Affiliation:
1. University of Bamberg, Bamberg, Germany
2. University of Mainz, Mayence, Germany
Abstract
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.
Subject
Law,Library and Information Sciences,Computer Science Applications,General Social Sciences
Cited by
197 articles.
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