The Artificial Intelligence Dimension of Digital Manipulation Deepfake Videos: The Case of the Ukrainian-Russian People

Başak Akmeşe

Article Details

The Artificial Intelligence Dimension of Digital Manipulation Deepfake Videos: The Case of the Ukrainian-Russian People

Authors:

Başak Akmeşe

Publisher:

Ataturk University

Main Topics:

Communication and Media Studies (Other)

Journal:

Contemporary Issues of Communication Vol.2 Issue 2, pp.76-85

Document Type:

Article

Publication Date:

9/2023

Document Language:

English

Document ID (Org No.):

2001299817

pISSN:

2980-1524

Keywords:

Abstract:

 Rapidly developing technologies make it possible to blur the boundary between real and unreal on the internet, especially in social media channels. This situation has led to the construction of the concept of deepfake, which is defined as deep fake by the addition of artificial intelligence technology to manipulative actions that are described as deception. In Deepfake videos, even if there is a small change in the image and sound, it interferes with reality and alters it. In particular, the use of deepfake videos by everyone through visual and auditory manipulations can cause information pollution. Therefore, in this research, it is aimed to determine the extent to which artificial intelligence-oriented deepfake videos can affect the Ukrainian and Russian people with videos manipulated in the war environment. It was aimed to measure whether the citizens of both countries had information about deepfake videos and how much they were affected by these videos. In this context, in this research, the content analysis method was used to explain the attitudes of the citizens in question to the videos with a descriptive approach. As a result of the research, it was determined that both countries had information about deepfake videos and that citizens acted prudently in the face of disinformation that could change the course of the war during the war process. In this research, it was observed that the fake images and contents published did not cause indignation in the citizens of both countries due to the close follow-up of the technology and having literacy in this regard.

 Rapidly developing technologies make it possible to blur the boundary between real and unreal on the internet, especially in social media channels. This situation has led to the construction of the concept of deepfake, which is defined as deep fake by the addition of artificial intelligence technology to manipulative actions that are described as deception. In Deepfake videos, even if there is a small change in the image and sound, it interferes with reality and alters it. In particular, the use of deepfake videos by everyone through visual and auditory manipulations can cause information pollution. Therefore, in this research, it is aimed to determine the extent to which artificial intelligence-oriented deepfake videos can affect the Ukrainian and Russian people with videos manipulated in the war environment. It was aimed to measure whether the citizens of both countries had information about deepfake videos and how much they were affected by these videos. In this context, in this research, the content analysis method was used to explain the attitudes of the citizens in question to the videos with a descriptive approach. As a result of the research, it was determined that both countries had information about deepfake videos and that citizens acted prudently in the face of disinformation that could change the course of the war during the war process. In this research, it was observed that the fake images and contents published did not cause indignation in the citizens of both countries due to the close follow-up of the technology and having literacy in this regard.

 Rapidly developing technologies make it possible to blur the boundary between real and unreal on the internet, especially in social media channels. This situation has led to the construction of the concept of deepfake, which is defined as deep fake by the addition of artificial intelligence technology to manipulative actions that are described as deception. In Deepfake videos, even if there is a small change in the image and sound, it interferes with reality and alters it. In particular, the use of deepfake videos by everyone through visual and auditory manipulations can cause information pollution. Therefore, in this research, it is aimed to determine the extent to which artificial intelligence-oriented deepfake videos can affect the Ukrainian and Russian people with videos manipulated in the war environment. It was aimed to measure whether the citizens of both countries had information about deepfake videos and how much they were affected by these videos. In this context, in this research, the content analysis method was used to explain the attitudes of the citizens in question to the videos with a descriptive approach. As a result of the research, it was determined that both countries had information about deepfake videos and that citizens acted prudently in the face of disinformation that could change the course of the war during the war process. In this research, it was observed that the fake images and contents published did not cause indignation in the citizens of both countries due to the close follow-up of the technology and having literacy in this regard.

 Hızla gelişen teknolojiler, internette özelliklede sosyal medya mecralarında, gerçek ile gerçek olmayan arasındaki sınırın belirsizleştirilmesini mümkün hale getirmektedir. Bu durum aldatmaca olarak nitelendirilen manipülatif eylemlere yapay zekâ teknolojisinin eklemlenmesiyle derin sahte olarak tanımlanan deepfake kavramının inşa edilmesini sağlamıştır. Deepfake videolarında görüntüde ve seste küçük bir değişiklik olsa bile gerçekliğe müdahaledir ve onu başkalaştırmaktadır. Özellikle de görsel ve işitsel manipülasyonlarla deepfake videoların herkes tarafından kullanılması bilgi kirliliğine neden olabilmektedir. Bu nedenle, bu araştırmada yapay zekâ yönelimli deepfake videoların savaş ortamında manipüle edilen videolarla Ukrayna ve Rusya halkını ne oranda etkileyebileceği tespit etmek amaçlanmıştır. Her iki ülke vatandaşlarının deepfake videolarına ilişkin bilgilerinin var olup olmadığı ve bu videolardan ne kadar etkilendikleri ölçülmek istenmiştir. Bu bağlamda bu araştırmada içerik analizi yöntemi kullanılarak söz konusu vatandaşların videolara olan tutumları betimsel bir yaklaşımla anlatılmaya çalışılmıştır. Araştırmanın sonucunda her iki ülkenin deepfake videolarına ilişkin bilgilerinin olduğu ve savaş süreci boyunca savaşın seyrini değiştirebilecek dezenformasyonlar karşısında vatandaşların sağduyulu davrandıkları tespit edilmiştir. Bu araştırmada yayınlanan sahte görüntü ve içerikler, teknolojinin yakından takip edilmesi ve bu konuda okuryazarlığa sahip olunması nedeniyle her iki ülke vatandaşlarında infial yaratmadığı gözlemlenmiştir.

Article Details

The Artificial Intelligence Dimension of Digital Manipulation Deepfake Videos: The Case of the Ukrainian-Russian People

Authors:

Başak Akmeşe

Publisher:

Ataturk University

Main Topics:

Communication and Media Studies (Other)

Journal:

Contemporary Issues of Communication Vol.2 Issue 2, pp.76-85

Document Type:

Article

Publication Date:

9/2023

Document Language:

English

Document ID (Org No.):

2001299817

pISSN:

2980-1524

Digital Manipulation

Artificial Intelligence

Deepfake Videos

Ukrainian-Russian People

DisinformationDijital Manipülasyon

Yapay Zekâ

Deepfake Videolar

Ukrayna-Rusya Halkı

Dezenformasyon

Issues

Article Details

Authors: Başak Akmeşe

Publisher: Ataturk University

Main Topics: Communication and Media Studies (Other)

Journal: Contemporary Issues of Communication Vol.2 Issue 2, pp.76-85

Document Type: Article

Publication Date: 9/2023

Document Language: English

Document ID (Org No.): 2001299817

pISSN: 2980-1524

Issues

Authors:

Başak Akmeşe

Publisher:

Ataturk University

Main Topics:

Communication and Media Studies (Other)

Journal:

Contemporary Issues of Communication Vol.2 Issue 2, pp.76-85

Document Type:

Article

Publication Date:

9/2023

Document Language:

English

Document ID (Org No.):

2001299817

pISSN:

2980-1524