2022/09/09 by Akaash Kolluri, Kolluri, Akaash, Kami Vinton +3 · 5 citations
Immunology and Microbiology · Medicine · Social Sciences · #Artificial intelligence #Computation and Language (cs.CL) #Computer science #Computer security #Data science #FOS: Computer and information sciences #Internet privacy #Machine Learning (cs.LG) #Misinformation #Misinformation and Its Impacts #Monkeypox #Poxvirus research and outbreaks #Social and Information Networks (cs.SI) #Viral Infections and Outbreaks Research #World Wide Web
paper · pdf · doi:10.48550/arxiv.2209.09300
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2022/09/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Following recent outbreaks, monkeypox-related misinformation continues to rapidly spread online. This negatively impacts response strategies and disproportionately harms LGBTQ+ communities in the short-term, and ultimately undermines the overall effectiveness of public health responses. In an attempt to combat monkeypox-related misinformation, we present PoxVerifi, an open-source, extensible tool that provides a comprehensive approach to assessing the accuracy of monkeypox related claims. Leveraging information from existing fact checking sources and published World Health Organization (WHO) information, we created an open-sourced corpus of 225 rated monkeypox claims. Additionally, we trained an open-sourced BERT-based machine learning model for specifically classifying monkeypox information, which achieved 96% cross-validation accuracy. PoxVerifi is a Google Chrome browser extension designed to empower users to navigate through monkeypox-related misinformation. Specifically, PoxVerifi provides users with a comprehensive toolkit to assess the veracity of headlines on any webpage across the Internet without having to visit an external site. Users can view an automated accuracy review from our trained machine learning model, a user-generated accuracy review based on community-member votes, and have the ability to see similar, vetted, claims. Besides PoxVerifi's comprehensive approach to claim-testing, our platform provides an efficient and accessible method to crowdsource accuracy ratings on monkeypox related-claims, which can be aggregated to create new labeled misinformation datasets.