Deepfake: Dezenformasyon Çağında Yeni Dönem ve Güvenilir Haberciliğin Sonu

Abstract

Haberciliğin var olduğu ilk andan itibaren sahte haberlerin ve dolayısıyla güvenilir habercilik probleminin var olduğunu söylemek mümkündür. Ancak son yüzyılda yaşanan hızlı teknolojik gelişmeler birçok alanda olduğu gibi habercilik alanında da dramatik sonuçlar doğurmuştur. Haberciliğin güven algısı değişmiş ve değişmektedir. Bu nedenle çağımız artık bir dezenformasyon çağı olarak anılmaya başlamıştır. ‘Deepfake’ olarak bilinen yapay zekâ tabanlı video-ses işleme teknolojisini ise bu çağ içerisinde yeni bir dönem olarak adlandırmak mümkündür. Nitekim deepfake ile bir kişinin hiç söylemediği bir şeyi söylemiş gibi veya hiç gitmediği bir yere gitmiş gibi gösterilmesi artık sıradan kullanıcıların bile yapabileceği şekilde kolaylaşmıştır. Bu durum çeşitli alanlarda geniş faydalar sağlayacak bir potansiyele sahip olmakla birlikte, habercilik de dahil birçok alanda ise büyük problemler doğuracağını söylemek mümkündür. Böylelikle bu makalede betimsel analiz yöntemi kullanılarak ‘deepfake’in doğurduğu toplumsal sorunlara kısaca değinilmekle birlikte hızlı ve etkin önlemler alınmadığı takdirde güvenilir haberciliğin tamamen ortadan kalkma riski ile karşı karşıya olduğu iddia edilmektedir.

Keywords

• Deepfake
• güvenilir gazetecilik
• sahte haberler
• dezenformasyon
• yalanlar çağı

Deepfake: New Era in The Age of Disinformation & End of Reliable Journalism

Abstract

From the very first moment of journalism, it is obvious that there are fake news and therefore reliable journalism problems. However as in many fields, rapid technological developments in the last century have had dramatic results in the field of journalism too. The perception of trust in journalism has changed and is changing. Therefore, our age is started to be mentioned as an age of disinformation. It is possible to call deepfake (video-audio manipulation technology based on artificial intelligence) as a new era in this age. As a matter of fact, with deepfake, it has become easy for even ordinary users to display it as if someone has said something they have never said or went to a place they have never been to. Although this situation has the potential to provide wide benefits in various fields, it is possible to say that it will cause big problems in many fields including journalism. Thus, in this article, using descriptive analysis method the general social problems caused by deepfakes are briefly mentioned and it is claimed that reliable journalism is at risk of disappearing if fast and effective measures are not taken.

Keywords

• Deepfake
• reliable journalism
• fake news
• disinformation
• age of lies

References

1. Agarwal S, Farid H, Gu Y, He M, Nagano K and Li H (2019) Protecting World Leaders Against Deep Fakes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 38-45.
2. Beridze I and Butcher J (2019) When Seeing is No Longer Believing. Nature Machine Intelligence, 1(8), 332-334.
3. Browne WR (1883) LV On the Reality of Force, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 16(101), 387-393. Chesney B and Citron D (2018) Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security, California Law Review, 107, 1753-1820.
4. Dale K, Sunkavalli K, Johnson M K, Vlasic D, Matusik W and Pfister H (2011) Video Face Replacement, In Proceedings of the 2011 SIGGRAPH Asia Conference, 130, 1-10.
5. Faragó T (2019) Deep Fakes–an Emerging Risk to Individuals and Societies Alike, Tilburg Papers in Culture Studies Paper, 237.
6. Farid H, Davies A, Lynette Webb L, WolfHwang C T, Zucconi A and Lyu S (2019) Deepfakes andAudio-visual Disinformation, The Centre for Data Ethics. Güera D and Delp E J (2018) Deepfake Video Detection Using Recurrent Neural Networks, 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Auckland, New Zealand, 1-6.
7. Hasan H R and Salah.K (2019) Combating Deepfake Videos Using Blockchain and Smart Contracts, IEEE, 7, 41596-41606.
8. James Wan J (Director) (2015) Fast and Furious 7 (Movie), U.S.: Universal Pictures.

9. Kietzmann J, Lee L W, McCarthy I P and Kietzmann T C (2019) Deepfakes: Trick or Treat?, Business Horizons (Article in Press).
10. Li Y and S L (2018) Exposing Deepfake Videos by Detecting Face Warping Artifacts, eprint arXiv:1811.00656.
11. Nirkin Y, Keller Y and Hassner T (2019) Fsgan: Subject Agnostic Face Swapping and Reenactment. In Proceedings of the IEEE International Conference on Computer Vision, 7184-7193.
12. O'Connor C and Weatherall J O (2019) The Misinformation Age: How False Beliefs Spread, Yale University Press, New Haven.
13. Otto K and Andreas K (eds) (2018) Trust in Media and Journalism: Empirical Perspectives on Ethics, Norms, Impacts and Populism in Europe, Springer. Qayyum A, Qadir J, Janjua M U and Sher F (2019) Using Blockchain to Rein in the New Post-Truth World and Check the Spread of Fake News, IT Professional, 21(4), 16-24.
14. Vaccari C and Chadwick A (2020) Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News. Social Media+ Society (Article in Press).
15. Westerlund M (2019) The Emergence of Deepfake Technology: A Review. Technology Innovation Management Review, 9(11), 39-52. Yvorsky M A (2019) Deepfake: Pravovie Problemi I İh Reshenie, Aktıalnie Problemi Razvitiya Pravovoi Sistemi v Tsifrovuyu Epohu, Materiali Mejdunarodnogo Yuridicheskogo Nauchnogo Simpoziuma, 3 Dekabrya 2019, Samara.
16. Zhou H, Liu Y, Liu Z, Luo P and Wang X (2019) Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. In Proceedings of the AAAI Conference on Artificial Intelligence, 33, 9299- 9306.