Abstract-In recent years, social media has become ubiquitous and important for social networking and content sharing. And yet, the content that is generated from these websites remains largely untapped. In this paper, we demonstrate how social media content can be used to predict real-world outcomes. In particular, we use the chatter from Twitter.com to forecast box-office revenues for movies. We show that a simple model built from the rate at which tweets are created about particular topics can outperform market-based predictors. We further demonstrate how sentiments extracted from Twitter can be further utilized to improve the forecasting power of social media.
Asur et al. REF demonstrated how Twitter can be used to predict real-world outcomes.
Predicting the Future with Social Media
2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
Computer Science Physics