59 citations · 169 across the 28 of their papers we have counts for
5 papers · 1 filter
Towards Explaining Subjective Ground of Individuals on Social Media
Younghun Lee, Dan Goldwasser
Large-scale language models have been reducing the gap between machines and humans in understanding the real world, yet understanding an individual's theory of mind and behavior fr…
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision
Tunazzina Islam, Dan Goldwasser
In the age of social media, where billions of internet users share information and opinions, the negative impact of pandemics is not limited to the physical world. It provokes a su…
Weakly Supervised Learning for Analyzing Political Campaigns on Facebook
Tunazzina Islam, Shamik Roy, Dan Goldwasser
Social media platforms are currently the main channel for political messaging, allowing politicians to target specific demographics and adapt based on their reactions. However, mak…
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate
Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan +4
The Covid-19 pandemic has led to infodemic of low quality information leading to poor health decisions. Combating the outcomes of this infodemic is not only a question of identifyi…
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents
Maria Leonor Pacheco, Max von Hippel, Ben Weintraub +2
Automated attack discovery techniques, such as attacker synthesis or model-based fuzzing, provide powerful ways to ensure network protocols operate correctly and securely. Such tec…