34 citations · 86 across the 10 of their papers we have counts for
5 papers · 1 filter
Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions
Saharsh Barve, Andy Mao, Jiayue Melissa Shi +2
Recent advances in generative AI have enabled visual content creation through text-to-image (T2I) generation. However, despite their creative potential, T2I models often replicate…
Dissecting users' needs for search result explanations
Prerna Juneja, Wenjuan Zhang, Alison Marie Smith-Renner +3
There is a growing demand for transparency in search engines to understand how search results are curated and to enhance users' trust. Prior research has introduced search result e…
Human and technological infrastructures of fact-checking
Prerna Juneja, Tanushree Mitra
Increasing demands for fact-checking has led to a growing interest in developing systems and tools to automate the fact-checking process. However, such systems are limited in pract…
Algorithmic nudge to make better choices: Evaluating effectiveness of XAI frameworks to reveal biases in algorithmic decision making to users
Prerna Juneja, Tanushree Mitra
In this position paper, we propose the use of existing XAI frameworks to design interventions in scenarios where algorithms expose users to problematic content (e.g. anti vaccine v…
Auditing E-Commerce Platforms for Algorithmically Curated Vaccine Misinformation
Prerna Juneja, Tanushree Mitra
There is a growing concern that e-commerce platforms are amplifying vaccine-misinformation. To investigate, we conduct two-sets of algorithmic audits for vaccine misinformation on…