Leveraging Weak Learners for Early-stage Rumor Debunking on Twitter

An approach that leverages Convolutional Neural Networks to learn the credibility of individual tweets and aggregates the predictions to obtain the overall event credibility, which is then combined with a time series based rumor classification model for improved early-stage rumor detection performance.