Kovid-19 Hakkında Komplo Teorisi İçeren Dijital İçeriklerin Biçimsel Özellikleri ve Yayılım Düzeyleri Arasındaki İlişkiye Yönelik Bir Analiz

Öz

Kovid-19 aşıları hakkında komplo teorilerinin sosyal ağlarda dolaşıma girdiği bilinmektedir. Bu çalışmada kovid-19 bağlamında aşı karşıtı komplo teorilerini içeren tweetler analiz edilmiş ve tweetlerin biçimsel özellikleri ile yayılım düzeyleri arasındaki ilişki sorgulanmıştır. #SalgınYalanAşıOlmuyorum hashtaginden toplanan 1113 tweetin biçimsel özellikleri nicel içerik analizi ile çözümlenmiş ve hipotezleri test etmek üzere Ki-kare testi uygulanmıştır. Yüksek karakter sayısı kullanım düzeyi olan tweetlerin yüksek düzeyde yayılım gösteren tweetler arasındaki payının yüksek olduğu bulunmuştur. Ayrıca bulgular düşük hashtag kullanım düzeyi ve düşük kişi etiketi kullanım düzeyine sahip tweetlerin yüksek düzeyde yayılım gösteren tweetler arasındaki payının yüksek olduğuna işaret etmektedir. Aşı karşıtı tweetlerdeki bu biçimsel özellikleri anlamak aşı kabulünü artırabilecek nitelikli bilgilerin Tweetosphere’de çoğaltılabilmesi ve bu nitelikli içeriğin etkisinin artırılabilmesi için pratiğe yönelik bir önem taşımaktadır. Diğer yandan, içeriğin biçimsel boyutunun yayılımla ilişkisine ışık tutarak gelecek araştırmalarda göz önünde bulundurulabilecek yeni değişkenler sunmaktadır. Bu durum, aşı karşıtlığı ve komplo teorileri bağlamındaki araştırmaların derinleşebilmesi ve yeni çözüm önerileri sunabilmesi için bir potansiyel sunmaktadır.

Anahtar Kelimeler

• Yeni medya
• Sosyal Medya
• COVID-19
• İnfodemi
• Komplo Teorileri

An Analysis on the Relationship Between Formal Characteristics and Diffusion Levels of Digital Content Containing Conspiracy Theories About COVID-19

Abstract

It is known that conspiracy theories about COVID-19 vaccines are circulating on social networks. In this study, tweets containing anti-vaccine conspiracy theories in the context of COVID-19 were analyzed and the relationship between formal characteristics of tweets and their diffusion levels was questioned. Formal features of 1113 tweets collected from the hashtag #SalgınYalanAşıOlmuyorum (#PandemicIsLieIDontGetVaccinated) were analyzed via quantitative content analysis and the Chi-square test was applied to test the hypotheses. It was found that the share of tweets with high character count usage level among tweets with high diffusion level is high. In addition, the share of tweets with low hashtag usage level and low person tag usage level among tweets with high diffusion level is high. Understanding the formal features of anti-vaccine tweets is of practical importance for producing high quality information that can increase vaccine acceptance in Tweetosphere and to increase the impact of this high quality content. On the other hand, it sheds light on the relationship between the formal dimension of content and diffusion, and offers new variables that can be considered in future research. This presents a potential for research in the context of anti-vaccine and conspiracy theories to deepen and offer new solutions.

Keywords

• New Media
• Social Media
• Conspiracy Theories
• COVID-19
• Infodemic

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