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Wed, 1 Jul 2020 12:05:12 +0100
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   * Apologies for cross-posting *

Announcing the *2nd CIKM2020 sponsored Analyticup challenge*

************************************************************************************


***     COVID-19 RETWEET PREDICTION CHALLENGE
<https://data.gesis.org/covid19challenge/>   ***

In conjunction with CIKM 2020 (https://cikm2020.org/) (October
19th-23rd, 2020 - online)

Sponsored by *GESIS – Leibniz Institute for the Social Sciences*, *HUU
- Heinrich Heine University Düsseldorf*, *L3S Research Center* and
*Chongqing University of Technology*.

More details on the task page *here <https://data.gesis.org/covid19challenge/>*.

************************************************************************************

*Task description*

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

The retweet prediction task in the challenge is based on the
TweetsCOV19 dataset  <https://data.gesis.org/tweetscov19/>--- a
publicly available dataset containing more than 8 million
COVID-19-related tweets, spanning the period October 2019 to April
2020.

The COVID-19 Retweet Prediction Challenge is part of the CIKM2020
AnalytiCup, and the winners will be invited to present their solutions
during the *online* AnalytiCup Workshop in October 2020.

*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*

Non-cash prizes worth 2.500€ EUR provided by L3S Research Center

Are you competitive enough to participate? Check it out here!
<https://data.gesis.org/covid19challenge>

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*

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