Is Deepfake a Threat or an Opportunity?


Abstract views: 32 / PDF downloads: 38

Authors

DOI:

https://doi.org/10.5281/zenodo.11531297

Keywords:

fake image, fake audio, deepfake, deepfake threat, security, cybersecurity

Abstract

Deepfake technology refers to the creation of fake audio and visual content using rapidly advancing artificial intelligence and deep learning algorithms. This technology has gained attention due to its both positive and negative aspects. This research aims to examine the potential threats and opportunities presented by deepfake technology. While it poses negative implications such as fake news, propaganda, phishing, fraud, and violations of personal privacy, it also contributes positively to areas like art, film, education, entertainment, and the fight against fake news in the field of cybersecurity. This study evaluates the positive effects of deepfake technology in fields such as security, privacy, and ethics, alongside the negative consequences. With the use of social media, this technology rapidly reaches millions of people, impacting society in various ways. The swift dissemination of fake audio and visual content further amplifies the potential effects of these technologies. The rise of deepfake technologies, which concern society, politics, and business, also brings security and ethical issues. Therefore, it is essential to explain the threats and opportunities of these technologies. This research conducts a document analysis by examining national and international articles from databases like Google Scholar, Wiley, and Science Direct, spanning the years 2018-2023. The findings from this study can help prepare for potential threats related to deepfake technology and contribute to its ethical and reliable use.

References

Albahar, M., & Almalki , J. (2019). Deepfakes: Threats And Countermeasures Systematıc Revıew. Journal of Theoretical and Applied Information Technology, 3242-3250.

Arslan, F. (2023). Deepfake Technology: A Criminological Literature Review. Sakarya Üniversitesi Hukuk Fakültesi Dergisi, 701-720.

Aslan, E. (2014). Yabancı Dil Öğretiminde Robot Öğretmenler. Ondokuz Mayıs Üniversitesi Eğitim Fakültesi Dergisi, 15-26.

Baş, M. H., & Şenol, A. (2023). Derin Kurgu (Deepfake) Araçları ile Üretilen Resimlerin Adli Analizi ve Derin Kurgu Tespiti. Fırat Üniversitesi Fen Bilimleri Dergisi, 97-118.

Bazarkina, D. Y., & Pashentsev, E. N. (2020). Malicious Use Of Artificial Intelligence. Russia in Global Affairs, 154-177.

Blauth, T., Gstrein, O. J., & Zwitter, A. (2022). Artificial Intelligence Crime: An Overview of Malicious Use and Abuse of AI. IEEE Access, 77110-77122.

Brewster, T. (2021, Ekim 14). Innovation: Forbes. Forbes Web sitesi: https://www.forbes.com/sites/thomasbrewster/2021/10/14/huge-bank-fraud-uses-deep-fake-voice-tech-to-steal-millions/?sh=76f853e07559 adresinden alındı

Brown, N. I. (2020). Deepfakes and the Weaponization of Disinformation. Virginia Journal of Law & Technology, 1-59.

Buo, S. A. (2020). The Emerging Threats of Deepfake Attacks and Conutermeasures. arXiv preprint arXiv:2012.07989.

Caporusso, N. (2021). Deepfakes for the Good: a Beneficial Application of Contentious Artificial Intelligence Technology. Proceedings of the AFHE 2020 virtual conferences on software and systems engineering, and artifcial intelligence and social computing, (s. 235-241). Springer.

Chesney, B., & Citron, D. (2019). Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. California Law Review, 1753-1820.

Chesney, R., & Citron, D. K. (2018). Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. California Law Review, 1753-1820.

Chin, Y. C., Park, A., & Li, K. (2022). A comparative study on false informationgovernance in Chinese and American socialmedia platforms. Policy Internet, 263-283.

Çil, S. (2023). Türkiye’de Deepfake Teknolojisi: Youtube’da En Çok İzlenen Türkçe Deepfake Videolar Ve İzleyicileri Üzerine İnceleme. Uluslararası İletişim ve Sanat Dergisi, 173-195.

Dagar, D., & Vishwakarma, D. K. (2022). A literature review and perspectives in deepfakes: generation,. International Journal of Multimedia Information Retrieval, 219-289.

Dixit, A., Kaur, N., & Kingra, S. (2023). Review of audio deepfake detection techniques: Issues and prospects. Expert Systems, 1-19.

Durmuş, Y., & Göztaş, A. (2023). Deepfake: Post-Truth Çağı İnsanlarında Fırsat ve Tehditlere Yönelik Algılar. E. Er içinde, Medya ve Kültür Odağında İletişim (s. 25-53). Ankara: Akademisyen Kitabevi.

Eelmaa, S. (2021). Sexualization of Children in Deepfakes and Hentai: Examining Reddit User Views. SocArxiv, 1-19.

Fedeli, G. (2020). Fake news' meets Tourism: a proposed research agenda. Annals of Tourism Research.

Fikse, T. D. (2018). Imagining Deceptive Deepfakes An ethnographic exploration of fake videos. Norveç: University of Oslo Master’s thesis.

Firc, A., Malinka, K., & Hanacek, P. (2023). Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors. Heliyon, 1-33.

Gamage, D., Chen, J., Ghasiya, P., & Sasahara, K. (2022). Deepfakes and Society: What lies ahead? M. Khosravy, I. Echizen, & N. Babaguchi içinde, Frontiers in Fake Media Creation and Detection (s. 3-43). Springer.

Guarnera, L., Giudice, O., Guarnera, F., Ortis , A., Puglisi, G., Paratore, A., & Bui , L. (2022). The Face Deepfake Detection Challenge. Journal of Imaging, 1-22.

