Cookies, or small packets of data sent between programs, have become synonymous with the opaque practices for collecting, storing, and commodifying user-generated data. Convoluted language and misleading design practices impede user understanding and agency over the security of their data, including its collection, use, and storage. This article provides a brief history of cookies, presents concerns related to how websites inform users of the presence of cookies and their choices in how they are used, and introduces heuristics that align with technical and professional communication best practices for crafting user-centered cookie banners.

The evolution of digital tools and platforms has ushered in new possibilities for researchers, scholars, and practitioners of rhetoric and composition and adjacent fields like technical communication. These technologies change the ways we can gather, store, and use larger datasets, prompting new discussions on what big data methods look like in the field. The chapters housed in Amanda Licastro and Benjamin Miller's edited collection Composition and Big Data investigate the promises, concerns, and areas for further conversation regarding the applications of big data methods in composition-focused research.

Throughout the COVID-19 pandemic, Twitter has served as a leading public platform for sharing, receiving, and engaging with virus-related content. To protect users from misinformation, Twitter has enforced stricter content-vetting policies. This article positions Twitter as a politically motivated entity and briefly traces Twitter’s use and applications of the term “harmful content.” The author investigates how the platform’s broadening of its definition of harmful content illustrates Twitter’s strategy for combating misinformation by acting on kairotic moments in a way that is shaped by the diverse authoritative voices already guiding larger public COVID-19 discussions. The article concludes by examining the roles these observations can play in technical and professional communication classrooms.

Web 2.0’s progressive use of personalizing algorithms has dangerously situated users into filter bubbles, or digital habitus. This insulated nature leaves users with an inability to engage civilly with others during online dialogues. This work examines how users on the sites Facebook and Countable frame and address online audiences, paying attention to the correlation between civility and action beyond the online dialogue. Through careful analyses on the respective comment threads, this work finds that the coupling of fewer personalizing algorithms and the inclusion of an established action beyond the dialogue can better ensure civility online.