The goal of this challenge is to predict the popularity of COVID-19-related tweets in terms of the number of their retweets. Retweeting—re-posting original content without any change—is a popular function in Twitter and can be seen as amplifying the spread of original messages. This makes retweet prediction a crucial task when studying online information diffusion processes during a time of crisis such as the current COVID-19 pandemic.

Timeline

  • 01.07.20 Contest and Phase 1 Begin (Validation Leaderboard opens)
  • 15.08.20 Phase 2 Begin (Testing Leaderboard opens)
  • 24.08.20 Last Shot & Contest End
  • 01.09.20 Semi-finalists Announcement
  • 01.10.20 Report & Code Due
  • 20.10.20 Winner Announcement

Prizes

Total prize: non-cash prizes worth 2.500€ EUR provided by L3S Research Center

Are you competitive enough to participate? Check it out here!

Sponsors:

Organizers:
Dimitar Dimitrov, GESIS – Leibniz Institute for the Social Sciences, Germany
Xiaofei Zhu, Chongqing University of Technology, China

AnalytiCup Chairs:
Dimitar Dimitrov, GESIS – Leibniz Institute for the Social Sciences, Germany
Xiaofei Zhu, Chongqing University of Technology, China