2.4k citations · 3.7k across the 48 of their papers we have counts for
10 papers · 1 filter
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles
Ghazaleh Beigi, Ruocheng Guo, Alexander Nou +2
The overturning of the Internet Privacy Rules by the Federal Communications Commissions (FCC) in late March 2017 allows Internet Service Providers (ISPs) to collect, share and sell…
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo, Lu Cheng, Jundong Li +2
This work considers the question of how convenient access to copious data impacts our ability to learn causal effects and relations. In what ways is learning causality in the era o…
FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media
Kai Shu, Deepak Mahudeswaran, Suhang Wang +2
Social media has become a popular means for people to consume news. Meanwhile, it also enables the wide dissemination of fake news, i.e., news with intentionally false information,…
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
Jundong Li, Liang Wu, Huan Liu
As opposed to manual feature engineering which is tedious and difficult to scale, network representation learning has attracted a surge of research interests as it automates the pr…
Privacy in Social Media: Identification, Mitigation and Applications
Ghazaleh Beigi, Huan Liu
The increasing popularity of social media has attracted a huge number of people to participate in numerous activities on a daily basis. This results in tremendous amounts of rich u…
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
Vineeth Rakesh, Ruocheng Guo, Raha Moraffah +2
Modeling spillover effects from observational data is an important problem in economics, business, and other fields of research. % It helps us infer the causality between two seemi…
Securing Social Media User Data - An Adversarial Approach
Ghazaleh Beigi, Kai Shu, Yanchao Zhang +1
Social media users generate tremendous amounts of data. To better serve users, it is required to share the user-related data among researchers, advertisers and application develope…
Studying Fake News via Network Analysis: Detection and Mitigation
Kai Shu, H. Russell Bernard, Huan Liu
Social media for news consumption is becoming increasingly popular due to its easy access, fast dissemination, and low cost. However, social media also enable the wide propagation…
Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media
Lydia Manikonda, Ghazaleh Beigi, Huan Liu +1
Social media platforms are revolutionizing the way users communicate by increasing the exposure to highly stigmatized issues in the society. Sexual abuse is one such issue that rec…
Similar but Different: Exploiting Users' Congruity for Recommendation Systems
Ghazaleh Beigi, Huan Liu
The pervasive use of social media provides massive data about individuals' online social activities and their social relations. The building block of most existing recommendation s…