Justin Cheng

Research Scientist

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.


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

Do Cascades Recur?

Justin Cheng, Lada Adamic, Jon Kleinberg, Jure Leskovec

WWW - April 11, 2016

Rumor Cascades

Adrien Friggeri, Lada Adamic, Dean Eckles, Justin Cheng

ICWSM - June 2, 2014

Can cascades be predicted?

Justin Cheng, Lada Adamic, Alex Dow, Jon Kleinberg, Jure Leskovec

WWW - April 7, 2014