[Submitted on 29 Jan 2023 (v1), last revised 3 Feb 2023 (this version, v2)] Download PDF Abstract: This paper examines social web content moderation from two key perspectives: automated methods (machine moderators) and human evaluators (human moderators). We conduct a noise audit at an unprecedented scale using nine machine moderators trained on well-known offensive speech
