I am a computer scientist on the Core Data Science team at Facebook, and my research lies at the intersection of data science and human-computer interaction. My current interests include cascading behavior in social networks, psychological well-being, and online antisocial behavior. My work has received a best paper award, as well as several best paper nominations at CHI, CSCW, ICWSM and WWW. I earned my PhD in computer science at Stanford University.
Interests
Computational social science, social network analysis and social computing
Latest Publications
Country Differences in Social Comparison on Social Media
Justin Cheng, Moira Burke, Bethany de Gant
CSCW - October 17, 2020
When Does Trust in Online Social Groups Grow?
Shankar Iyer, Justin Cheng, Nick Brown, Xiuhua Wang
ICWSM - June 8, 2020
Social Comparison and Facebook: Feedback, Positivity, and Opportunities for Comparison
Moira Burke, Justin Cheng, Bethany de Gant
CHI - April 25, 2020
Don’t Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions
Jonathan Chang, Justin Cheng, Cristian Danescu-Niculescu-Mizil
CHI - April 20, 2020
Understanding Perceptions of Problematic Facebook Use
Justin Cheng, Moira Burke, Elena Goetz Davis
CHI - May 4, 2019
When Do People Trust Their Social Groups?
Xiao Ma, Justin Cheng, Shankar Iyer, Mor Naaman
CHI - May 4, 2019
Do Diffusion Protocols Govern Cascade Growth?
Justin Cheng, Jon Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada Adamic
ICWSM 2018 - June 25, 2018
Can cascades be predicted?
Justin Cheng, Lada Adamic, Alex Dow, Jon Kleinberg, Jure Leskovec
WWW - April 7, 2014
