%0 Generic %1 asur2010predicting %A Asur, Sitaram %A Huberman, Bernardo A. %D 2010 %K final sysrelevantforuwws13web20 themawhatsInAName %T Predicting the Future with Social Media %U http://arxiv.org/abs/1003.5699 %X In recent years, social media has become ubiquitous and important for socialnetworking and content sharing. And yet, the content that is generated fromthese websites remains largely untapped. In this paper, we demonstrate howsocial 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 createdabout particular topics can outperform market-based predictors. We furtherdemonstrate how sentiments extracted from Twitter can be further utilized toimprove the forecasting power of social media.

@misc{asur2010predicting, abstract = {In recent years, social media has become ubiquitous and important for socialnetworking and content sharing. And yet, the content that is generated fromthese websites remains largely untapped. In this paper, we demonstrate howsocial 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 createdabout particular topics can outperform market-based predictors. We furtherdemonstrate how sentiments extracted from Twitter can be further utilized toimprove the forecasting power of social media.}, added-at = {2013-12-02T02:13:45.000+0100}, author = {Asur, Sitaram and Huberman, Bernardo A.}, biburl = {https://www.bibsonomy.org/bibtex/29c23c0465529a60d9540ee29e74856f1/susannas22}, description = {Vorhersage von Erfolg von Kinofilmen anhand der Analyse von Nachrichten im Chat vom Twitter. Ziel ist dem eigenen Thema recht ähnlich, Vorgehensweise einen andere. Als Abgrenzungspunkt bezüglich der Methode zum Treffen von Vorhersagen in der Arbeit genannt.}, file = {asur2010predicting.pdf:asur2010predicting.pdf:PDF}, groups = {public}, interhash = {538607d6d5da7946a0c5a2114a7c44f5}, intrahash = {9c23c0465529a60d9540ee29e74856f1}, keywords = {final sysrelevantforuwws13web20 themawhatsInAName}, note = {cite arxiv:1003.5699}, timestamp = {2013-12-02T02:37:18.000+0100}, title = {Predicting the Future with Social Media}, url = {http://arxiv.org/abs/1003.5699}, username = {dbenz}, year = 2010 }