Daniel Kreiss’ and Lorcan Neill’s commentary draws on the long-established concept of militant democracy” to outline ‘democracy-worthy principles’ for commercial platform content moderation.

Sun-ha Hong writes on how speculative urban projects advance a logic of radical separation from public space, visibility and accountability, underwritten by tech elites’ consistent and increasingly explicit denunciation of the very idea of democratic governance.

Heesoo Jang, and Shannon C. McGregor, and Lorcan Neill evaluated the accuracy, quality, and implications of outputs produced by generative artificial intelligences (AI) related to politics and electoral processes during the 2024 United States elections.

Recent studies have found promising evidence that lightweight, scalable tips promoting digital media literacy can improve the overall accuracy of social media users’ sharing intentions and improve their ability to determine the accuracy of true versus false headlines. However, existing research is designed to test entire bundles of such tips, which limits our practical knowledge about whether some kinds of tips are more effective than others and hinders our ability to theorize about mechanisms.

This paper analyzes online Russian disinformation campaigns about Ukrainian refugees in Europe to better understand their impact upon target groups. Although disinformation can mislead audiences because of its verisimilitude with authoritative media sources, Julie Terebkov, Torin Monahan, and Alice E. Marwick argue that its deeper potency rests in activating existing cultural biases.

Amber Joy Powel’s, Faith M. Deckard’s, Shannon Malone Gonzalez’s, and Brittany Pearl Battle’s paper engages abolition feminist storytelling as a methodology for feminist criminologists to identify, reflect on, grapple with, and ultimately confront carceral logics in the stories we (re)tell about violence and punishment.

Rather than framing disinformation as false facts which can be countered by true facts, we propose a model of disinformation as narrative by tracing three case studies of successful disinformation across Facebook and Twitter.

The field of disinformation has emerged as a significant topic of study in the US, especially in the wake of the country’s democratic backsliding and the rise of new artificial intelligence technologies that could drastically impact information environments writ large.

This article provides an introduction to a scholarly forum on intersectional approaches to challenging the peer-review process. Developed out of a Blue Sky session at the International Communication Association’s annual conference in 2025, the article and the forum discuss ways to build out of the strength of differences with practical insights that can be adopted throughout the publication process to advance critical scholarship.

Various CITAP scholars discuss how refractive datasets can be a way for researchers to “sensemake” in increasingly opaque big data environments, enabling interpretivist analyses which aim to generate new hypotheses rather than verify existing claims.