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20162025
most citedPrivacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning

76 citations · 237 across the 13 of their papers we have counts for

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8 papers · 1 filter

cs.SI2020

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…

cs.SI2020★ 14 cited

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…

cs.SI2019★ 76 cited

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…

cs.SI2019★ 1 cited

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…

cs.SI2019

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…

cs.SI2018★ 55 cited

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…

cs.SI2018★ 6 cited

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…

cs.SI2016★ 17 cited

Signed Link Analysis in Social Media Networks

Ghazaleh Beigi, Jiliang Tang, Huan Liu

Numerous real-world relations can be represented by signed networks with positive links (e.g., trust) and negative links (e.g., distrust). Link analysis plays a crucial role in und…