11 citations · 15 across the 6 of their papers we have counts for
6 papers
Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities
Sara Abdali, Sina shaham, Bhaskar Krishnamachari
As social media platforms are evolving from text-based forums into multi-modal environments, the nature of misinformation in social media is also transforming accordingly. Taking a…
Deepfake Representation with Multilinear Regression
Sara Abdali, M. Alex O. Vasilescu, Evangelos E. Papalexakis
Generative neural network architectures such as GANs, may be used to generate synthetic instances to compensate for the lack of real data. However, they may be employed to create m…
KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection
Sara Abdali, Neil Shah, Evangelos E. Papalexakis
Graphs are one of the most efficacious structures for representing datapoints and their relations, and they have been largely exploited for different applications. Previously, the…
Identifying Misinformation from Website Screenshots
Sara Abdali, Rutuja Gurav, Siddharth Menon +4
Can the look and the feel of a website give information about the trustworthiness of an article? In this paper, we propose to use a promising, yet neglected aspect in detecting the…
Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition
Sara Abdali, Neil Shah, Evangelos E. Papalexakis
Distinguishing between misinformation and real information is one of the most challenging problems in today's interconnected world. The vast majority of the state-of-the-art in det…
Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings
Gisel Bastidas Guacho, Sara Abdali, Neil Shah +1
Fake news may be intentionally created to promote economic, political and social interests, and can lead to negative impacts on humans beliefs and decisions. Hence, detection of fa…