1.2k citations · 1.5k across the 15 of their papers we have counts for
16 papers
Representing Higher-Order Networks with Spectral Moments
Hao Tian, Shengmin Jin, Reza Zafarani
The spectral properties of traditional (dyadic) graphs, where an edge connects exactly two vertices, are widely studied in different applications. These spectral properties are clo…
Harnessing the Power of Noise: A Survey of Techniques and Applications
Reyhaneh Abdolazimi, Shengmin Jin, Pramod K. Varshney +1
Noise, traditionally considered a nuisance in computational systems, is reconsidered for its unexpected and counter-intuitive benefits across a wide spectrum of domains, including…
Higher-Order Networks Representation and Learning: A Survey
Hao Tian, Reza Zafarani
Network data has become widespread, larger, and more complex over the years. Traditional network data is dyadic, capturing the relations among pairs of entities. With the need to m…
Social network modeling and applications, a tutorial
Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi
Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…
Linguistic-style-aware Neural Networks for Fake News Detection
Xinyi Zhou, Jiayu Li, Qinzhou Li +1
We propose the hierarchical recursive neural network (HERO) to predict fake news by learning its linguistic style, which is distinguishable from the truth, as psychological theorie…
From Fake News to #FakeNews: Mining Direct and Indirect Relationships among Hashtags for Fake News Detection
Xinyi Zhou, Reza Zafarani, Emilio Ferrara
The COVID-19 pandemic has gained worldwide attention and allowed fake news, such as ``COVID-19 is the flu,'' to spread quickly and widely on social media. Combating this coronaviru…
"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…
CHECKED: Chinese COVID-19 Fake News Dataset
Chen Yang, Xinyi Zhou, Reza Zafarani
COVID-19 has impacted all lives. To maintain social distancing and avoiding exposure, works and lives have gradually moved online. Under this trend, social media usage to obtain CO…
ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research
Xinyi Zhou, Apurva Mulay, Emilio Ferrara +1
First identified in Wuhan, China, in December 2019, the outbreak of COVID-19 has been declared as a global emergency in January, and a pandemic in March 2020 by the World Health Or…
Sentiment Paradoxes in Social Networks: Why Your Friends Are More Positive Than You?
Xinyi Zhou, Shengmin Jin, Reza Zafarani
Most people consider their friends to be more positive than themselves, exhibiting a Sentiment Paradox. Psychology research attributes this paradox to human cognition bias. With th…
Credibility-based Fake News Detection
Niraj Sitaula, Chilukuri K. Mohan, Jennifer Grygiel +2
Fake news can significantly misinform people who often rely on online sources and social media for their information. Current research on fake news detection has mostly focused on…
Network-based Fake News Detection: A Pattern-driven Approach
Xinyi Zhou, Reza Zafarani
Fake news gains has gained significant momentum, strongly motivating the need for fake news research. Many fake news detection approaches have thus been proposed, where most of the…
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…
Fake News Early Detection: An Interdisciplinary Study
Xinyi Zhou, Atishay Jain, Vir V. Phoha +1
Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed no…
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
Xinyi Zhou, Reza Zafarani
The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news detection and intervention. This survey reviews and…
Assessing the Utility of Weather Data for Photovoltaic Power Prediction
Reza Zafarani, Sara Eftekharnejad, Urvi Patel
Photovoltaic systems have been widely deployed in recent times to meet the increased electricity demand as an environmental-friendly energy source. The major challenge for integrat…