Glossary

Opinion Structure in Reputation Analysis

2026-04-26Updated 2026-04-262 min read

Opinion structure is the distribution of opinion across coverage — what percent positive, neutral, and negative, and whether that distribution is consensus or polarized. It is a complementary reading to average sentiment and, in polarized scenarios, a more decision-relevant one. Two coverage cycles with identical mean sentiment can have entirely different opinion structures and require opposite first moves.

Opinion structure

Opinion structure is the metric I run before drafting anything in the first ninety minutes of a crisis. The reason is simple. Average sentiment hides the shape of the conversation, and the shape is what determines whether a response helps, does nothing, or makes things worse.

Think of it like a restaurant rating. A place with all 3-star reviews and a place where half are 5 stars and half are 1 star both average 3 stars. But you would handle a complaint about each one very differently.

Two scenarios. Coverage is uniformly negative — wires, trade press, social, all converging on the same critical frame. The question is how to change the frame, and a statement that introduces new information may help. Coverage is split — half the outlets are critical, half sympathetic, the social conversation is polarized 35/30, with a lawsuit driving the negative and a loyal customer base driving the positive. The question is not how to change the frame. It is whether to get involved at all. Both scenarios produce a similar sentiment chart. The right move in each is the opposite of the other. The full version of this reasoning lives in the first 90 minutes of a crisis response.

The clarification I would put on a sticky note above the dashboard: a single sentiment number tells you the temperature; opinion structure tells you whether the room is unified or divided. Issuing a centrist statement into a polarized room is one of the few moves that reliably makes things worse — and it is the move the standard playbook will tell you to make.

Key insight

Average sentiment hides the shape of the conversation. Uniformly negative coverage and polarized coverage can produce identical sentiment scores and call for opposite responses. The distribution is the decision-relevant variable, not the mean.

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