Recorded talks, conference presentations, tutorials, and interviews from the Data Lab. Slides for our tutorials are on the tutorials page; the papers behind these talks are in publications.
Sarcasm Detection on Twitter: A Behavioral Modeling Approach
WSDM 2025 Test of Time Award talk · Ashwin Rajadesingan, Reza Zafarani, and Huan Liu
Our WSDM 2015 paper on detecting sarcasm through behavioral modeling received the Test of Time Award at WSDM 2025 in Hanover, Germany. Recording courtesy of the TIB AV-Portal (doi:10.5446/70201, CC BY 3.0 DE).
“This is Fake! Shared It by Mistake”: Assessing the Intent of Fake News Spreaders
TheWebConf (WWW) 2022 · Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, and Reza Zafarani
Not everyone who spreads fake news means to. This talk separates intent from behavior when modeling who spreads what. Read the paper.
Interpretable Network Representations
TheWebConf (WWW) 2022 tutorial · Shengmin Jin, Danai Koutra, and Reza Zafarani
How to represent an entire network so a human can read it. Slides and outline · try WebShapes.
Fake News Research: Theories, Detection Strategies, and Open Problems
ACM SIGKDD (KDD) 2019 tutorial · Reza Zafarani, Xinyi Zhou, Kai Shu, and Huan Liu
Part 1 of 2
Part 2 of 2
These recordings are hosted by the ACM Digital Library. If the players above do not load, watch them directly: Part 1 · Part 2 · tutorial entry. A written version is the self-guided tutorial on fake-news.site.
The Data Exchange Podcast: Fake News Detection
Gradient Flow, Episode 48 · Xinyi Zhou interviewed by Ben Lorica
Xinyi Zhou, then a PhD student in the lab and now an assistant professor at Boise State University, on detecting fake news and what makes the problem hard.
Have a recording of one of our talks that is not listed here? Let us know through contact.