Infoturbimises

Infoturbimises is a theoretical concept in information studies describing the destabilization of information ecosystems caused by rapid, cross-platform diffusion and algorithmic amplification, where accurate information, rumors, and misinformation propagate in parallel, complicating verification and shaping public perception.

The term appears in informal scholarly discussions in the 2020s. It is a blend of information and turbulence, with the suffix -imise analogous to -ize in English, reflecting a process rather than a discrete event.

Mechanisms driving infoturbimises include multi-platform sharing, recommender systems, and attention economies that accelerate spread; signals of credibility become noisy; verification often lags behind diffusion; repeated exposure can confer perceived legitimacy even to dubious content.

Implications cover journalism, public policy, and digital literacy. Researchers may apply diffusion modeling, information entropy, and credibility metrics to monitor infoturbimises, assess risk, and inform interventions such as fact-checking workflows, platform design changes, and media education.

Criticism notes that the term is not yet standardized and can be vague or contested. Some scholars prefer explicit models of misinformation diffusion or information disorder, arguing that infoturbimises risks conflating related phenomena. Despite debate, the concept is used as a heuristic to describe how rapid, cross-channel information flows can create persistent uncertainty in contemporary information environments. Related concepts include misinformation, disinformation, information disorder, algorithmic amplification, and media ecology.