LGBTQ+ people have received increased attention in HCI research, paralleling a greater
emphasis on social justice in recent years. However, there has not been a systematic review …

The Human-Computer Interaction (HCI) community has consistently focused on the
experiences of users moderated by social media platforms. Recently, scholars have noticed …

Fairness metrics have become a useful tool to measure how fair or unfair a machine
learning system may be for its stakeholders. In the context of recommender systems …

A large body of research has attempted to ensure that algorithmic systems adhere to notions
of fairness and transparency. Increasingly, researchers have highlighted that mitigating …

Recent years have witnessed an interesting phenomenon in which users come together to
interrogate potentially harmful algorithmic behaviors they encounter in their everyday lives …

Background: Autistic transgender people face unique risks in society, including inequities in
accessing needed care and related mental health disparities. Given the need for specific …

Despite opaque automated systems and few formal channels for participation, YouTubers
navigate algorithmic governance on the platform through a strategy we call user-generated …

Responding to frustrations with the enforcement of copyright on YouTube, some creators
publish videos that discuss their experiences, challenge claims of infringement, and critique …

This study employs semistructured interviews and algorithmic ethnography to explore how
algorithmic shadowbans have been used to moderate content related to Chinese gay men …

The intersection between art and technology poses new challenges for creative expression
in the digital space. This paper investigates the algorithmic censorship of artistic nudity in …