37 citations · 106 across the 23 of their papers we have counts for
5 papers · 1 filter
Generative AI and Perceptual Harms: Who's Suspected of using LLMs?
Kowe Kadoma, Danaé Metaxa, Mor Naaman
Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, li…
Identity-related Speech Suppression in Generative AI Content Moderation
Grace Proebsting, Oghenefejiro Isaacs Anigboro, Charlie M. Crawford +2
Automated content moderation has long been used to help identify and filter undesired user-generated content online. But such systems have a history of incorrectly flagging content…
Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines
Stephanie Wang, Shengchun Huang, Alvin Zhou +1
Social media personalization algorithms increasingly influence the flow of civic information through society, resulting in concerns about "filter bubbles", "echo chambers", and oth…
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring
Lena Armstrong, Abbey Liu, Stephen MacNeil +1
Large language models (LLMs) are increasingly being introduced in workplace settings, with the goals of improving efficiency and fairness. However, concerns have arisen regarding t…
Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of Machine Learning Applications
Luis Morales-Navarro, Yasmin B. Kafai, Vedya Konda +1
As artificial intelligence/machine learning (AI/ML) applications become more pervasive in youth lives, supporting them to interact, design, and evaluate applications is crucial. Th…