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Anjana Susarla, Omura-Saxena Professor in Responsible AI, Michigan State University.
Title: Is seeking information on social media bad for your health? YouTube Video Analytics for Health Literacy and Chronic Care Management
Abstract: Video sharing social media platforms, such as YouTube, offer an effective way to deliver medical information that may be more understandable for the public, with the potential to improve health literacy, patient-physician interactions, self-care and outcomes. Few studies have identified scalable, replicable and efficient technology-enabled interventions, delivered as evidence-backed digital therapeutics, to improve the ease with which patients and health professionals can retrieve understandable medical information to manage chronic conditions. We propose an augmented intelligence approach that synthesizes annotations from domain experts, deep learning and co-training methods from machine learning, and a systematic approach to extract patient education constructs on understandability and encoded medical information to develop an automated, generalizable video classification solution. We further examine the simultaneous impact of understandability and validated medical information in a video on several dimensions of collective engagement by conducting a multiple-treatment propensity score based matching approach that allows us to implement a quasi-randomization research design. While confirming common assessments of the relationship between user engagement and patient education materials, our analysis quantifies the nuanced effects using actual viewing data in the specific context of understandability of complex medical information encoded in patient education videos found on YouTube, with implications for research and practice.
Bio: Anjana Susarla is the Omura-Saxena Endowed Professor of Responsible AI at the Eli Broad College of Business, Michigan State University. She earned an undergraduate degree in Mechanical Engineering from the Indian Institute of Technology, a graduate degree in Business Administration from the Indian Institute of Management and a Ph.D. in Information Systems from the University of Texas at Austin. Her research interests include the economics of Information Systems and Artificial Intelligence.