Measuring, Understanding, and Classifying News Media Sympathy on Twitter after Crisis Events

@article{Ali2018MeasuringUA,
  title={Measuring, Understanding, and Classifying News Media Sympathy on Twitter after Crisis Events},
  author={Abdallah El Ali and Tim Claudius Stratmann and Souneil Park and Johannes Sch{\"o}ning and Wilko Heuten and Susanne CJ Boll},
  journal={Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems},
  year={2018}
}
This paper investigates bias in coverage between Western and Arab media on Twitter after the November 2015 Beirut and Paris terror attacks. Using two Twitter datasets covering each attack, we investigate how Western and Arab media differed in coverage bias, sympathy bias, and resulting information propagation. We crowdsourced sympathy and sentiment labels for 2,390 tweets across four languages (English, Arabic, French, German), built a regression model to characterize sympathy, and thereafter… Expand
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