Scalable News Slant Measurement Using Twitter

Authors

  • Huyen Le The University of Iowa
  • Zubair Shafiq The University of Iowa
  • Padmini Srinivasan The University of Iowa

Abstract

Prior research has reported evidence of polarization in the consumption and distribution of political news in online social media. Methods to effectively measure slant of news articles at a large scale are lacking in prior literature. To fill this gap, we propose a method to measure slant of individual news articles by observing their sharing patterns on Twitter. Our method monitors tweets about a news article and a set of landmark Democrat and Republican accounts on Twitter to estimate its slant. Our results show that the slant of news articles estimated by our method matches the slant estimated by crowd sourced workers.

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Published

2017-05-03

How to Cite

Le, H., Shafiq, Z., & Srinivasan, P. (2017). Scalable News Slant Measurement Using Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 11(1), 584-587. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14957