activity
20192023
most citedDomain Adaptive Fake News Detection via Reinforcement Learning

99 citations · 195 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CY2023

Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)

Pouria Salehi, Yang Ba, Nayoung Kim +10

The Multisource AI Scorecard Table (MAST) is a checklist tool based on analytic tradecraft standards to inform the design and evaluation of trustworthy AI systems. In this study, w…

cs.SI2022

Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data

Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng +2

With the onset of the COVID-19 pandemic, news outlets and social media have become central tools for disseminating and consuming information. Because of their ease of access, users…

cs.SI2022★ 1 cited

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…

cs.SI2022★ 99 cited

Domain Adaptive Fake News Detection via Reinforcement Learning

Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu +2

With social media being a major force in information consumption, accelerated propagation of fake news has presented new challenges for platforms to distinguish between legitimate…

cs.AI2021★ 1 cited

Causal Learning for Socially Responsible AI

Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth +1

There have been increasing concerns about Artificial Intelligence (AI) due to its unfathomable potential power. To make AI address ethical challenges and shun undesirable outcomes,…

cs.CL2021★ 3 cited

"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?

Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V Mancenido +1

Neural network-based embeddings have been the mainstream approach for creating a vector representation of the text to capture lexical and semantic similarities and dissimilarities.…