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

Evaluating the effects of moderation interventions is a task of paramount importance, as it
allows assessing the success of content moderation processes. So far, intervention effects …

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 …

Reddit, the self-proclaimed łfront page of the Internetž with over 330M active users, has
found its communities playing a prominent role in originating and propagating sexist, racist …

Successful content moderation in online platforms relies on a human-AI collaboration
approach. A typical heuristic estimates the expected harmfulness of a post and uses fixed …

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

When posts are removed on a social media platform, users may or may not receive an
explanation. What kinds of explanations are provided? Do those explanations matter? Using …

Reddit administrators have generally struggled to prevent or contain such discourse for
several reasons including:(1) the inability for a handful of human administrators to track and …

Prior research on transparency in content moderation has demonstrated the benefits of
offering post-removal explanations to sanctioned users. In this paper, we examine whether …

We describe the current content moderation strategy employed by Meta to remove policy-
violating content from its platforms. Meta relies on both handcrafted and learned risk models …