Discovering Credible Twitter Users in Stock Market Domain

Abstract

Despite extensive research efforts in stock market predictions using social media networks, there still exists a lack of credible sources of information in such media. This study presents a novel approach to measure the credibility of Twitter users in a domain of interest, namely the stock market. This study suggests a correlation between each user's credibility and the extracted features from each follower network: number of followers, number of stock market-related followers, extracted by a $Cashtag-based approach, ratio of stock market-related followers to the total number of followers, and the number of seed user tweets. The results support the initial hypothesis of this study.