76 citations · 237 across the 13 of their papers we have counts for
14 papers
Social Media for Mental Health: Data, Methods, and Findings
Nur Shazwani Kamarudin, Ghazaleh Beigi, Lydia Manikonda +1
There is an increasing number of virtual communities and forums available on the web. With social media, people can freely communicate and share their thoughts, ask personal questi…
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…
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…
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…
Social Media and User Privacy
Ghazaleh Beigi
Online users generate tremendous amounts of data. To better serve users, it is required to share the user-related data among researchers, advertisers and application developers. Pu…
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…
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…
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…