6533b82efe1ef96bd1293066
RESEARCH PRODUCT
Why the Pirate Party Won the German Election of 2009 or The Trouble With Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections With Twitter: What 140 Characters Reveal About Political Sentiment”
Pascal JürgensHarald SchoenAndreas Jungherrsubject
General Social SciencesAdvertisingLibrary and Information SciencesSanderFrequencylanguage.human_languageComputer Science ApplicationsGermanPoliticsPolitical sciencelanguageComputational sociologySocial mediaLawdescription
In their article “Predicting Elections with Twitter: What 140 Characters Reveal About Political Sentiment,” the authors Andranik Tumasjan, Timm O. Sprenger, Philipp G. Sandner, and Isabell M. Welpe (TSSW) the authors claim that it would be possible to predict election outcomes in Germany by examining the relative frequency of the mentions of political parties in Twitter messages posted during the election campaign. In this response we show that the results of TSSW are contingent on arbitrary choices of the authors. We demonstrate that as of yet the relative frequency of mentions of German political parties in Twitter message allows no prediction of election results.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-04-25 | Social Science Computer Review |