“Gördüğün Her Şeye İnanma”: Derin Sahte Çalışmaları Üzerine Bir Doküman Analizi

“Do Not Believe Everything You See”: A Document Analysis on Deep Fake Studies

Özet

Çalışmada yeni iletişim teknolojilerinin beraberinde getirdiği olumlu ve olumsuz yönler, “derin sahte” üzerine yapılan çalışmalardan yola çıkılarak değerlendirilmiştir. İncelemede Walter Benjamin ve Jean Baudrillard’ın teknoloji ve toplum ilişkisi hakkındaki görüşlerinden faydalanılmıştır. Gerçekliğin kökeniyle bağını koparttığı bir dönemde, yapay zekâ temelli bir uygulama olan “derin sahte” yalan haber ve yanıltıcı içerik üretimine olanak sağlaması ve eğlence olarak politize olmayı kolaylaştırması bakımından tartışılmıştır. Bu kapsamda “derin sahte” uygulamasını konu edinen literatür taranmış, derin sahte kavramı üzerine yapılan çalışmalar üzerinden doküman analizi yapılmıştır. Makaleler içeriklerine ve odaklandıkları derin sahte konularına göre tasniflenmiştir. İletişim alanını doğrudan ilgilendiren 9 makale bu

Abstract

In the study, the positive and negative aspects of new communication technologies were evaluated based on the studies on "deep fake". In the study, the views of Walter Benjamin and Jean Baudrillard on the relationship between technology and society were used. It has been discussed in terms of enabling the production of “deep fake” fake news and misleading content, which is an artificial intelligence-based application, at a time when reality is disconnected from its origin, and facilitates being politicized as entertainment. In this context, the literature on the "deep fake" application was scanned, and document analysis was carried out on the studies on the concept of deep fake. Articles are classified according to their content and the deep fakes they focus on. 9 articles directly related to the field of communication were included in the sample of this research. A closer look at these 9 articles reveals that more than half of the available studies are conceptual studies, and most of them focus on the risks of deep fake content. As a result of the analysis, it has been seen that there are few studies on the concept of deep fake and its application in the field of communication studies. It has been determined that the majority of the studies focus on the risks of the application. While the deep fake application is constantly moving towards perfection, especially with machine learning, it has been expressed in the studies that the technology in the detection of deep fakes does not progress at the same speed. As the risk of deep-fake content to influence political campaigns and public opinion increases, the field of communication studies should focus on investigating the effects of politically motivated deep-fake on citizens. It should be noted that there is an important deficiency in this area.