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MEDYA VE İLETİŞİM BAĞLAMINDA YAPAY ZEKÂ TARİHİ VE TEKNOLOJİSİ: CHATGPT VE DEEPFAKE İLE GELEN DİJİTAL DÖNÜŞÜM

Year 2023, Issue: 58, 73 - 99, 27.06.2023
https://doi.org/10.17498/kdeniz.1308471

Abstract

Gelişen medya ve iletişim teknolojilerine yapay zekânın entegre olmasıyla birlikte gerek Türkiye’de, gerekse de dünyada dijital dönüşüm daha net bir şekilde yaşanmaya başlamıştır. Yapay zekâ tarihsel süreç boyunca ciddi bir değişim sürecine girmiş ve insanlığı derinden etkileyebilecek potansiyele ulaşmıştır. Dolayısıyla bu çalışma, medya ve iletişim alanında yapay zekâ teknolojisinin kullanım pratiklerinin ne olacağını tespit etmeyi amaçlamaktadır. ChatGPT sohbet robotu ve deepfake teknolojisi gibi örnekler üzerinden yapay zekânın medya sektöründeki dönüşümü irdelenecektir. Zira bu dönüşüm, iletişim süreçlerini etkilemekle birlikte, aynı zamanda güvenilirlik ve etik sorunlarını da beraberinde getirmektedir.

ChatGPT, doğal dil işleme yeteneklerine sahip bir sohbet robotu olarak, çeşitli alanlarda kullanılmaktadır. Özellikle müşteri hizmetleri, içerik oluşturma ve iletişim süreçlerinde ChatGPT'nin kullanımı hızla artmaktadır. Yapay zekânın gelişimiyle birlikte, ChatGPT'nin insan benzeri performans sergileme yeteneği iyileşmiş ve kullanım alanları genişlemiştir. Bununla birlikte, ChatGPT'nin doğru ve güvenilir bilgi sağlama konusundaki sınırlamaları ve yanıltma riskleri de göz ardı edilmemelidir. ChatGPT’nin gerek sosyal medyada gerekse de habercilikte etkilerinin olacağını söyleyebilmek mümkündür. Öte yandan, deepfake teknolojisi, gerçekçi sahte görüntüler oluşturarak medya manipülasyonu potansiyeline sahiptir. Bu teknoloji, fotoğraf ve videolarda yüz değiştirme veya ses dublajı gibi manipülasyonları mümkün kılarak güvenilirlik sorunlarını beraberinde getirir. Deepfake, medya sektöründe güvenilirlik, sahtecilik tespiti ve önleme konularında ciddi endişelere yol açmaktadır.

Sonuç olarak, yapay zekâ teknolojileri, medya ve iletişim alanında önemli bir dönüşüm yaratmaktadır. ChatGPT gibi sohbet robotları, iletişim süreçlerini geliştirerek müşteri deneyimini artırma potansiyeline sahiptir. Ancak, doğru ve güvenilir bilgi sağlama konusundaki sınırlamaları göz önünde bulundurulmalıdır. Deepfake teknolojisi ise medya manipülasyonu ve sahtecilik risklerini beraberinde getirmektedir. Bu nedenle, etik kullanım, güvenilirlik sağlama ve manipülasyonun tespit edilmesi için gelişmiş önlemler alınması büyük önem taşımaktadır.

