activity
20182026
most citedYouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

econ.EM2026

Algorithm or Creative? Disentangling Algorithmic Divergent Delivery from User Ad Preferences in Digital Platforms

Pallavi Pal, Anjana Susarla

Online advertising platforms host hundreds of thousands of A/B tests, but the platform's delivery algorithm routes each creative to the audience it predicts will engage. Every two-…

eess.IV2024

YouTube Video Analytics for Patient Engagement: Evidence from Colonoscopy Preparation Videos

Yawen Guo, Xiao Liu, Anjana Susarla +1

Videos can be an effective way to deliver contextualized, just-in-time medical information for patient education. However, video analysis, from topic identification and retrieval t…

cs.IR2023

YouTube Videos for Public Health Literacy? A Machine Learning Pipeline to Curate Covid-19 Videos

Yawen Guo, Xiao Liu, Anjana Susarla +1

The COVID-19 pandemic has highlighted the dire necessity to improve public health literacy for societal resilience. YouTube, the largest video-sharing social media platform, provid…

cs.IR2022

On Curating Responsible and Representative Healthcare Video Recommendations for Patient Education and Health Literacy: An Augmented Intelligence Approach

Krishna Pothugunta, Xiao Liu, Anjana Susarla +1

Studies suggest that one in three US adults use the Internet to diagnose or learn about a health concern. However, such access to health information online could exacerbate the dis…

cs.CV2018★ 8 cited

YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos

Xiao Liu, Bin Zhang, Anjana Susarla +1

YouTube presents an unprecedented opportunity to explore how machine learning methods can improve healthcare information dissemination. We propose an interdisciplinary lens that sy…