Social Signal & Information Integrity / Community Health
SUB-T03-054Collective Intelligence
Definition
Collective Intelligence examines testing conditions under which groups combine diverse knowledge to outperform individuals or homogeneous groups within the broader domain of the cohesion, inclusion, participation, resilience, safety and discourse quality of communities.
Why this matters
Collective Intelligence can materially affect autonomy, safety, public trust, market integrity, community cohesion and institutional decisions. Poorly designed interventions can suppress legitimate speech, entrench bias or create false confidence.
Research questions
Under which conditions can testing conditions under which groups combine diverse knowledge to outperform individuals or homogeneous groups be measured or improved reliably, and how do effects vary by platform, population, context and intervention?
Hypotheses
A transparent, context-aware approach combining provenance, behavioural evidence and accountable human review will improve decision accuracy, diversity use and error correction more than single-score, content-only or opaque automated approaches.
Proposed methods
community surveys; network and discourse analysis; participatory research; moderation experiments; deliberative trials; longitudinal cohort tracking; incident review; expert review; affected-user interviews; reproducibility testing; methods adapted specifically to Collective Intelligence
Stakeholders and beneficiaries
community members; moderators; local government; civil society; educators; platforms; researchers; public-interest organisations