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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.
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Andreas Jungherr
Oxford University Press (United Kingdom)
Pascal Jürgens
University of Applied Sciences Mainz
Harald Schoen
University of Mannheim
Social Science Computer Review
Johannes Gutenberg University Mainz
University of Bamberg
University of Applied Sciences Mainz
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Jungherr et al. (Mon,) studied this question.
synapsesocial.com/papers/6a13d1b43f9a9dbf1d39e96a — DOI: https://doi.org/10.1177/0894439311404119