Machine learning (ML) is widely used to moderate online content. Despite its scalability
relative to human moderation, the use of ML introduces unique challenges to content …

Technology companies play a major role in governing the internet. The rules of platforms,
content hosts, search engines, and telecommunications providers govern how we interact …

Extensive efforts in automated approaches for content moderation have been focused on
developing models to identify toxic, offensive, and hateful content--with the aim of lightening …

Abstract 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 …

The internet has become a central medium through which 'networked publics' express their
opinions and engage in debate. Offensive comments and personal attacks can inhibit …

Freedom of expression is one of the cornerstones on which democracy is based. This non-
exhaustive statement firmly clashes with the troubling evolution of the algorithmic society …

Social media platforms struggle to protect users from harmful content through content
moderation. These platforms have recently leveraged machine learning models to cope with …

The timing is challenging, as platforms are fighting to contain an epidemic of misinformation,
with user traffic hitting all-time records. To make up for the absence of human reviewers …

Online intermediaries have become a focal point of content moderation. They may enable or
disable access by removing or blocking controversial content, or by terminating users' …

As online platforms become central to our democracies, the problem of toxic content
threatens the free flow of information and the enjoyment of fundamental rights. But effective …