令人兴奋的足球在卡塔尔开球:一个twitter数据分析样本

Pelin AVCI, Gökmen KILINÇARSLAN
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引用次数: 0

摘要

这项研究是利用推特用户对2022年卡塔尔世界杯的意见,这对世界有很大的影响。参加世界杯的国家和足球运动员,组织举办的国家,以及总体评估构成了整个研究。该案例研究反映了世界杯等社会现实,并采用归纳法进行了研究。为了在更透明和专业的过程中实现更成功的输出,MAXQDA方案是首选。本研究分为两个部分。第一部分对5988条土耳其语推文进行了内容分析。根据观众在“卡塔尔2022年世界杯概览”主题下发布的推文数据,第一部分包括“组织、球员、国家和评估”4个类别,36个代码,11个子代码。第二部分对79574条推文进行情感分析。用户发布了积极的(15973条)、稍微积极的(30533条)、消极的(3228条)、稍微消极的(6529条)、中性的(23311条)情绪推文。代码、类别和主题是使用MAXQDA程序中包含的“创造性编码”选项创建的。在协商一致意见中创建的代码总共用了四个月的时间完成。分析是可视化的,使用程序“可视化工具”选项卡上的“MAXMaps分层代码-子代码模型”选项添加代码频率。
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THE EXCITEMENT OF FOOTBALL KICKS OFF IN QATAR: A SAMPLE OF TWITTER DATA ANALYSIS
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.
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