Suives

Suives is a hypothetical term used in discussions of digital information networks to describe a class of intermediaries who curate and propagate content by creating sequential linkages between sources. The concept is used in theoretical debates about how information spreads in online ecosystems and is not tied to any single platform.

The name is inspired by the verb "to follow" and the idea of following a trail of content across posts and platforms. The term emerged in online discourse in the late 2010s and has appeared in some peer discussions and experimental studies on information diffusion.

A suive typically collects related items, writes brief contextual notes, and arranges items into traceable sequences or threads. They emphasize attribution and provenance, operate across platforms, and rely on existing social networks to gain reach. Their output often resembles curated feeds or annotated link trails.

In information ecosystems, suives can improve discoverability and preserve context for content creators who would otherwise be isolated across platforms. At the same time, they may introduce delays, filter content through personal or organizational biases, or contribute to echo-chamber dynamics if not transparent about selection criteria.

Because suives are a theoretical construct rather than a standardized role, empirical claims about their effects vary. Some researchers see potential for more accountable sharing, while others warn about the risks of misattribution and over-curation.