Online platforms face the challenge of moderating an ever-increasing volume of content,
including harmful hate speech. In the absence of clear legal definitions and a lack of …

Online platforms have become a key infrastructure for creating and sharing content, thus
representing a paramount context for the individual/collective exercise of fundamental rights …

Social media companies have learned the hard way that poor moderation of content in
languages other than English can have grave consequences. Leaving harmful content up …

Toxicity detection algorithms, originally designed with reactive content moderation in mind,
are increasingly being deployed into proactive end-user interventions to moderate content …

Content moderation is the process of flagging content based on pre-defined platform rules.
There has been a growing need for AI moderators to safeguard users as well as protect the …

The Algorithmic Accountability Act of 2019, sponsored by Senators Cory Booker (D-NJ) and
Ron Wyden (D-OR), with a House equivalent sponsored by Rep. Yvette Clarke (D-NY) …

Current content moderation practices follow the\textit {trial-and-error} approach, meaning
that moderators apply sequences of interventions until they obtain the desired outcome …

While research continues to investigate and improve the accuracy, fairness, and normative
appropriateness of content moderation processes on large social media platforms, even the …

In online content moderation, two key values may come into conflict: protecting freedom of
expression and preventing harm. Robust rules based in part on how citizens think about …

This chapter provides an overview of the challenges involved in algorithmic content
moderation. Content moderation is the organized practice of screening user-generated …