#Élysée2017fr: The 2017 French Presidential Campaign on Twitter

Authors

  • Ophélie Fraisier CEA Tech Occitanie, IRIT, Université de Toulouse, CNRS
  • Guillaume Cabanac IRIT, Université de Toulouse, CNRS
  • Yoann Pitarch IRIT, Université de Toulouse, CNRS
  • Romaric Besançon CEA LIST, Nano-Innov
  • Mohand Boughanem IRIT, Université de Toulouse, CNRS

DOI:

https://doi.org/10.1609/icwsm.v12i1.14984

Keywords:

Twitter, dataset, stance, political expression, French presidential election

Abstract

The French presidential election was one of the main political event of 2017, and triggered a lot of activity on Twitter. The campaign was highly unpredictable and led to the rise of 5 main parties instead of the historical bipartite (left-right) confrontation, ranging from far-left to far-right. This dataset paper proposes #Élysée2017fr, a large and complex dataset of 22853 Twitter profiles active during the campaign (from November 2016 to May 2017), and their corresponding tweets and retweets, plus the retweet and mention networks related to these profiles. The profiles were manually annotated with their political affiliations (up to 2 political parties per profile), their nature (individual or collective), and the sex of the profile's owner when available. This is one of the rare datasets that considers a non-binary stance classification and, to our knowledge, the first one with a large number of profiles, and the first one proposing overlapping political communities. This dataset can be used as-is to study the campaign mechanisms on Twitter, or used to test stance detection models or network analysis tools. Mining these data might reveal new insights on current issues like echo chambers or fake news diffusion.

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Published

2018-06-15

How to Cite

Fraisier, O., Cabanac, G., Pitarch, Y., Besançon, R., & Boughanem, M. (2018). #Élysée2017fr: The 2017 French Presidential Campaign on Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 12(1). https://doi.org/10.1609/icwsm.v12i1.14984