The political stance of Ibero-American national teams on social media towards Qatar during the 2022 FIFA World Cup

This article investigates the role of national teams on social media and how they shape international perceptions of Qatar during the 2022 FIFA World Cup. This tournament was an essential element of Qatar's sports diplomacy that faced criticism because of corruption allegations, organisational skills, labour conditions and human rights issues, including the treatment of the LGBTQIA+ community. This study is based on a conceptual content analysis of the Twitter (now called X) and Instagram accounts of the footballers and coaches of the eight Ibero-American national teams participating in the 2022 FIFA World Cup. The aim is to identify how they communicated about the State of Qatar in their social media posts. Accordingly, this article studies the posting frequency, how they address Qatar's image, and their engagement with the aforementioned criticism of the host country. The findings show that from 2173 posts collected, a total of 275 posts mentioned Qatar. Neutral messages were dominant with 268 posts, while there were only seven positive posts. In conclusion, the Ibero-American players and coaches have contributed to the normalisation of the event through sharing content and images of Qatar in a neutral, informative tone.

Authors

Institutions

Publication Details

Journal
International Review for the Sociology of Sport
Published
2024-09-19
DOI
https://doi.org/10.1177/10126902241274059
Citations
1
Primary Topic
Sport and Mega-Event Impacts
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The political stance of Ibero-American national teams on social media towards Qatar during the 2022 FIFA World Cup

Jiří Zákravský, Fernando Gutiérrez-Chico, Carlos Pulleiro Méndez
1 citations
International Review for the Sociology of Sport
Sport and Mega-Event Impacts
1.13
article

The political stance of Ibero-American national teams on social media towards Qatar during the 2022 FIFA World Cup

Jiří Zákravský, Fernando Gutiérrez-Chico, Carlos Pulleiro Méndez
article en
1 citations

Abstract

This article investigates the role of national teams on social media and how they shape international perceptions of Qatar during the 2022 FIFA World Cup. This tournament was an essential element of Qatar's sports diplomacy that faced criticism because of corruption allegations, organisational skills, labour conditions and human rights issues, including the treatment of the LGBTQIA+ community. This study is based on a conceptual content analysis of the Twitter (now called X) and Instagram accounts of the footballers and coaches of the eight Ibero-American national teams participating in the 2022 FIFA World Cup. The aim is to identify how they communicated about the State of Qatar in their social media posts. Accordingly, this article studies the posting frequency, how they address Qatar's image, and their engagement with the aforementioned criticism of the host country. The findings show that from 2173 posts collected, a total of 275 posts mentioned Qatar. Neutral messages were dominant with 268 posts, while there were only seven positive posts. In conclusion, the Ibero-American players and coaches have contributed to the normalisation of the event through sharing content and images of Qatar in a neutral, informative tone.

International Review for the Sociology of SportVol. 60(3)
Tongji University (CN), Universidad de Salamanca (ES), University of West Bohemia in Pilsen (CZ)
Openalex Percentile: Top 17%
Sport and Mega-Event Impacts
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.