Works Cited
- Ashish, Vaswani, et al. “Attention Is All You Need.” Advances in Neural Information Processing Systems, 2017, vol. 30.
- Askalidis, Georgios, and Edward Malthouse. “The Value of Online Customer Reviews.” Proceedings of the 10th ACM Conference on Recommender Systems, Boston 2016. https://dl-acm-org.libproxy.temple.edu/doi/10.1145/2959100.2959181. Accessed 23 July 2023.
- Bakhtin, M. M., et al. Speech Genres and Other Late Essays. U of Texas P, 1987, ProQuest Ebook Central. http://ebookcentral.proquest.com/lib/templeuniv-ebooks/detail.action?docID=3443526.
- Barthes, Roland. Writing Degree Zero, Macmillan, 1977.
- Biber, Douglas. Discourse on the Move: Using Corpus Analysis to Describe Discourse Structure, John Benjamins, 2007.
- Brown, Tom B., et al. “Language Models Are Few-Shot Learners.” arXiv:2005.14165, arXiv. 22 July 2020. arXiv.org, doi:10.48550/arXiv.2005.14165.
- Davidse, Kristin, and Béatrice Lamiroy. Nominative & Accusative and Their Counterparts. John Benjamins, 2002. http://ebookcentral.proquest.com/lib/templeuniv-ebooks/detail.action?docID=622916.
- Freadman, Anne. “Anyone for Tennis.” Genre and the New Rhetoric, edited by Aviva Freedman and Peter Medway, Routledge, 1994, pp. 43–66.
- Gambetti, Alessandro, and Qiwei Han. “Combat AI with AI: Counteract Machine-Generated Fake Restaurant Reviews on Social Media.” arXiv preprint arXiv:2302.07731, vol. 4, 2023, pp. 1–13.
- Gillam, Alice M. “Writing Center Ecology: A Bakhtinian Perspective.” The Writing Center Journal, vol. 11, no. 2, 1991, pp. 3–11. doi:10.7771/2832-9414.1223.
- Graham, S. Scott. “AI-Generated Essays Are Nothing to Worry About.” Inside Higher Ed, 2022. https://www.insidehighered.com/views/2022/10/24/ai-generated-essays-are-nothing-worry-about-opinion.
- Graham, S. Scott, et al. “Statistical Genre Analysis: Toward Big Data Methodologies in Technical Communication.” Technical Communication Quarterly, vol. 24, no. 1, Jan 2015, pp. 70–104. doi:10.1080/10572252.2015.975955.
- Halliday, M. A. K., and Ruqaiya Hasan. Cohesion in English, Routledge, 2014.
- Hart-Davidson, William, and Ryan Omizo. “Genre Signals in Textual Topologies.” Topologies as Techniques for a Post-critical Rhetoric, edited by Lynda Walsh and Casey Boyle, Springer International Publishing, 2017, pp. 99–123. https://doi.org/10.1007/978-3-319-51268-6_6.
- Herman, Daniel. “ChatGPT Will End High-School English.” The Atlantic, Dec. 2022, https://www.theatlantic.com/technology/archive/2022/12/openai-chatgpt-writing-high-school-english-essay/672412/.
- Hong, Hong, et al. “Understanding the Determinants of Online Review Helpfulness: A Meta-Analytic Investigation.” Decision Support Systems, vol. 102, ScienceDirect, Oct 2017, pp. 1–11. doi:10.1016/j.dss.2017.06.007.
- Janzing, Dominik, et al. “Feature Relevance Quantification in Explainable AI: A Causal Problem.” arXiv:1910.13413, arXiv, 27 Nov. 2019, arXiv.org. doi:10.48550/arXiv.1910.13413.
- Jockers, Matthew L. Macroanalysis: Digital Methods and Literary History, U of Illinois P, 2013.
- Kane, Megan. “Communicating the “Write” Values: Developing Methods of Computer-Aided Text Analysis for Instructor Training.” Proceedings of the 38th ACM International Conference on Design of Communication, Denton (TX) 2020.
