Authors
Andreas Jungherr, Pascal Jürgens, Harald Schoen
Publication date
2012/5
Journal
Social science computer review
Volume
30
Issue
2
Pages
229-234
Publisher
Sage Publications
Description
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.
Total citations
20112012201320142015201620172018201920202021202220232024321303957485141332322212213