3 papers
cs.CY2024
Working with Color: How Color Quantization Can Aid Researchers of Problematic Information
Nina Lutz, Jordyn W. Padzensky, Joseph S. Schafer
Analyzing large sets of visual media remains a challenging task, particularly in mixed-method studies dealing with problematic information and human subjects. Using AI tools in suc…
cs.CY2024
"I don't see myself represented here at all": User Experiences of Stable Diffusion Outputs Containing Representational Harms across Gender Identities and Nationalities
Sourojit Ghosh, Nina Lutz, Aylin Caliskan
Though research into text-to-image generators (T2Is) such as Stable Diffusion has demonstrated their amplification of societal biases and potentials to cause harm, such research ha…
cs.CY2024
"We're not all construction workers": Algorithmic Compression of Latinidad on TikTok
Nina Lutz, Cecilia Aragon
The Latinx diaspora in the United States is a rapidly growing and complex demographic who face intersectional harms and marginalizations in sociotechnical systems and are currently…