2.4k citations · 3.7k across the 48 of their papers we have counts for
49 papers
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection
Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah +1
Large language models (LLMs) are increasingly being used for generating text in a variety of use cases, including journalistic news articles. Given the potential malicious nature i…
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski +5
The rapid proliferation of AI-generated text online is profoundly reshaping the information landscape. Among various types of AI-generated text, AI-generated news presents a signif…
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland +1
With the advent of larger and more complex deep learning models, such as in Natural Language Processing (NLP), model qualities like explainability and interpretability, albeit high…
User Migration across Multiple Social Media Platforms
Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha +3
After Twitter's ownership change and policy shifts, many users reconsidered their go-to social media outlets and platforms like Mastodon, Bluesky, and Threads became attractive alt…
p-Laplace equations in conformal geometry
Huajie Liu, Shiguang Ma, Jie Qing +1
In this paper we introduce the p-Laplace equations for the intermediate Schouten curvature in conformal geometry. These p-Laplace equations provide more tools for the study of geom…
Design of origami structures with curved tiles between the creases
Huan Liu, Richard D. James
An efficient way to introduce elastic energy that can bias an origami structure toward desired shapes is to allow curved tiles between the creases. The bending of the tiles supplie…
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach
Faisal Alatawi, Paras Sheth, Huan Liu
The rise of social media platforms has facilitated the formation of echo chambers, which are online spaces where users predominantly encounter viewpoints that reinforce their exist…
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework
Paras Sheth, Tharindu Kumarage, Raha Moraffah +2
Hate speech detection refers to the task of detecting hateful content that aims at denigrating an individual or a group based on their religion, gender, sexual orientation, or othe…
Stylometric Detection of AI-Generated Text in Twitter Timelines
Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee +3
Recent advancements in pre-trained language models have enabled convenient methods for generating human-like text at a large scale. Though these generation capabilities hold great…
Several classes of optimal -ary cyclic codes with minimal distance four
Gaofei Wu, Huan Liu, Yuqing Zhang
Cyclic codes are a subclass of linear codes and have wide applications in data storage systems, communication systems and consumer electronics due to their efficient encoding and d…
Estimating Topic Exposure for Under-Represented Users on Social Media
Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth +1
Online Social Networks (OSNs) facilitate access to a variety of data allowing researchers to analyze users' behavior and develop user behavioral analysis models. These models rely…
Trustworthy Recommender Systems
Shoujin Wang, Xiuzhen Zhang, Yan Wang +2
Recommender systems (RSs) aim to help users to effectively retrieve items of their interests from a large catalogue. For a quite long period of time, researchers and practitioners…
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research
Bohan Jiang, Paras Sheth, Baoxin Li +1
Despite the astonishing success of COVID-19 vaccines against the virus, a substantial proportion of the population is still hesitant to be vaccinated, undermining governmental effo…
Imaging Anisotropic Conductivities from Current Densities
Huan Liu, Bangti Jin, Xiliang Lu
In this paper, we propose and analyze a reconstruction algorithm for imaging an anisotropic conductivity tensor in a second-order elliptic PDE with a nonzero Dirichlet boundary con…
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders
Xinyi Zhou, Kai Shu, Vir V. Phoha +2
Individuals can be misled by fake news and spread it unintentionally without knowing it is false. This phenomenon has been frequently observed but has not been investigated. Our ai…
Applying Phonological Features in Multilingual Text-To-Speech
Cong Zhang, Huinan Zeng, Huang Liu +1
This study investigates whether phonological features can be applied in text-to-speech systems to generate native and non-native speech in English and Mandarin. We present a mappin…
Applications of Social Media in Hydroinformatics: A Survey
Yufeng Yu, Yuelong Zhu, Dingsheng Wan +3
Floods of research and practical applications employ social media data for a wide range of public applications, including environmental monitoring, water resource managing, disaste…
A Novel Trend Symbolic Aggregate Approximation for Time Series
Yufeng Yu, Yuelong Zhu, Dingsheng Wan +2
Symbolic Aggregate approximation (SAX) is a classical symbolic approach in many time series data mining applications. However, SAX only reflects the segment mean value feature and…
The Role of User Profile for Fake News Detection
Kai Shu, Xinyi Zhou, Suhang Wang +2
Consuming news from social media is becoming increasingly popular. Social media appeals to users due to its fast dissemination of information, low cost, and easy access. However, s…
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
Kai Shu, Deepak Mahudeswaran, Suhang Wang +1
Consuming news from social media is becoming increasingly popular. However, social media also enables the widespread of fake news. Because of its detrimental effects brought by soc…
Graph Neural Networks for User Identity Linkage
Wen Zhang, Kai Shu, Huan Liu +1
The increasing popularity and diversity of social media sites has encouraged more and more people to participate in multiple online social networks to enjoy their services. Each us…
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…
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…