Slopaganda: How AI-Generated Noise Is Reconfiguring the Digital Infosphere

In the wake of generative artificial intelligence (GAI), the traditional heuristic vocabulary of digital sociology, encompassing computational propaganda, disinformation, and fake news, is increasingly inadequate to capture the qualitative shifts occurring within the digital infosphere. This article conceptualizes “slopaganda” as a distinct sociological and media phenomenon characterized by the mass dissemination of low-effort, AI-generated synthetic content (slop) deployed to manipulate collective attention and reshape epistemic environments. Coined to describe the critical intersection of GAI-generated noise and political or ideological influence, the concept of slopaganda shifts the locus of ideological warfare away from literal persuasion and toward sheer semantic saturation, context collapse, and cognitive exhaustion. This article meticulously deconstructs the structural properties of this emerging threat. Also, a taxonomy of the phenomenon is established, structured along three axes: intent and actors, distribution, and format. Furthermore, the systemic sociological impacts of slopaganda are analyzed, focusing on the production of chronic epistemic fatigue, the disintegration of contextual trust within digital publics, and the manifestation of a decentralized algorithmic “firehose of falsehood.” The analysis concludes by outlining empirical agendas to map the long-term cognitive and structural vulnerabilities of algorithmic societies.