The experience of analyzing the digital track of fans to assess the holding of mass events the example of the 2018 FIFA World Cup
- DOI
- 10.2991/sicni-18.2019.70How to use a DOI?
- Keywords
- digital trace, Twitter, Big data, interdisciplinary research, the 2018 FIFA World Cup.
- Abstract
The authors explore the Russian and international experience of studying the digital footprint in this article. In particular, it analyzed the digital trace of the fans of the World Cup in 2018. The basis of the research was selected messages on the social network Twitter, marked the official hash tags of the event. As a result of the study, it turned out to measure the psycho-emotional state of the fans, to assess the general emotional background, which accompanied the championship, to single out the periods of the most intensive communication. Together with other search dedicated to the 2018 FIFA World Cup, this research will assess the atmosphere in which the FIFA World Cup was held. In the course of the work, the author's methodology for studying the digital trace was created and tested. The method proposed by the authors can be used to assess the social mood of citizens, and it is also applicable to Big data. It was found that the advantage of the presented technique is high speed and large volumes of analyzed data.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lyubov Zabokritskaya AU - Alina Kulminskaia AU - Evgeniy Komotsky PY - 2019/01 DA - 2019/01 TI - The experience of analyzing the digital track of fans to assess the holding of mass events the example of the 2018 FIFA World Cup BT - Proceedings of the 2nd International Scientific conference on New Industrialization: Global, national, regional dimension (SICNI 2018) PB - Atlantis Press SP - 344 EP - 348 SN - 2352-5398 UR - https://doi.org/10.2991/sicni-18.2019.70 DO - 10.2991/sicni-18.2019.70 ID - Zabokritskaya2019/01 ER -