Kamu Yönetimi ve Afet İletişimi Bağlamında Koronavirüs Pandemisinin Bilgi Yayılımının Sosyal Ağ Analizi

Abstract

Bu araştırma, Türkiye’de koronavirüs pandemisi döneminde X platformunda gerçekleşen bilgi yayılımını kamu yönetimi ve afet iletişimi bağlamında büyük veri yaklaşımı olan sosyal ağ analizi yöntemiyle incelemiştir. Çalışmada ağ yapısının genel karakteristiği, bilgi yayılımında etkili olan merkez aktörler ve ağın etkileşim yapısı analiz edilerek bilginin sosyal medyada dolaşıma nasıl girdiğine ilişkin içgörüler elde edilmiştir. #koronavirüs konu ağında izole kullanıcılar oldukça fazla ve ağın yoğunluğu oldukça düşük çıkmıştır. Araştırmanın bulguları, koronavirüs pandemisinde bilgi yayılımının belirli kamusal aktörler ve medya kuruluşları etrafında merkezileştiğini göstermiştir. Ayrıca etkileşimler çoğunlukla repost dinamikleri etrafında sağlanmıştır. Yayılan paylaşımlar incelendiğinde kamu otoritelerinin birey ve toplum sağlığına ilişkin aldığı önlemler, kısıtlamalar ve uyarılar ile belirsizlik durumlarının ağda geniş yankı bulduğu saptanmıştır. Çalışma, afet ve kriz dönemlerinde kamu otoriteleri için sosyal medya ortamlarının bilgi akışını yönlendirmesi, gerçek zamanlı bilginin yayılımı için önemli bir alan sağladığını ortaya koymuştur. Bununla birlikte, kamu yönetimi ve afet iletişimi bağlamında koronavirüs pandemesini veri temelli bir yaklaşımla inceleyerek alanyazına katkı sunmuştur.

Keywords

• afet iletişimi
• kamu yönetimi
• koronavirüs
• sosyal ağ analizi
• sosyal medya

A Social Network Analysis of Information Dissemination During the Coronavirus Pandemic in the Context of Public Administration and Disaster Communication

Abstract

This study examined the dissemination of information on the X platform during the COVID-19 pandemic in Turkey within the context of public administration and disaster communication, using social network analysis—a big data approach. By analyzing the general characteristics of the network structure, the central actors influencing information dissemination, and the network’s interaction structure, the study gained insights into how information circulates on social media. #In the coronavirus topic network, there were a significant number of isolated users, and the network density was found to be quite low. The findings of the research indicate that information dissemination during the coronavirus pandemic was centralized around specific public actors and media organizations. Furthermore, interactions were primarily facilitated through repost dynamics. An analysis of shared posts revealed that measures, restrictions, and warnings issued by public authorities regarding individual and public health, as well as situations of uncertainty, resonated widely within the network. The study has demonstrated that social media platforms serve as a crucial arena for public authorities to direct the flow of information and facilitate the dissemination of real-time information during disaster and crisis periods. Furthermore, by examining the COVID-19 pandemic through a data-driven approach within the context of public administration and disaster communication, the study has contributed to the existing literature.

Keywords

• disaster communication
• public administration
• coronavirus
• social network analysis
• social media

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