Face Mask Sentiment Analysis

As the COVID-19 pandemic continues, the public (or at least those with Twitter accounts) are sharing their personal opinions about mask-wearing via Twitter. What does this data tell us about public opinion? How does it vary by demographic? What, if anything, can make people change their minds?

Today we speak to, Neil Yeung and Jonathan Lai, Undergraduate students in the Department of Computer Science at the University of Rochester, and Professor of Computer Science, Jiebo-Luoto to discuss their recent paper. [Face Off: Polarized Public Opinions on Personal Face Mask Usage during the COVID-19 Pandemic](https://arxiv.org/abs/2011.00336).

**Works Mentioned** https://arxiv.org/abs/2011.00336

**Emails:** Neil Yeung nyeung@u.rochester.edu

Jonathan Lia jlai11@u.rochester.edu

Jiebo Luo [jluo@cs.rochester.edu](mailto:jluo@cs.rochester.edu)

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Guests

Neil Yeung: Neil Yeung is a student researcher in the Visual Intelligence & Social Media Analytics (VIStA) group at the University of Rochester. He is broadly interested in machine learning, social media data mining, and software engineering. He is working towards a B.S. in Computer Science with a minor in Math and Statistics.

Jonathan Lai

Jiebo Luo