SAĞLIK ÇALIŞANLARINA YÖNELİK ŞİDDETİN MEDYAYA YANSIMALARININ METİN MADENCİLİĞİ YÖNTEMİYLE ANALİZİ

Abstract

Günümüzün önemli iletişim kanallarından biri olan haberler, bireyleri bilgilendirebilmekte ve manipüle edebilmektedir. Türkiye'de sağlık sisteminde karşılaşılan önemli sorunlardan biri olan sağlıkta şiddetin toplumdaki yansımalarını ortaya koymak amacıyla bu çalışma kapsamında konuyla ilgili yapılan haberler detaylı bir şekilde incelenmiştir. Araştırmanın kapsamını Türkiye'de en yüksek tirajlı ilk beş gazeteye (Hürriyet, Sabah, Sözcü, Milliyet ve Posta) ait 946 haber oluşturmaktadır. Verilerin elde edilmesinde web madenciliği kullanılmıştır. Verilerin analizinde metin madenciliği yöntemi kullanılarak kelime bulutları, zaman grafikleri ve trigram oluşturulmuştur. Ayrıca manuel içerik analizi kullanılarak haberler bazı temel başlıklar altında sınıflandırılmıştır. Haber başlıklarında, özetlerinde ve içeriklerinde en sık kullanılan ortak kelimelerin “sağlık”, “şiddet”, “doktor” ve “hastane” olduğu belirlenmiştir. İçerik açısından bakıldığında sağlık hizmetlerinde şiddetin en çok hastane ve acil servislerde yaşandığı, şiddetin en çok hasta yakınları ve hastalardan kaynaklandığı, şiddete en çok maruz kalan grubun hekimler olduğu ve şiddetin genellikle hasta yakınları ile sonuçlandığı haberde vurgulanmıştır. Bu bulguların, politika oluşturma süreçlerinde önceliklendirilecek konuların doğru belirlenmesine katkı sağlaması açısından faydalı olacağı düşünülmektedir.

Keywords

• Sağlıkta Şiddet
• Metin Madenciliği
• Web Madenciliği
• İçerik Analizi
• Haberler

ANALYSIS OF THE REFLECTIONS OF VIOLENCE AGAINST HEALTHCARE WORKERS IN THE MEDIA USING TEXT MINING METHOD

Abstract

One of the important communication channels today, news can inform and manipulate individuals. In order to reveal the public reflections of violence in health care, which is one of the important problems encountered in the health system in Turkey, the news on the subject were examined in detail within this study. The scope of the research consists of 946 news reports from the top five newspapers with the highest circulation (Hürriyet, Sabah, Sözcü, Milliyet and Posta). Web mining was used to obtain the data. In the analysis of the data, word clouds, time graphs and trigram were created using text mining method. In addition, using manual content analysis, the news reports were classified under some basic headings. It was determined that the most frequently used common words in the news headlines, abstracts and contents were "health", "violence", "doctor" and "hospital". When examined in terms of content, it was emphasized in the news that violence in health care occurred mostly in hospitals and emergency departments, violence was committed mostly by patient relatives and patients, the group most exposed to violence was physicians, and violence usually resulted in injury. It is thought that these findings will be beneficial in terms of contributing to the accurate determination of the issues to be prioritized in policy-making processes.

Keywords

• Sağlıkta Şiddet
• Metin Madenciliği
• Web Madenciliği
• İçerik Analizi
• Haberler

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