. Lawrence Erlbaum and National Council of Teachers of English.
chapters
- Miller, Benjamin. (2022). The Pleasurable Difficulty of Programming. In V. Del Hierro and C. VanKooten, (Ed), Methods and Methodologies for Research in Digital Writing and Rhetoric: Centering Positionality in Computers and Writing Scholarship, Vol. 2, (pp. 159-183). WAC Clearinghouse. https://doi.org/10.37514/PRA-B.2022.1664.2.17
- Omizo, Ryan. (2019). Stormwatch: Machine learning approaches to understanding white supremacy online. In J. Ridolfo and B. Hart-Davidson, (Ed), RhetOps: Rhetoric and Information Warfare, (pp. 142-157). University of Pittsburgh Press.
- Beck, Estee. (2018). Implications of persuasive computer algorithms. In Alexander and Rhodes, (Ed), The Routledge Handbook of Digital Writing and Rhetoric, (pp. 291 -302). Routledge.
- Hartzog, Molly. (2017). Inventing Mosquitoes: Tracing the Topology of Vectors for Human Disease. In L. Walsh & C. Boyle, (Ed), Topologies as Techniques for a Post-Critical Rhetoric, (pp. 75–98). Palgrave / MacMillan. https://doi.org/10.1007/978-3-319-51268-6
- Brooks, Kevin, and Lindgren, Chris. (2015). Responding to the Coding Crisis: From Code Year to Computational Literacy. In Lynn C. Lewis, (Ed), Strategic Discourse: The Politics of (New) Literacy Crises. CCDP / Utah State UP.
edited collections
- Faris, Michael J., and Steve Holmes, (Eds). (2022). Reprogrammable Rhetoric: Critical Making Theories and Methods in Rhetoric and Composition. Utah State UP.
- Jones, John J., and Hirsu, Lavina, (Eds). (2019). Rhetorical Machines: Writing, Code, and Computational Ethics. University of Alabama Press.
proceedings
- Overmeyer, Tina. (2019). UX methods in the data lab: Arguing for validity. In SIGDOC ’19: The 37th International Conference on the Design of Communication Proceedings, 1-6.
- Masters, Christina L. (2018). Addressing Data Fluency in Curriculum Development. In 2018 CPTSC Conference Proceedings, 58-59.