Students, professionals, and researchers from the University of Sydney are invited to participate and help understand vaccine related misinformation.
This is a competition to contribute to research by Associate Professor Adam Dunn, from the Faculty of Medicine and Health, on vaccine sentiment from Twitter posts.
The spread of misinformation can undermine confidence in vaccination. The capacity for social media to quickly and effectively spread information or misinformation is a pressing question for governments and global agencies. Tools such as deep learning, machine learning, sentiment analysis and text mining could provide solutions to help monitor the emergence of vaccine misinformation that underpin mitigation strategies and limit damage to vaccine confidence.
You are invited to assist in designing a classifier to find vaccine sentiment in Twitter posts.
A University of Sydney wide Kaggle competition will be set up to crowd-source innovative approaches to understand this problem. Details to be released soon.
Complete this form to join the challenge and be notified about updates.