Twitter-Based BIRGing: Big Data Analysis of English National Team Fans During the 2018 FIFA World Cu...

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Bibliographische Detailangaben
Titel: Twitter-Based BIRGing: Big Data Analysis of English National Team Fans During the 2018 FIFA World Cup;
Beteiligte: Fan, Minghui, Billings, Andrew, Zhu, Xiangyu, Yu, Panfeng
In: Communication & Sport, 8, 2020, 3, S. 317-345
veröffentlicht:
SAGE Publications
Medientyp: Artikel, E-Artikel

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Umfang: 317-345
ISSN: 2167-4795
2167-4809
DOI: 10.1177/2167479519834348
veröffentlicht in: Communication & Sport
Sprache: Englisch
Schlagwörter:
Kollektion: SAGE Publications (CrossRef)
Inhaltsangabe

<jats:p> Sports fans tend to associate themselves with a successful team (BIRGing), while disassociating themselves with unsuccessful teams (CORFing). This premise was applied to social media commentary within England’s matches against Croatia and Colombia during the 2018 Fédération Internationale de Football Association World Cup, uncovering that English fans tended to perform Basking in Reflected Glory (BIRG) when England was leading or victorious and tended to engage in Cutting Off Reflected Failure (CORF) when England was trailing or defeated. In Method 1, team identification, national identification with England, and sentiment were significantly higher when England was leading or victorious than when they were trailing or defeated. In Method 2, machine learning generated trending graphs to detect that English fans BIRGed when they scored against Colombia; they also BIRGed more frequently during the match with Croatia, peaking several times when they scored a goal, saved a goal, or took a free kick. However, even though CORFing (i.e., lower team identification, lower national identification, and lower sentiment) occurred when the opposing team scored, English fans still BIRGed when they were finally defeated by Croatia, likely a function of the stage the game took place (World Cup semifinal), indicating that England had nonetheless succeeded in the World Cup as a whole. </jats:p>