Anjana Susarla, PhD Professor, Information Systems
Eli Broad College of Business
Michigan State University
Recorded November 18, 2020
Studies of health literacy in the United States, such as the National Assessment of Adult Literacy conducted in 2003, estimated that only 12% of adults had proficient health literacy skills. This talk will examine how social media platforms such as YouTube widen such health literacy disparities by steering users toward questionable content. Extracting thousands of videos purporting to be about diabetes, I verified whether the information shown conforms to valid medical guidelines. Using methods from computer science called deep learning, I identify medical terms in these videos and then classify videos based on whether they encode a high or low degree of medical information. Using data from aggregate engagement with these videos, I discover that videos that are popular are less likely to contain validated medical information. A study on the most popular videos on COVID-19 likewise found that a quarter of videos did not contain medically valid information.
This lecture was part of the 2020-2021 Bioethics Public Seminar Series, presented by the
Center for Ethics.