76 citations · 109 across the 5 of their papers we have counts for
13 papers
A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts
Hamidreza Alvari, Ghazaleh Beigi, Soumajyoti Sarkar +4
Over the past few years, we have observed different media outlets' attempts to shift public opinion by framing information to support a narrative that facilitate their goals. Malic…
Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis
Ghazaleh Beigi, Jiliang Tang, Huan Liu
Many real-world relations can be represented by signed networks with positive links (e.g., friendships and trust) and negative links (e.g., foes and distrust). Link prediction help…
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo +3
Recommendation is one of the critical applications that helps users find information relevant to their interests. However, a malicious attacker can infer users' private information…
I Am Not What I Write: Privacy Preserving Text Representation Learning
Ghazaleh Beigi, Kai Shu, Ruocheng Guo +2
Online users generate tremendous amounts of textual information by participating in different activities, such as writing reviews and sharing tweets. This textual data provides opp…
Signed Link Prediction with Sparse Data: The Role of Personality Information
Ghazaleh Beigi, Suhas Ranganath, Huan Liu
Predicting signed links in social networks often faces the problem of signed link data sparsity, i.e., only a small percentage of signed links are given. The problem is exacerbated…
Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media
Hamidreza Alvari, Elham Shaabani, Soumajyoti Sarkar +2
Recent years have witnessed a surge of manipulation of public opinion and political events by malicious social media actors. These users are referred to as "Pathogenic Social Media…