This article explores four different topics of conversation in technical and professional communication (TPC) scholarship that overlap and connect with contemporary issues in generative artificial intelligence (AI): process and iteration, theory and power, actors and activity, and the social justice turn. The authors offer four nonexhaustive reviews of these conversations, offering insight into key issues and texts that have animated discourse in the field and can directly or indirectly address the complex relationship between TPC work and generative AI.

This article addresses how social media platforms can better highlight expert voices through design choices. Misinformation, after all, has exploded during the Covid-19 pandemic, and platforms have struggled to address the issue. The authors examine this critical gap in validation mechanisms in the current social media platforms and suggest possible solutions for this urgent problem with third-party partnerships.

This article describes graduate mentorship experiences at the Writing, Information, and Digital Experience (WIDE) research center at Michigan State University and offers a stance on graduate student mentorship. It describes WIDE’s mentorship model as feminist and inclusive and as a means to invite researchers with different backgrounds to engage in knowledge-making activities and collaborate on projects. Additionally, the article explains how WIDE enables growth for its researchers, teachers, and leaders. To illustrate these ideas, the authors provide multiple perspectives across faculty mentors, former graduate students, and current graduate students in order to discuss how WIDE researchers practice mentorship and how this mentorship prepares students for future work as scholars and researchers. Finally, the article suggests ways other research centers can adapt WIDE’s approach to their own institutional context.

This article uses both actor network theory (ANT) and activity theory to trace and analyze the ways in which both Twitter and third-party applications support the development and maintenance of meaningful contexts for Twitter participants. After situating context within the notion of a ‘‘fire space’’, the authors use ANT to trace the actors that support finding and moving information. Then they analyze the ‘‘prescriptions’’ of each application using the activity-theory distinction between actions and operations. Finally, they combine an activity-theory analysis with heuristics derived from the concept of ‘‘findability’’ in order to explore design implications for Social Web applications.

During the aftermath of recent disasters (both natural and human made), people have communicated by cobbling together available social software resources—relying on the capabilities of Internet tools such as blogs, news sites, and Flickr. Examining the use of social software taking place after the London bombings of July 7, 2005, I propose a method by which we can study users' literate appropriations to shape the development of more accommodating communication systems.