Publications (10)
Assessing enactment of content regulation policies: A post hoc crowd-sourced audit of election misinformation on YouTube
Prerna Juneja, Md Momen Bhuiyan, Tanushree Mitra
With the 2022 US midterm elections approaching, conspiratorial claims about the 2020 presidential elections continue to threaten users' trust in the electoral process. To regulate…
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…
Viblio: Introducing Credibility Signals and Citations to Video-Sharing Platforms
Emelia Hughes, Renee Wang, Prerna Juneja +3
As more users turn to video-sharing platforms like YouTube as an information source, they may consume misinformation despite their best efforts. In this work, we investigate ways t…
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…
Anvaya: An Algorithm and Case-Study on Improving the Goodness of Software Process Models generated by Mining Event-Log Data in Issue Tracking System
Prerna Juneja, Divya Kundra, Ashish Sureka
Issue Tracking Systems (ITS) such as Bugzilla can be viewed as Process Aware Information Systems (PAIS) generating event-logs during the life-cycle of a bug report. Process Mining…
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…
Persona-Grounded Safety Evaluation of AI Companions in Multi-Turn Conversations
Prerna Juneja, Lika Lomidze
There are growing concerns about the risks posed by AI companion applications designed for emotional engagement. Existing safety evaluations often rely on self-reported user data o…
Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation Between the United States and South Africa
Hayoung Jung, Prerna Juneja, Tanushree Mitra
Despite being an integral tool for finding health-related information online, YouTube has faced criticism for disseminating COVID-19 misinformation globally to its users. Yet, prio…
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…