In accordance with updated University guidelines on limiting public gatherings, this event is offered virtually via Zoom. Please register for this lecture to receive information on how to connect via computer or phone. (Registration information available soon.)
Michael L. Best
Professor of International Affairs and Interactive Computing, Georgia Tech
Director of Research, Georgia Tech - Shenzhen
Social media offers new ways for citizens to discuss and debate politics and engage in the democratic process. These online platforms can host rich policy relevant debate or provide space for disinformation and hate speech. In this talk, Best will overview his lab's experience tracking and responding to social media content during national elections, especially in African nations. He will then foreshadow the lab's current work to develop machine learning classifiers designed to identify hate speech in the forthcoming election in Myanmar.
For more information and to register, please visit: https://kellogg.nd.edu/lecture-michael-best