Can we vote with our tweet? On the perennial difficulty of election forecasting with social media

[1]  Nicholas Beauchamp,et al.  Predicting and Interpolating State‐Level Polls Using Twitter Textual Data , 2017 .

[2]  David M. Rothschild,et al.  Forecasting elections with non-representative polls , 2015 .

[3]  Pablo Barberá.  Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data , 2015, Political Analysis.

[4]  David E. Broockman,et al.  Do Online Advertisements Increase Political Candidates’ Name Recognition or Favorability? Evidence from Randomized Field Experiments , 2014 .

[5]  Mark Edward Huberty,et al.  Multi-cycle forecasting of congressional elections with social media , 2013, PLEAD '13.

[6]  Sean J. Taylor,et al.  Social Influence Bias: A Randomized Experiment , 2013, Science.

[7]  Justin Grimmer,et al.  Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts , 2013, Political Analysis.

[8]  Huan Liu,et al.  Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose , 2013, ICWSM.

[9]  Brendan T. O'Connor,et al.  Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters , 2013, NAACL.

[10]  S. Stephens-Davidowitz,et al.  The Cost of Racial Animus on a Black Presidential Candidate: Using Google Search Data to Find What Surveys Miss , 2013 .

[11]  J. Bollen,et al.  More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior , 2013, PloS one.

[12]  Declan Butler,et al.  When Google got flu wrong , 2013, Nature.

[13]  Christian Stefansen,et al.  GOOGLE DISEASE TRENDS: AN UPDATE , 2013 .

[14]  Cameron Marlow,et al.  A 61-million-person experiment in social influence and political mobilization , 2012, Nature.

[15]  A. Binns.  DON'T FEED THE TROLLS! , 2012 .

[16]  Lindsay T. Graham,et al.  A Review of Facebook Research in the Social Sciences , 2012, Perspectives on psychological science : a journal of the Association for Psychological Science.

[17]  Daniel Gayo-Avello,et al.  "I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper" - A Balanced Survey on Election Prediction using Twitter Data , 2012, ArXiv.

[18]  Johan Bos,et al.  Predicting the 2011 Dutch Senate Election Results with Twitter , 2012 .

[19]  Courtney Kennedy,et al.  Sampling Cell Phone Only Households: A Comparison of Demographic and Behavioral Characteristics from ABS and Cell Phone Samples , 2012 .

[20]  A. Smeaton,et al.  On Using Twitter to Monitor Political Sentiment and Predict Election Results , 2011 .

[21]  Isabell M. Welpe,et al.  Election Forecasts With Twitter , 2011 .

[22]  Jasjeet S. Sekhon,et al.  Elections and the Regression Discontinuity Design: Lessons from Close U.S. House Races, 1942–2008 , 2011, Political Analysis.

[23]  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.

[24]  Jacob Ratkiewicz,et al.  Political Polarization on Twitter , 2011, ICWSM.

[25]  Panagiotis Takis Metaxas,et al.  Limits of Electoral Predictions Using Twitter , 2011, ICWSM.

[26]  J. Manyika.  Big data: The next frontier for innovation, competition, and productivity , 2011 .

[27]  John Coggin,et al.  The Tea Party and the Remaking of Republican Conservatism , 2011, Perspectives on Politics.

[28]  S. Marsh,et al.  Mail as an Alternative to Random-Digit Dial in a Survey of Young Adults , 2011 .

[29]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[30]  A. Levenshus,et al.  Online Relationship Management in a Presidential Campaign: A Case Study of the Obama Campaign's Management of Its Internet-Integrated Grassroots Effort , 2010 .

[31]  Kevin Wallsten,et al.  “Yes We Can”: How Online Viewership, Blog Discussion, Campaign Statements, and Mainstream Media Coverage Produced a Viral Video Phenomenon , 2010 .

[32]  Brendan T. O'Connor,et al.  From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series , 2010, ICWSM.

[33]  Isabell M. Welpe,et al.  Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment , 2010, ICWSM.

[34]  S. Keeter,et al.  ASSESSING THE CELL PHONE CHALLENGE TO SURVEY RESEARCH IN 2010 , 2010 .

[35]  H. Varian,et al.  Predicting the Present with Google Trends , 2009 .

[36]  Jeremy Ginsberg,et al.  Detecting influenza epidemics using search engine query data , 2009, Nature.

[37]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[38]  Dietram A. Scheufele,et al.  Framing, Agenda Setting, and Priming: The Evolution of Three Media Effects Models , 2007 .

[39]  Chad Raphael,et al.  Interpersonal divide: The search for community in a technological age ‐ by Michael Bugeja , 2006 .

[40]  Michael A. Dimock,et al.  Gauging the Impact of Growing Nonresponse on Estimates from a National RDD Telephone Survey , 2006 .

[41]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[42]  D. Scheufele.  Agenda-Setting, Priming, and Framing Revisited: Another Look at Cognitive Effects of Political Communication , 2000 .

[43]  Lawrence Lessig,et al.  Code and Other Laws of Cyberspace , 1999 .

[44]  K. T. Poole,et al.  A Spatial Model for Legislative Roll Call Analysis , 1985 .