Social Media Mining
Social media is a source of massive amounts of information. Social media is accessible by large populations and it contains large amounts of health-related chatter posted by users themselves. Therefore, social media often contains health-related information that may not be available from any other sources.
Our social media mining research covers a range of topics including population health and individual health.
Our objectives are:
We currently have two active funded projects.
Social Media Mining for Toxicovigilance
Our work on prescription medication use and misuse is funded by the NIH/NIDA. We are trying to build the NLP and computational methods that can make use of social media big data to predict future drug-related crises (such as the opioid crisis), study the current state of prescription drug related problems, study the natural histories of individuals suffering from substance use disorder and mining information that are useful to toxicologists who are assisting people with substance use disorder on a daily basis.
Our publications related to the project are available from the NIH: HERE.
Social Media Mining for Studying Medicaid Related Information
We are working, in collaboration with the Oregon Health & Science University and the University of Pennsylvania, to study Medicaid-related information from Twitter. We have two primary objectives: (i) to understand how medicaid agencies and managed care organizations (MCOs) are using Twitter to provide services, and (ii) to study user perceptions about Medicaid-related services.