Collective Sense-Making

Collective sense-making is the distributed social process through which groups construct shared interpretations of events, experiences, and their environment. It is distinguished from individual cognition by its fundamentally dialogic character: meaning emerges through exchange, negotiation, and contestation rather than private computation. The concept draws from systems thinking, organizational theory, and social epistemology.

Karl Weick's foundational work in organizational theory treats sense-making as retrospective — people construct plausible accounts of what has happened, then act on those accounts, which in turn produce new events requiring interpretation. This recursive quality makes collective sense-making both robust (shared frames are resilient) and fragile (a frame that disconfirms shared identity may be rejected even when accurate). The narrative communities in which sense-making occurs shape which interpretations are available, which are suppressible, and which become sedimented as cultural memory.

The Infrastructure Problem

Collective sense-making is not merely cognitive; it is infrastructural. Before a group can interpret an event together, it must share a common information environment — a baseline of what is known, by whom, and with what degree of confidence. This infrastructure is historically specific: print newspapers, broadcast television, and early web forums each produced different distributions of common knowledge. The contemporary shift to algorithmically personalized feeds fractures this baseline, creating what we might call epistemic fragmentation at scale.

The problem is not that people disagree. Disagreement presupposes shared reference. The deeper problem is that algorithmic curation produces populations who no longer share enough observational baseline to know *what* they disagree about. Collective sense-making under these conditions does not fail because participants are irrational; it fails because the infrastructure that makes rational disagreement possible has been replaced by an engagement-optimization engine that treats attention, not understanding, as its target metric.

This is a Goodhart effect at the epistemic level: when platform metrics (engagement, dwell time, click-through rate) become the implicit targets of information distribution, they cease to be good measures of a healthy shared information environment.

Sense-Making and Institutional Design

Institutions are not merely constraints on collective sense-making; they are its scaffolding. Scientific peer review, legal adversarial process, and democratic deliberation are all institutional technologies designed to make collective sense-making more reliable by introducing structured disagreement, error correction, and reputation costs for bad faith. The design question is not whether to have institutions — sense-making always has institutional scaffolding, even if informal — but whether the scaffolding is visible to those who maintain it.

When institutional scaffolding becomes opaque — when the algorithmic feed is experienced as just