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Modeling and Learning Social Influence from Opinion Dynamics
June 25, 2020 @ 17:30 - 19:00
The Long Island (LI) Chapter of IEEE Signal Processing Society (SPS) presents the following Distinguished Lecture: Modeling and Learning Social Influence from Opinion Dynamics
Speaker: Dr. Anna Scaglione, Electrical and Computing Engineering Professor, Arizona State University
Abstract:
Opinion dynamics models aim at capturing the phenomenon of social learning through public discourse. While a functioning society should converge towards common answers, the reality often is characterized by divisions and polarization. This talk reviews the key models that capture social learning and its vulnerabilities. In particular, we review models that explain the effect of bounded confidence and social pressure from zealots (i.e. fake new sources) and show how very simple models can explain the trends observed when social learning is subject to these phenomena. We their influence exposes trust different agents place on each other and introduce new learning algorithms that can estimate how agents influence each other.
Thursday evening, June 25, Zoom Virtual Meeting
Agenda:
Technical Support: 17:30-18:00 EST
Introductions 18:00-18:05 EST
DL: 18:05-18:50 EST
Q&A: 18:50-19 EST
The lecture is FREE and all are invited: IEEE Members, Non-Members, and Students.
Zoom meeting is limited, so please register at your earliest convenience.
Thanks,
Mr. Mesecher & Dr. Donaldson
Signal Processing Vice Chair & Chair, 2020
IEEE LI Section
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