- Kaufer, D., and S. Ishizaki. “A Corpus Study of Canned Letters: Mining the Latent Rhetorical Proficiencies Marketed to Writers-in-A-Hurry and Non-Writers.” IEEE Transactions on Professional Communication, vol. 49, no. 3, Sept 2006, pp. 254–66. doi:10.1109/TPC.2006.880743.
- Kaufer, D., and Suguru Ishizaki. “DocuScope. University, Carnegie Mellon.” DocuScope - Department of English - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University, http://www.cmu.edu/dietrich/english/research-and-publications/docuscope.html. Accessed 13 July 2023.
- Kaufer, David, and Suguru Ishizaki. “CMU DocuScope Project.” GitHub, 1998, https://github.com/docuscope. Accessed 31 Jan. 2024.
- Klebanov, Beata Beigman, et al. “Argumentative Writing in Assessment and Instruction: A Comparative Perspective.” Genre in Language, Discourse and Cognition, vol. 33, 2016, pp. 167.
- Kuhn, Harold William, and Albert William Tucker. Contributions to the Theory of Games (AM-28), Volume II, Princeton UP, 2016.
- Larson, B., et al. “Use What You Choose.” Proceedings of the 34th ACM International Conference on the Design of Communication, Silver Springs (MD) 2016. https://dl.acm.org/doi/abs/10.1145/2987592.2987603. Accessed 31 July 2023.
- Lundberg, Scott. “Welcome to the SHAP Documentation — SHAP Latest Documentation.” 2018, https://shap.readthedocs.io/en/latest/.
- Lundberg, Scott M., et al. “Consistent Individualized Feature Attribution for Tree Ensembles.” arXiv:1802.03888, arXiv, 6 Mar 2019, arXiv.org. doi:10.48550/arXiv.1802.03888.
- Lundberg, Scott M., and Su-In Lee. “A Unified Approach to Interpreting Model Predictions.”Advances in Neural Information Processing Systems, vol. 30, Curran Associates, Inc., 2017. Neural Information Processing Systems. https://proceedings.neurips.cc/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html.
- Mackiewicz, Jo. “Assertions of Expertise in Online Product Reviews.” 2010.
- Marciano, Jonathan. “Fake Online Reviews Cost $152 Billion a Year. Here’s How e-commerce Sites Can Stop Them.” World Economic Forum, 2021, https://www.weforum.org/agenda/2021/08/fake-online-reviews-are-a-152-billion-problem-heres-how-to-silence-them.
- Marciano, Jonathan. “Quality in Product Reviews: What Technical Communicators Should Know.” Technical Communication, vol. 62, no. 1, Feb 2015, 3–18.
- Maslowska, Ewa, et al. “Do Customer Reviews Drive Purchase Decisions? The Moderating Roles of Review Exposure and Price.” Decision Support Systems, vol. 98, June 2017, pp. 1–9. doi:10.1016/j.dss.2017.03.010.
- Miller, Carolyn R. “Genre as Social Action.” Quarterly Journal of Speech, vol. 70, no. 2, 1984, pp. 151–67. doi:10.1080/00335638409383686.
- Molnar, Christoph. “9.5 Shapley Values | Interpretable Machine Learning.” christophm.github.io, 2023, https://christophm.github.io/interpretable-ml-book/shapley.html.
- Molnar, Christoph. “9.6 SHAP (Shapley Additive ExPlanations) | Interpretable Machine Learning.” christophm.github.io, https://christophm.github.io/interpretable-ml-book/shap.html#fn69. Accessed 14 July 2023.
- Omizo, Ryan, and William Hart-Davidson. “Finding Genre Signals in Academic Writing.” Journal of Writing Research, vol. 7, no. 3, 3 Feb 2016, pp. 485–509. doi:10.17239/jowr-2016.07.03.08.
- Omizo, Ryan, et al. “Detecting High-Quality Comments in Written Feedback with a Zero Shot Classifier.” Proceedings of the 39th ACM International Conference on Design of Communication, online, hosted in Mesa (AZ) by Arizona State U 2021. https://dl.acm.org/doi/abs/10.1145/3472714.3473659.
- Omizo, Ryan. “You Can Read the Comments Again: The Faciloscope App and Automated Rhetorical Analysis.” DHCommons Journal, vol. 2, 2016.
