Drawing on rhetorical genre studies, we explore research article abstracts created by generative artificial intelligence (AI). These synthetic genres—genre-ing activities shaped by the recursive nature of language learning models in AI-driven text generation—are of interest as they could influence informational quality, leading to various forms of disordered information such as misinformation. We conduct a two-part study generating abstracts about (a) genre scholarship and (b) polarized topics subject to misinformation. We conclude with considerations about this speculative domain of AI text generation and dis/misinformation spread and how genre approaches may be instructive in its identification.

Misinformation has generated much discussion in the aftermath of the COVID-19 pandemic and attendant "Infodemic," as the World Health Organization (WHO) dubbed the challenge of disordered information. Rhetorical genre studies can offer important insights about how misinformation functions within informational ecologies by revealing how typification and recurrence provide opportunities for misinformation to take hold. This article develops a genre-based framework to study scientific and technical misinformation as illicit genres through concepts of genre function and abusability.

Rhetorical figures of speech provide important analytical frames to chart how arguments operate within genres and within genre ecologies. Varieties of the figure prolepsis allow for the rendering of future time or fact in the present, which can be a powerful rhetorical inducement toward social and political action. In this article, we examine how anticipatory arguments drawn from complex data shape a key genre for public and policy-facing work on the climate crisis—the Intergovernmental Panel on Climate Change’s Synthesis Report’s (SYR) Statement for Policy Makers (SPM). We examine how the rhetorical figure of prolepsis operates within this genre to understand the anticipatory arguments and logics emerging from the synthesis of scientific findings and their reporting. Pairing figural studies and Rhetorical Genre Studies, we further offer an approach to investigate how these patterned operations of language might intersect in their rhetorical workings.

AbstractThe rhetorical figure of speech called prolepsis, describing a presaging of time and events to come, commonly appears in environmental communication and importantly frames the possibilities for action. Prolepsis is a figure employed in communication about climate change that demands attention in its various deployments, configurations, and, importantly, rhetorical inducements. Such inducements may rely upon feelings of hope or fear, and this study investigates the rhetorical and ethical conditions prolepsis may generate. A considerable literature studying the concept of hope offers great insights into climate change perceptions and behavior concerning climate action. The present study examines prolepsis to discuss how the figure's inducement of suasive effect through appeals to hope and fear shape the ethical horizons for action. We examine media coverage of the IPCC's sixth report, Part I, warning of the enormous impacts of the ongoing climate emergency and necessary climate action to mitigate the worst of these effects. Additional informationNotes on contributorsAshley Rose MehlenbacherAshley Rose Mehlenbacher is Canada Research Chair in Science, Health, and Technology Communication at the University of Waterloo and the author of On Expertise (Penn State UP) and Science Communication Online (Ohio State UP). She is also the inaugural Co-Director, with Donna Strickland, for the Trust in Research Undertaken in Science and Technology (TRuST) network.Carolyn EckertCarolyn Eckert is a Ph.D. Candidate in English Language and Literature at the University of Waterloo. Her research investigates the ethotic construction of experts during the COVID-19 pandemic. She also teaches at Conestoga College and in the Humber College School of Business.Sara DoodySara Doody is a Postdoctoral Fellow in Knowledge Integration at the University of Waterloo where she investigates climate change communication and transdisciplinary collaboration between science and philosophy. Her research examines written communication in science and higher education and inter-/transdisciplinary communication and collaboration.Sarah ForstSarah Forst is a graduate psychology student at the University of Cologne and a research assistant in the Department of Research Methods and Experimental Psychology. She was a Mitacs Global Link intern in Summer 2021 at the University of Waterloo.Brad MehlenbacherBrad Mehlenbacher is Professor of Rhetoric and Communication in English Language & Literature at the University of Waterloo in Canada. Mehlenbacher is author of the NCTE award-winning book, Instruction and Technology: Designs for Everyday Learning (MIT Press), co-author of Online Help: Design and Evaluation (Ablex).

Rhetorical studies of science, technology, and medicine (RSTM) have provided critical understanding of how argument and argument norms within a field shape what we mean by “data.” Work has also examined how questions that shape data collection are asked, how data is interpreted, and even how data is shared. Understood as a form of argument, data reveals important insights into rhetorical situations, the motives of rhetorical actors, and the broader appeals that shape everything from the kinds of technologies built, to their inclusion in our daily lives, to the infrastructures of cities, the medical practices and policies concerning public health, etc. Big data merits continued attention from RSTM scholars as our understanding of its pervasive use and its ethos grows, but its arguments remain elusive (Salvo, 2012). To unpack the elusivity of big data, we explore one particularly illustrative case of big data and political, democratic influence: the Cambridge Analytica scandal. To understand the case, we turn to social studies of data to explore the range of ethical issues raised by big data, and to examine the rhetorical strategies that entail big data.

Case studies have been a central methodology employed by scholars working in the rhetoric of science and technical communication. However, concerns have been raised about how cases are constructed and collected, and what they convey. The authors reflect on how rhetoricians of science and technical communication researchers can – and do – construct a variety of case-based mixed-methods studies in ways that may make our research more portable and durable without undercutting the important and central role of case-based analysis.

To investigate how college students understand and use cloud technology for collaborative writing, the authors studied two asynchronous online courses, on science communication and on technical communication. Students worked on a group assignment (3–4 per group) using Google Docs and individually reflected on their experience writing collaboratively. This article explores leadership and how it interacts with team knowledge making and the collaborative writing process. Guidelines are outlined for instructors interested in adopting collaborative, cloud-based assignments, and the tension between providing clear instructional guidance for student teams and allowing teams to embrace the ambiguity and messiness of virtual collaboration are discussed.

Procedural and Declarative Information in Software Manuals: Effects on Information Use, Task Performance, and Knowledge. Nicole Ummelen. Amsterdam: Rodopi, 1997. 224 pages. Standards for Online Communication: Publishing Information for the Internet/ World Wide Web/Help Systems/Corporate Intranets. JoAnn T. Hackos and Dawn M. Stevens. New York: Wiley, 1997. 380 pages (including index), plus CD‐ROM. Expanding Literacies: English Teaching and the New Workplace. Ed. Mary Sue Garay and Stephen A. Bernhardt. Albany: SUNY P, 1998. 383 pages.