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Wearing Masks Implies Refuting Trump?:
Towards Target-specific User Stance Prediction across Events
in COVID-19 and US Election 2020
Speaker (s):
ZHANG Hong
PhD Candidate
School of Computing and Information Systems
Singapore Management University
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Date:
Time:
Venue:
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17 March 2023, Friday
1:30pm – 2:30pm
Meeting Room 4.4, Level 4
School of Computing & Information Systems 1
Singapore Management University
80 Stamford Road Singapore 178902
We look forward to seeing you at this research seminar.
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About the Talk
People who share similar opinions towards controversial topics could form an echo chamber and may share similar political views toward other topics as well. The existence of such connections, which we call connected behavior, gives researchers a unique opportunity to predict how one would behave for a future event given their past behaviors. In this work, we propose a framework to conduct connected behavior analysis. Neural stance detection models are trained on Twitter data collected on three seemingly independent topics, i.e., wearing a mask, racial equality, and Trump, to detect people’s stance, which we consider as their online behavior in each topic-related event. Our results reveal a strong connection between the stances toward the three topical events and demonstrate the power of past behaviors in predicting one’s future behavior.
This is a Pre-Conference talk for 15th ACM Web Science Conference 2023 (WebSci23).
About the Speaker
Ph.D. candidate at the School of Computing and Information System, Singapore management University, supervised by Professor Gao Wei. Research interests focus on NLP applications.
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