- Omizo, Ryan M. “Machining Topoi: Tracking Premising in Online Discussion Forums with Automated Rhetorical Move Analysis.” Computers and Composition, vol. 57, Sept 2020, pp. 102578. doi:10.1016/j.compcom.2020.102578.
- OpenAI. GPT-4 Technical Report. arXiv:2303.08774, arXiv. 27 Mar. 2023. arXiv.org, doi:10.48550/arXiv.2303.08774.
- PowerReviews. “Survey: The Ever-Growing Power of Reviews (2023 Edition).” PowerReviews, 11 May 2023, https://www.powerreviews.com/research/power-of-reviews-2023/.
- Salminen, Joni, et al. “Creating and Detecting Fake Reviews of Online Products.” Journal of Retailing and Consumer Services, vol. 64, 2022, pp. 102771. doi:10.1016/j.jretconser.2021.102771.
- Schreiner, Maximilian. “GPT-4 Architecture, Datasets, Costs and More Leaked.” THE DECODER, 11 July 2023, https://the-decoder.com/gpt-4-architecture-datasets-costs-and-more-leaked/.
- Schryer, Catherine F. “Records as Genre.” Written Communication, vol. 10, no. 2, Apr 1993, pp. 200–34. doi:10.1177/0741088393010002003.
- Slack, Dylan, et al. “Fooling LIME and SHAP.” Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, New York 2020. https://dl.acm.org/doi/abs/10.1145/3375627.3375830.
- Sundararajan, Mukund, and Amir Najmi. “The Many Shapley Values for Model Explanation.” arXiv:1908.08474, arXiv,7 Feb. 2020, arXiv.org. https://doi.org/10.48550/arXiv.1908.08474.
- Swales, John, and Hazem Najjar. “The Writing of Research Article Introductions.” 1987, https://journals.sagepub.com/doi/abs/10.1177/0741088387004002004. Accessed 31 July 2023.
- Swales, John M. Genre Analysis: English in Academic and Research Settings, Cambridge UP, 1990.
- Swarts, Jason. “Signaling Context in Topic-Based Writing.” Technical Communication, vol. 69, no. 1, Feb 2022, pp. 40–53. doi:10.55177/tc812725.
- Tate, Alison. “Bakhtin, Addressivity, and the Poetics of Objectivity.” Literature and the New Interdisciplinarity, Brill, 1994, pp. 135–50. doi:10.1163/9789004484801_013.
- Tiku, Nitasha. “The Google Engineer Who Thinks the Company’s AI Has Come to Life.” Washington Post, 11 June 2022, https://www.washingtonpost.com/technology/2022/06/11/google-ai-lamda-blake-lemoine/.
- Upton, Thomas A., and Mary Ann Cohen. “An Approach to Corpus-Based Discourse Analysis: The Move Analysis as Example.” Discourse Studies, vol. 11, no. 5, Oct 2009, pp. 585–605. doi:10.1177/1461445609341006.
- Vásquez, Camilla. The Discourse of Online Consumer Reviews, Bloomsbury, 2014.
- Virtanen, Tuija. “Adaptability in Online Consumer Reviews: Exploring Genre Dynamics and Interactional Choices.” Journal of Pragmatics, vol. 116, July 2017, pp. 77–90. doi:10.1016/j.pragma.2017.03.011.
- Wang, Sai, et al. “The Impact of EWOM Message Characteristics on the Perceived Effectiveness of Online Consumer Reviews.” Journal of Interactive Advertising, vol. 15. no. 2, July 2015, pp. 151–59. doi:10.1080/15252019.2015.1091755.
- Zheng, Lili. “The Classification of Online Consumer Reviews: A Systematic Literature Review and Integrative Framework.” Journal of Business Research, vol. 135, Oct 2021, pp. 226–51. doi:10.1016/j.jbusres.2021.06.038.
- Zhou, Y. “Commitment to Degree Zero: Barthes’ First Approaches to the Neutral.” Theory, Culture & Society, vol. 37, no. 4, 2020, pp. 77–95. doi:10.1177/0263276420910464.