Güler, N., Bayzan, Ş., & Güneş, A. (2016). İnternette Çocuklara Yönelik Riskler Ve Ailelerin Bilinçlendirme Faaliyetlerindeki Rolü. 10. Uluslararası Bilgisayar ve Öğretim Teknolojileri Eğitimi Sempozyumu (s. 1-11). Rize: Recep Tayyip Erdoğan Üniversitesi.

Hancock, J. T., & Bailenson, J. N. (2021). The Social Impact of Deepfakes. Cyberpsychology, Behavior, and Social Networking, 149-152.

İdiman, E. Ç. (2021). Sentetik Medya ve Çevrimiçi Gerçeklik. İzmir: Dokuz Eylül Üniversitesi Güzel Sanatlar Enstitüsü Sanat ve Tasarım Anabilim Dalı Yüksek Lisans Tezi.

Jacoby, J. (1984). Perspectives on Information Overload. Journal of Consumer Research, 432-435.

Karnouskos, S. (2020). Artificial Intelligence in Digital Media: The Era of Deepfakes. IEEE Transactions on Technology and Society, 138-147.

Karnouskos, S. (2020). Artificial Intelligence in Digital Media:The Era of Deepfakes. IEEE Transactions on Technology and Society, 1-10.

Khoo, B., Phan, R., & Lim, C. H. (2022). Deepfake attribution: On the source identification of artificially generated images. WIREs Data Mining and Knowledge Discovery, 1-21.

Kırık, A. M., & Özkoçak, V. (2023). Medya Ve İletişim Bağlamında Yapay Zekâ Tarihi Ve Teknolojisi: Chatgpt Ve Deepfake İle Gelen Dijital Dönüşüm. Karadeniz Uluslararası Bilimsel Dergi, 73-99.

Korkmaz, Ş., & Alkan, M. (2023). Derin Öğrenme Algoritmalarını Kullanarak Deepfake Video Tespiti. Politeknik Dergisi, 855-862.

Kwok , A. O., & Koh, S. G. (2021). Deepfake: a social construction of technology. Current Issues in Tourism, 1798-1802.

Lyu, S. (2020). Deepfake Detection: Current Challanges and Next Steps. IEEE international conference on multimedia & expo workshops (ICMEW) (s. 1-6). London: IEEE Xplore.

Mahmud, B. U., & Sharmin, A. (2021). Deep Insights of Deepfake Technology : A Review. arXiv preprint arXiv:2105.00192.

Meel, P., & Vishwakarma, D. K. (2020). Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities. Expert Systems With Applications, 1-26.

Nick, V. (2023). Between Realities: Information Sharing Practices of Deepfake Creators. Proceedings of the Association for Information Science and Technology (s. 1161-1163). London : ASIS&T Annual Meeting.

Özdemir, Ş. (2021). Yeni Nesil Tehdit: Derin Kurgu (DeepFake). TRT Akademi, 904-917.

Pashentsev, E., & Bazarkina, D. (2022). The Malicious Use of Artificial Intelligence Against Government and Political Institutions in the Psychological Area. D. M. Bielicki içinde, Regulatıng Artıfıcıal Intellıgence In Industry (s. 36-53). New York: Routledge.

Pieterse, H., & Botha, J. (2020). Fake News and Deepfakes: A Dangerous Threat for 21st Century Information Security. 15t International Conference on Cyber Warfare and SecurityAt: Old Dominion University (s. 57-67). USA: Council for Scientific and Industrial Research.

Ruiter, A. d. (2021). The Distinct Wrong of Deepfakes. Philosophy & Technology , 1311-1332.

Ruiter, A. d. (2021). The Distinct Wrong of Deepfakes. Philosophy & Technology, 1311–1332.

Shu, K., Bhattacharjee, A., Alatawi, F., Nazer, T. H., Ding, K., Karami, M., & Liu, H. (2020). Combating disinformation in a social media age. WIREs Data Mining Knowledge and Discovery, 1-23.

Sigala, M. (2018). New technologies in tourism: From multi-disciplinary to anti-disciplinary advances and trajectories. Tourism Management Perspectives, 151-155.

Sloot, B. v., & Wagensveld, Y. (2022). Deepfakes: regulatory challenges for the synthetic society. Computer Law & Security Review, 1-15.

Somoray, K., & Miller, D. j. (2023). Providing detection strategies to improve human detection of deepfakes: An experimental study. Computers in Human Behavior, 1-8.

Swerling, G. (2020, Ocak 31). The Telegraph News. The Telegraph: https://www.telegraph.co.uk/news/2020/01/31/deepfake-audio-used-custody-battle-lawyer-reveals-doctored-evidence/ adresinden alındı

Temir, E. (2020). Deepfake: New Era in The Age of Disinformation & End. Selçuk İletişim Dergisi, 1009-1024.

Vamsi, V. V., Shet, S. S., Reddy, S. S., Rose, S. S., Shetty, S. R., Sathvika, S., . . . Shankar, S. P. (2022). Deepfake detection in digital media forensics. KeAi Chinese Roots Global Impact, 74-79.

Westerlund, M. (2019). The Emergence of Deepfake Technology: A Review. Technology Innovation Management Review, 39-52.

Woolley, S. (2020). The Reality Game: How the Next Wave of Technology Will Break the Truth . New York: Public Affairs.

Zeng, R., Song, S., Guo, Z., & Lian, D. H. (2023). Real or Fake: Eliciting Deepfake Identification Strategies through a Diary Study. Proceedings of the Association for Information Science and Technology (s. 1206-1208). London: ASIS&T Annual Meeting.

Published

2024-03-30

How to Cite

Çiçek, H. K., & Yalçın, N. (2024). Is Deepfake a Threat or an Opportunity?. Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences, 11(32), 31–46. https://doi.org/10.5281/zenodo.11531297

Issue

Section

Articles