TL;DR
This paper explores how to quantitatively measure social consensus, providing a framework for assessing agreement levels to help resolve conflicts and improve decision-making processes.
Contribution
It introduces a formal approach to measuring social consensus as a quantifiable metric, bridging qualitative social phenomena with quantitative analysis.
Findings
Proposes a metrological framework for social consensus
Defines measurable indicators of agreement levels
Suggests applications for conflict resolution and decision-making
Abstract
Many organizations describe their processes as consensus-driven, but there is no consensus on the definition of consensus. Qualitative definitions of consensus prioritize social phenomena like "unity" that are not necessarily measurable. Quantitative definitions of consensus derive from numbers of votes and can be realized in software. When unity and cooperation become unobtainable for any reason, measuring consensus as a quantity (an amount of agreement) is a reasonable adaptation to alleviate gridlock and possibly avoid escalation of conflicts. This article investigates the metrology of social consensus.
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Taxonomy
TopicsOpinion Dynamics and Social Influence