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"

被引：147

作者：

Jungherr, Andreas ^{[1
]}

Juergens, Pascal ^{[2
]}

Schoen, Harald ^{[1
]}

机构：

[1] Otto Friedrich Univ Bamberg, D-96045 Bamberg, Germany

[2] Johannes Gutenberg Univ Mainz, Mass Commun Dept, Mayence, Germany

来源：

SOCIAL SCIENCE COMPUTER REVIEW | 2012年 / 30卷 / 02期

关键词：

computational social science; elections; predictions; social media; Twitter;

D O I：

10.1177/0894439311404119

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：229 / 234

页数：6

共 15 条

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