Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination
This addresses misinformation for policy-makers and public health officials, but it is incremental as it builds on existing language processing and machine learning tools.
The paper tackles the problem of misinformation on social media by developing the Misinformation Concierge, a proof-of-concept system that identifies subtopics and misleading posts, provides statistical reports for policy-makers, and recommends rebuttal messages, using a curated Twitter dataset on COVID-19 vaccination.
We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable intelligence on misinformation prevalent in social media. Specifically, it uses language processing and machine learning tools to identify subtopics of discourse and discern non/misleading posts; presents statistical reports for policy-makers to understand the big picture of prevalent misinformation in a timely manner; and recommends rebuttal messages for specific pieces of misinformation, identified from within the corpus of data - providing means to intervene and counter misinformation promptly. The Misinformation Concierge proof-of-concept using a curated dataset is accessible at: https://demo-frontend-uy34.onrender.com/