471 citations · 801 across the 16 of their papers we have counts for
6 papers · 1 filter
Deception Detection in Group Video Conversations using Dynamic Interaction Networks
Srijan Kumar, Chongyang Bai, V. S. Subrahmanian +1
Detecting groups of people who are jointly deceptive in video conversations is crucial in settings such as meetings, sales pitches, and negotiations. Past work on deception in vide…
FairJudge: Trustworthy User Prediction in Rating Platforms
Srijan Kumar, Bryan Hooi, Disha Makhija +3
Rating platforms enable large-scale collection of user opinion about items (products, other users, etc.). However, many untrustworthy users give fraudulent ratings for excessive mo…
An Army of Me: Sockpuppets in Online Discussion Communities
Srijan Kumar, Justin Cheng, Jure Leskovec +1
In online discussion communities, users can interact and share information and opinions on a wide variety of topics. However, some users may create multiple identities, or sockpupp…
Ensemble-Based Algorithms to Detect Disjoint and Overlapping Communities in Networks
Tanmoy Chakraborty, Noseong Park, V. S. Subrahmanian
Given a set of community detection algorithms and a graph as inputs, we propose two ensemble methods and that (respectively) ide…
The DARPA Twitter Bot Challenge
V. S. Subrahmanian, Amos Azaria, Skylar Durst +18
A number of organizations ranging from terrorist groups such as ISIS to politicians and nation states reportedly conduct explicit campaigns to influence opinion on social media, po…
VEWS: A Wikipedia Vandal Early Warning System
Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian
We study the problem of detecting vandals on Wikipedia before any human or known vandalism detection system reports flagging potential vandals so that such users can be presented e…