activity
20112021
most citedDetection of Cyberbullying Incidents on the Instagram Social Network

93 citations · 109 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CY20217 cited

Analyzing Behavioral Changes of Twitter Users After Exposure to Misinformation

Yichen Wang, Richard Han, Tamara Lehman +2

Social media platforms have been exploited to disseminate misinformation in recent years. The widespread online misinformation has been shown to affect users' beliefs and is connec…

cs.CY2020

Analyzing Twitter Users' Behavior Before and After Contact by the Internet Research Agency

Upasana Dutta, Rhett Hanscom, Jason Shuo Zhang +4

Social media platforms have been exploited to conduct election interference in recent years. In particular, the Russian-backed Internet Research Agency (IRA) has been identified as…

cs.HC20197 cited

GEVR: An Event Venue Recommendation System for Groups of Mobile Users

Jason Shuo Zhang, Mike Gartrell, Richard Han +2

In this paper, we present GEVR, the first Group Event Venue Recommendation system that incorporates mobility via individual location traces and context information into a "social-b…

cs.SI20171 cited

Understanding Group Event Scheduling via the OutWithFriendz Mobile Application

Shuo Zhang, Khaled Alanezi, Mike Gartrell +3

The wide adoption of smartphones and mobile applications has brought significant changes to not only how individuals behave in the real world, but also how groups of users interact…

cs.SI201593 cited

Detection of Cyberbullying Incidents on the Instagram Social Network

Homa Hosseinmardi, Sabrina Arredondo Mattson, Rahat Ibn Rafiq +3

Cyberbullying is a growing problem affecting more than half of all American teens. The main goal of this paper is to investigate fundamentally new approaches to understand and auto…

cs.CR20111 cited

SafeVchat: Detecting Obscene Content and Misbehaving Users in Online Video Chat Services

Xinyu Xing, Yu-Li Liang, Hanqiang Cheng +6

Online video chat services such as Chatroulette, Omegle, and vChatter that randomly match pairs of users in video chat sessions are fast becoming very popular, with over a million…