References

  • Adaş, E. & Erbay, B. (2022). Yapay Zekâ Sosyolojisi Üzerine Bir Değerlendirme. Gaziantep University Journal of Social Sciences, 21(1), 326-337.
  • AlAfnan, M. A., Dishari, S., Jovic, M., & Lomidze, K. (2023). Chatgpt as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology, 3(2), 60-68.
  • Alam, G. (2022). Curating Datasets from GPS, Communication Technology and Social Media: Using Artificial Intelligence to Predict, Analyse and Manage Traffic System. In 2022 2nd International Conference on Computing and Information Technology (ICCIT) (293-297). IEEE.
  • Allyn, B. (2022). Deepfake video of Zelensky could be'tip of the iceberg'in info war, experts warn. NPR. Erişim Tarihi: 24.04.2023
  • Anjila P K, F. (2021). Artificial Intelligence, Learning Outcomes of Classroom Research (Ed. J. Karthikeyan, Ting Su Hie, Ng Yu Jin), New Delhi: L Ordine Nuovo Publication, 65-73.
  • Biswas, S. S. (2023a). Role Of Chat Gpt In Public Health. Annals of Biomedical Engineering, 51(5),868–869.
  • Biswas, S. S. (2023b). Potential Use Of Chat GPT İn Global Warming. Annals of Biomedical Engineering, (51), 1126– 1127.
  • Biswas, S. S. (2023c). Prospective Role of Chat GPT in the Military: According to ChatGPT. Qeios.1-19.
  • Bontridder, N., & Poullet, Y. (2021). The role of artificial intelligence in disinformation. Data & Policy, 3, e32.
  • Brendel, A. B., Mirbabaie, M., Lembcke, T. B., & Hofeditz, L. (2021). Ethical management of artificial intelligence. Sustainability, 13(4), 1-18
  • Chadha, A., Kumar, V., Kashyap, S., & Gupta, M. (2021). Deepfake: An Overview. In Proceedings of Second International Conference on Computing, Communications, and Cyber-Security: IC4S 2020 (557-566). Springer Singapore.
  • Chan-Olmsted, S. M. (2019). A review of artificial intelligence adoptions in the media industry. International Journal on Media Management, 21(3-4), 193-215.
  • Çetli, E. & Özkoçak, V. (2018). Use of recorded personal data in forensic sciences. Avrasya Sanat ve Medeniyet Dergisi, 10, 1-12.
  • Dack, S. (2019). Deep fakes, fake news, and what comes next. The Henry M. Jackson School of International Studies, Erişim Tarihi: 21.04.2023
  • de-Lima-Santos, M. F., & Ceron, W. (2021). Artificial intelligence in news media: current perceptions and future outlook. Journalism and Media, 3(1), 13-26.
  • Eberl, A., Kühn, J., & Wolbring, T. (2022). Using deepfakes for experiments in the social sciences-A pilot study. Frontiers in Sociology, 7.
  • Fetzer, J. H. (1990). Artificial Intelligence: Its Scope and Limits, Dordrecht, The Netherlands: Kluwer Academic Publishers.
  • Floridi, L. (2019). What the near future of artificial intelligence could be. Philosophy & Technology, 32, 1-15.
  • Galyashina, E. I. & Nikishin, V. D. (2022). The protection of megascience projects from deepfake technologies threats: information law aspects. In Journal of Physics: Conference Series (Vol. 2210, No. 1, p. 012007). IOP Publishing.
  • Gentzkow, M. (2018). Media and Artificial Intelligence, https://web.stanford.edu/~gentzkow/research/ai_and_media.pdf, Erişim Tarihi: 20.05.2023.
  • Giansiracusa, N. (2021). How Algorithms Create and Prevent Fake News: Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More. New York: Apress.
  • Görgişen, K.G. (2023). ChatGPT’nin Yeni Sürümü GPT-4 Çıktı, https://bilimgenc.tubitak.gov.tr/makale/chatgptnin-yeni-surumu-gpt-4-cikti, Erişim Tarihi: 20.03.2023.
  • Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A Human–Machine Communication research agenda. New Media & Society, 22(1), 70-86.
