Electrical and Computer Engineering Seminar
Computational Journalism Research
Dr. Naeemul Hassan
University of Maryland
Abstract: Computational journalism is a relatively nascent research domain where journalistic problems are addressed using computation techniques, and, at the same time, computation techniques are audited using journalism values. In this talk, Dr. Naeemul Hassan will present the research projects done at the University of Maryland Computational Journalism Lab. The talk will cover computational methods to facilitate fact-checking and misinformation detection.
Bio: Dr. Naeemul Hassan is an assistant professor at the Philip Merrill College of Journalism and the College of Information Studies and an affiliate assistant professor in the computer science department of the University of Maryland, College Park. He has interests in research areas related to Big Data and Data Science, including Database, Data Mining, and Natural Language Processing. His current research focus is on Computational Journalism and Social Sensing. His recent research projects involve automated fact-checking, credible health information, and misinformation detection. He has built computational technologies (e.g., ClaimViz, BaitBuster, ClaimBuster) that have been used by professional journalists to automate fact-checking and identify potential misinformation. His research has been sponsored by the National Science Foundation (NSF). Before joining UMD, he was an assistant professor in the Computer and Information Science department at the University of Mississippi. He earned a doctoral degree in Computer Science from the University of Texas at Arlington in 2016.
Friday, March 1st, 2024, 4 pm via ZOOM
ZOOM Link: https://clarkson.zoom.us/j/95106031702?pwd=NnRNNU5yU2k3WVRTSWdjSTlrUnlaUT09
