Headlines Matter: Using Headlines to Predict the Popularity of News Articles on Twitter and Facebook

Authors

  • Alicja Piotrkowicz University of Leeds
  • Vania Dimitrova University of Leeds
  • Jahna Otterbacher Open University of Cyprus
  • Katja Markert Universität Heidelberg

Abstract

Social media like Facebook or Twitter have become an entry point to news for many readers. In that scenario, the headline is the most prominent — and often the only visible — part of the news article. We propose a novel task of using only headlines to predict the popularity of news articles. The prediction model is evaluated on headlines from two major broadsheet news outlets — The Guardian and New York Times. We significantly improve over several baselines, noting differences in the model performance between Facebook and Twitter.

Downloads

Published

2017-05-03

How to Cite

Piotrkowicz, A., Dimitrova, V., Otterbacher, J., & Markert, K. (2017). Headlines Matter: Using Headlines to Predict the Popularity of News Articles on Twitter and Facebook. Proceedings of the International AAAI Conference on Web and Social Media, 11(1), 656-659. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14951