THE EXCITEMENT OF FOOTBALL KICKS OFF IN QATAR: A SAMPLE OF TWITTER DATA ANALYSIS

Abstract

This research was created by making use of the opinions of Twitter users about the Qatar 2022 World Cup, which has a great impact on the world. The countries and the football players who participated in the World Cup, the country where the organization was held, and the general assessments constitute the whole of the research. This case study, which reflects a social reality such as the World Cup, was examined by an inductive method. In order to achieve a more successful output in terms of more transparent and professional progress of the process, the MAXQDA program was preferred. This research was structured in two sections. Content analysis of 5,988 tweets posted in Turkish was conducted in the first section. According to the data obtained from the tweets posted by the viewers under the theme "Qatar 2022 World Cup Overview", the first section consists of 4 categories, namely "Organization, Football Players, Countries, and Assessment", 36 codes, and 11 sub-codes. Sentiment analysis of 79,574 tweets was conducted in the second section. Users tweeted Positive (15,973), Slightly positive (30,533), Negative (3,228), Slightly negative (6,529), and Neutral (23,311) emotional tweets. Codes, categories, and themes were created using the "creative coding" option included in the MAXQDA program. The completion of the codes created in the consensus, took place in a total of four months. The analysis was visualized, and the code frequencies were added using the "MAXMaps Hierarchical Code-Subcode Model" option on the "visual tools" tab of the program.

Keywords

• World cup
• Twitter
• Football
• Qualitative data analysis

FUTBOLUN NABZI QATAR’DA ATIYOR: TWİTTER VERİ ANALİZİ ÖRNEĞİ

Abstract

Bu araştırma dünyada büyük yankı uyandıran Qatar 2022 Dünya Kupası hakkında Twitter kullanıcılarının görüşlerinden faydalanılarak oluşturulmuştur. Dünya Kupası’na katılan ülkeler ve futbolcular, organizasyonun düzenlendiği ülke ile genel değerlendirmeler araştırmanın bütününü oluşturmaktadır. Dünya Kupası gibi sosyal ve toplumsal gerçekliği yansıtan bu durum çalışması tümevarımsal bir yöntemle irdelenmiştir. Sürecin daha şeffaf ve profesyonel ilerlemesi bakımından daha başarılı bir çıktı elde etmek amacıyla MAXQDA programı tercih edilmiştir. Araştırma iki bölümde kurgulanmıştır. İlk bölümünde Türkçe atılan 5988 tweetin içerik analizi yapılmıştır. “Qatar 2022 World Cup Overview” teması altında izleyicilerin attıkları tweetlerden elde edilen verilere göre “Organization, Football Players, Countries and Assessment “olmak üzere 4 kategoriden, 36 kod ve 11 alt koddan oluşmuştur. İkinci bölümde ise 79.574 tweetin duygu analizi yapılmıştır. Twitter kullanıcıları Positive (15.973), Slightly positive (30.533), Negative (3228), Slightly negative (6529) ve Neutral (23.311) duygu içerikli tweetler atmışlardır. MAXQDA programında yer alan “yaratıcı kodlama” seçeneği kullanılarak kodlar, kategoriler ve tema oluşturulmuştur. Ortak görüşte oluşturulan kodların tamamlanması toplamda dört aylık bir süreçte gerçekleşmiştir. Programın “görsel araçlar” sekmesinde yer alan “MAXMaps” seçeneği “Hiyerarşik Kod-Alt kod Modeli” kullanılarak analiz görselleştirilmiştir ve kod frekansları eklenmiştir.

Keywords

• Dünya kupası
• Twitter
• Futbol
• Nitel veri analizi

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