SIHCFeb 28, 2022

The Golden Circle: Creating Socio-technical Alignment in Content Moderation

arXiv:2202.13500v12 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of socio-technical alignment in content moderation for the ML community, but it is incremental as it builds on existing conceptual work without introducing new methods or data.

The paper tackles the problem of misalignment in content moderation by proposing The Golden Circle framework to integrate sociological and technical perspectives across individual, organizational, and societal levels, aiming to reduce harm and adapt to changing social contexts.

This paper outlines a conceptual framework titled The Golden Circle that describes the roles of actors at individual, organizational, and societal levels, and their dynamics in the content moderation ecosystem. Centering harm reduction and context moderation, it argues that the ML community must attend to multimodal content moderation solutions, align their work with their organizations' goals and values, and pay attention to the ever changing social contexts in which their sociotechnical systems are embedded. This is done by accounting for the why, how, and what of content moderation from a sociological and technical lens.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes