Understanding the Predictive Power of Social Media This뀀Ƞis뀀Ƞa뀀Ƞpreprint뀀Ƞversion뀀Ƞof뀀Ƞthe뀀Ƞfollowing뀀Ƞarticle:뀀Ƞ
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Efthimios Tambouris | Evangelos Kalampokis | Konstantinos Tarabanis | K. Tarabanis | E. Tambouris | E. Kalampokis
[1] E. Brynjolfsson,et al. The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales , 2013, ICIS 2013.
[2] Fabio Franch. (Wisdom of the Crowds)2: 2010 UK Election Prediction with Social Media , 2013 .
[3] Nello Cristianini,et al. Nowcasting Events from the Social Web with Statistical Learning , 2012, TIST.
[4] Connie St Louis,et al. Can Twitter predict disease outbreaks? , 2012, BMJ : British Medical Journal.
[5] Isabell M. Welpe,et al. Where There is a Sea There are Pirates: Response to Jungherr, Jürgens, and Schoen , 2012 .
[6] Kam-Fai Wong,et al. Quantising Opinions for Political Tweets Analysis , 2012, LREC.
[7] Johan Bos,et al. Predicting the 2011 Dutch Senate Election Results with Twitter , 2012 .
[8] Xiaofeng Wang,et al. Automatic Crime Prediction Using Events Extracted from Twitter Posts , 2012, SBP.
[9] M. de Rijke,et al. Predicting IMDB Movie Ratings Using Social Media , 2012, ECIR.
[10] Michelle R. Guy,et al. Twitter earthquake detection: earthquake monitoring in a social world , 2012 .
[11] Ee-Peng Lim,et al. Tweets and Votes: A Study of the 2011 Singapore General Election , 2012, 2012 45th Hawaii International Conference on System Sciences.
[12] Andrew B. Whinston,et al. Designing a social-broadcasting-based business intelligence system , 2011, TMIS.
[13] Guido Caldarelli,et al. Web Search Queries Can Predict Stock Market Volumes , 2011, PloS one.
[14] J. Brownstein,et al. Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. , 2012, The American journal of tropical medicine and hygiene.
[15] P. Gloor,et al. Predicting Asset Value through Twitter Buzz , 2012 .
[16] Giselle C. Guzman,et al. Internet Search Behavior as an Economic Forecasting Tool: The Case of Inflation Expectations , 2011 .
[17] Daniel Gayo-Avello. Don't turn social media into another 'Literary Digest' poll , 2011, Commun. ACM.
[18] Panagiotis Takis Metaxas,et al. How (Not) to Predict Elections , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.
[19] D. Cummings,et al. Prediction of Dengue Incidence Using Search Query Surveillance , 2011, PLoS neglected tropical diseases.
[20] Lada A. Adamic,et al. The Party Is Over Here: Structure and Content in the 2010 Election , 2011, ICWSM.
[21] Alberto Maria Segre,et al. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic , 2011, PloS one.
[22] Benyuan Liu,et al. Predicting Flu Trends using Twitter data , 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[23] Johan Bollen,et al. Twitter mood predicts the stock market , 2010, J. Comput. Sci..
[24] Galit Shmueli,et al. Predictive Analytics in Information Systems Research , 2010, MIS Q..
[25] Panagiotis G. Ipeirotis,et al. Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics , 2010, IEEE Transactions on Knowledge and Data Engineering.
[26] P. Gloor,et al. Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear” , 2011 .
[27] Olivia Sheng,et al. Investigating Predictive Power of Stock Micro Blog Sentiment in Forecasting Future Stock Price Directional Movement , 2011, ICIS.
[28] Eni Mustafaraj,et al. On the predictability of the U.S. elections through search volume activity , 2011 .
[29] Gregoris Mentzas,et al. Using Social Media to Predict Future Events with Agent-Based Markets , 2010, IEEE Intelligent Systems.
[30] Jiebo Luo,et al. The wisdom of social multimedia: using flickr for prediction and forecast , 2010, ACM Multimedia.
