A Bayesian social platform for inclusive and evidence-based decision making

TL;DR

This paper introduces a Bayesian social platform designed to promote virtuous, inclusive, and evidence-based decision-making in online communities by rewarding epistemically virtuous behaviors and fostering respectful discourse.

Contribution

It presents the design and architecture of a Bayesian social platform that encourages virtuous behaviors and collective rationality through evidence-based interactions and community management.

Findings

The platform effectively rewards epistemically virtuous behaviors.

It facilitates the export of evidence-based propositions for decision-making.

The Bayesian approach enhances the power of virtuous ideas.

Abstract

Against the backdrop of a social media reckoning, this paper seeks to demonstrate the potential of social tools to build virtuous behaviours online. We must assume that human behaviour is flawed, the truth can be elusive, and as communities we must commit to mechanisms to encourage virtuous social digital behaviours. Societies that use social platforms should be inclusive, responsive to evidence, limit punitive actions and allow productive discord and respectful disagreement. Social media success, we argue, is in the hypothesis. Documents are valuable to the degree that they are evidence in service of, or to challenge an idea for a purpose. We outline how a Bayesian social platform can facilitate virtuous behaviours to build evidence-based collective rationality. The chapter outlines the epistemic architecture of the platform's algorithms and user interface in conjunction with explicit community management to ensure psychological safety. The BetterBeliefs platform rewards users who demonstrate epistemically virtuous behaviours and exports evidence-based propositions for decision-making. A Bayesian social network can make virtuous ideas powerful.