This article assesses the data practices of Grammarly, the prominent AI-assisted writing technology, by applying data principles that advocate for empowering Indigenous data sovereignty. The assessment is informed by the authors’ work with an Inuit tribal organization from rural Arctic Alaska that generated data and metadata about potentially sacred tribal activities. Their analysis of Grammarly's large-language modeling practices demonstrates how technical communication can hold businesses to principled data practices created by Indigenous nations and communities that understand how to create more just futures.

Prior scholarship argues that facts derived from data are not separate from their contexts and values. In this study of a data journalism team, I define and apply a sociotechnical network approach to stasis that maps their rhetorical actions with their quantitative work. The stasis network methodology identified how their process confronted competing definitions of metrics, which impacted their sense of what was significant and ethically possible, when developing the goals for their report.

What expectations should professionals and the public place on visuals to communicate the uncertainties of complex phenomena? This article demonstrates how charts during the early months of the COVID-19 pandemic articulated visual arguments yet also required extended communicative support upon their delivery. The author examines one well-circulated chart comparing COVID-19 case trends per country and highlights its rhetoric by contrasting its design decisions with those of other charts and reports created as the pandemic initially unfolded. To help nonexpert audiences, the author suggests that professional communicators and designers incorporate more contextual information about the data and notable design choices.