[31] Torsten Schmidt,et al. A monthly consumption indicator for Germany based on Internet search query data , 2010 .
[32] David M. Pennock,et al. Predicting consumer behavior with Web search , 2010, Proceedings of the National Academy of Sciences.
[33] Aron Culotta,et al. Towards detecting influenza epidemics by analyzing Twitter messages , 2010, SOMA '10.
[34] Tushar Pandey,et al. Identification of critical eWOM dimensions for music albums , 2010, 2010 IEEE International Conference on Management of Innovation & Technology.
[35] Galit Shmueli,et al. To Explain or To Predict? , 2010 .
[36] Eric Gilbert,et al. Widespread Worry and the Stock Market , 2010, ICWSM.
[37] Isabell M. Welpe,et al. Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment , 2010, ICWSM.
[38] Brendan T. O'Connor,et al. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series , 2010, ICWSM.
[39] Yutaka Matsuo,et al. Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.
[40] Bernardo A. Huberman,et al. Predicting the Future with Social Media , 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.
[41] Maarten de Rijke,et al. News Comments: Exploring, Modeling, and Online Prediction , 2010, ECIR.
[42] Jinhong Xie,et al. Online Social Interactions: A Natural Experiment on Word of Mouth versus Observational Learning , 2010 .
[43] Armin R. Mikler,et al. Text and Structural Data Mining of Influenza Mentions in Web and Social Media , 2010, International journal of environmental research and public health.
[44] Torsten Schmidt,et al. Forecasting Private Consumption: Survey-Based Indicators vs. Google Trends , 2009 .
[45] Zhi Da,et al. In Search of Attention , 2009 .
[46] J. Brownstein,et al. Early detection of disease outbreaks using the Internet , 2009, Canadian Medical Association Journal.
[47] Eric Gilbert,et al. Predicting tie strength with social media , 2009, CHI.
[48] H. Varian,et al. Predicting the Present with Google Trends , 2009 .
[49] B. Gu,et al. The impact of online user reviews on hotel room sales , 2009 .
[50] Jeremy Ginsberg,et al. Detecting influenza epidemics using search engine query data , 2009, Nature.
[51] A. Hulth,et al. Web Queries as a Source for Syndromic Surveillance , 2009, PloS one.
[52] M. Osborne,et al. Using Prediction Markets and Twitter to Predict a Swine Flu Pandemic , 2009 .
[53] David M. Pennock,et al. Using internet searches for influenza surveillance. , 2008, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[54] Bin Gu,et al. Do online reviews matter? - An empirical investigation of panel data , 2008, Decis. Support Syst..
[55] Anindya Ghose,et al. Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets , 2008, Inf. Syst. Res..
[56] Munmun De Choudhury,et al. Can blog communication dynamics be correlated with stock market activity? , 2008, Hypertext.
[57] Peter A. Gloor,et al. Predicting Movie Success and Academy Awards through Sentiment and Social Network Analysis , 2008, ECIS.
[58] G. Kitagawa,et al. Information Criteria and Statistical Modeling , 2007 .
[59] Xiaohui Yu,et al. ARSA: a sentiment-aware model for predicting sales performance using blogs , 2007, SIGIR.
[60] Gilad Mishne,et al. Predicting Movie Sales from Blogger Sentiment , 2006, AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs.
[61] John H. Gerdes,et al. Using web-based search data to predict macroeconomic statistics , 2005, CACM.
[62] Ramanathan V. Guha,et al. The predictive power of online chatter , 2005, KDD '05.
[63] Christopher M. Snyder,et al. The Influence of Expert Reviews on Consumer Demand for Experience Goods: A Case Study of Movie Critics , 2005 .
[64] Richard T. Watson,et al. Analyzing the Past to Prepare for the Future: Writing a Literature Review , 2002, MIS Q..
[65] Werner Antweiler,et al. Is All that Talk Just Noise? The Information Content of Internet Stock Message Boards , 2001 .
[66] Leo Breiman,et al. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) , 2001, Statistical Science.
[67] Diane M. Strong,et al. Data quality in context , 1997, CACM.