
Predicting Falsehood of a Tweet Concerning COVID-19 Using Location, Socioeconomic Data, and Tweet Sentiment
Danish Baig, KaHo Wong, Sabina Henry

Predicting Vaccine Uptake Rate Using Machine Learning: An infodemiological Study in the United States
Xingzuo Zhou, Yiang Li, Shuheng Yang, Xiyan Shi

Machine learning-based predictive modelling of COVID-19 vaccination uptake within U.S. counties
Queena Cheong, Martin Au-Yeung, Stephanie Quon, Katsy Concepcion

Pipeline for identifying vaccine-specific infodemic insights from Youtube and Reddit and leveraging NLP deep learning models to predict misinformation
Nikhil Saini, Nirupama Tamvada, Mansi Patel

Classifying Fake COVID-19 Tweets With Supervised Learning and Deep Learning Models
Mashiyat Saif, Marcus Chung, Oluwatitomi Adebajo, Oluwatobi Adebajo

What pandemic events have had the most influence on public sentiment towards the AstraZeneca, Pfizer and Moderna COVID-19 Vaccines?
Muskaan Kaur Bajwa, Angelica Ramoutar, Neha Purakan

Data Exploration and Classification of News Article Reliability: A Deep Learning Study
Kevin Zhan, Rafay Osmani, Yutong Li, Xiaoyu Wang

Investigating the impact of claims on AstraZeneca vaccine causing blood-clotting on the public perception of vaccination
Jeyoung Oh, Trista Tian , Thao Tran, Max Vu

Introducing ADMIT : A First Step in Uncovering FDA’s Deceit
Jérémie Babeu, Zoé Benoit, Andréanne Boulanger, Antoine Turcotte

You’ve Reddit All: Popular COVID-19 Topics and Public Sentiment Trends in Vancouver, British Columbia
Cathy Yan, Melanie Law, Stephanie Nguyen, Janelle G. Cheung

The Plebeian Algorithm A Democratic Approach to Censorship and Moderation
Benjamin D. Fedoruk, Harrison S. Nelson, Kai A. Fucile Ladouceur, Russell M. Frost

Are You Spreading Misinformation? Analyzing How Influential Twitter Users Contribute to the Spread of COVID-19 Information
Bizhan Alatif, Jennifer Tram Su, Maggie Wang, Sarina Xi

Is it Fact or Fake? COVID-19 Misinformation Tweets and Network Structures are Highly Similar to Factual Tweets
Adam Radek Martinez, John Zhang, Simha Kalimipalli, Karan Manku