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
CSCW - October 17, 2020
Country Differences in Social Comparison on Social Media
Justin Cheng, Moira Burke, Bethany de Gant
ICWSM - June 8, 2020
When Does Trust in Online Social Groups Grow?
Shankar Iyer, Justin Cheng, Nick Brown, Xiuhua Wang
CHI - April 25, 2020
Social Comparison and Facebook: Feedback, Positivity, and Opportunities for Comparison
Moira Burke, Justin Cheng, Bethany de Gant
CHI - April 20, 2020
Don’t Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions
Jonathan Chang, Justin Cheng, Cristian Danescu-Niculescu-Mizil
CHI - May 4, 2019
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
ICWSM 2018 - June 25, 2018
Do Diffusion Protocols Govern Cascade Growth?
Justin Cheng, Jon Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada Adamic
WWW - April 7, 2014
Can cascades be predicted?
Justin Cheng, Lada Adamic, Alex Dow, Jon Kleinberg, Jure Leskovec