  • Habes, M., Ali, S., Elareshi, M., Tahat, K. M., & Ziani, A. (2021). Understanding users’ social TV content using artificial intelligence approach: a survey. In 2021 international conference of modern trends in information and communication technology industry (MTICTI) (1-7). IEEE.
  • Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California management review, 61(4), 5-14.
  • Hancock, J. T., & Bailenson, J. N. (2021). The social impact of deepfakes. Cyberpsychology, behavior, and social networking, 24(3), 149-152.
  • Haristiani, N. (2019). Artificial Intelligence (AI) chatbot as language learning medium: An inquiry. In Journal of Physics: Conference Series, 1387 (1), 012020. IOP Publishing.
  • Hsu, T., & Thompson, S. A. (2023). Disinformation researchers raise alarms about AI chatbots. New York Times.
  • IBM (2016). A new day in the world of content -Your cognitive future in the media and entertainment industry-, IBM Institute for Business Value.
  • Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business horizons, 61(4), 577-586
  • Kane, T. B. (2019). Artificial intelligence in politics: establishing ethics. IEEE Technology and Society Magazine, 38(1), 72-80.
  • Kaplan, A. (2020). Artificial Intelligence, Social Media, and Fake News: Is This the End of Democracy? In A.A. Gül, Y.D. Ertürk and P. Elmer (Eds.), Digital Transformation in Communication and Media Studies. Istanbul: Istanbul University Press.
  • Karakoç Keskin, E. (2023). Yapay Zekâ Sohbet Robotu ChatGPT ve Türkiye İnternet Gündeminde Oluşturduğu Temalar. Yeni Medya Elektronik Dergisi, 7(2), 114-131.
  • Karnouskos, S. (2020). Artificial intelligence in digital media: The era of deepfakes. IEEE Transactions on Technology and Society, 1(3), 138-147.
  • Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, (103), 102274.
  • Kauffman, M. E., & Soares, M. N. (2020). AI in legal services: new trends in AI-enabled legal services. Service Oriented Computing and Applications, 14(4), 223-226.
  • Khan, I. R., Aisha, S., Kumar, D., & Mufti, T. (2023). A Systematic Review on Deepfake Technology. Proceedings of Data Analytics and Management: ICDAM 2022, 669-685.
  • Kırık, A.M. & Özkoçak, V. (2021). Koronavirüs (Covid-19) Pandemisinde Evden Çalışma ve İş Hayatında Dijital İletişim Teknolojilerinin Kullanımı, International Social Sciences Studies Journal, 7 (79); 924-933.
  • Mahmud, B. U., & Sharmin, A. (2021). Deep insights of deepfake technology: A review. arXiv preprint arXiv:2105.00192.
  • Merenkov, A. V., Campa, R., & Dronishinets, N. P. (2021). Public opinion on artificial intelligence development. KnE Social Sciences, 565-574.
  • Murphy, G. & Flynn, E. (2022). Deepfake False Memories. Memory, 30(4), 480-492.
  • Narayan, K., Agarwal, H., Mittal, S., Thakral, K., Kundu, S., Vatsa, M., & Singh, R. (2022). DeSI: Deepfake Source Identifier for Social Media. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2858-2867.
  • Nunavath, V., & Goodwin, M. (2018). The role of artificial intelligence in social media big data analytics for disaster management-initial results of a systematic literature review. In 2018 5th International Conference on information and communication technologies for disaster management (ICT-DM) (1-4). IEEE.
  • Partigöç, N. S. (2022). Afet Risk Yönetiminde Yapay Zekâ Kullanımının Rolü. Bilişim Teknolojileri Dergisi, 15(4), 401- 411.
  • Pirim, H. (2006). Yapay zekâ. Journal of Yaşar University, 1(1), 81-93.
  • Reynoso, R. (2021). A Complete History of Artificial Intelligence, https://www.g2.com/articles/history-of- artificial-intelligence, Erişim Tarihi: 24.05.2023.
  • Schmidt, A. (2020). Interactive Human Centered Artificial Intelligence: A Definition And Research Challenges. In Proceedings of the International Conference on Advanced Visual Interfaces, 1-4.
  • Sharma, M. & Kaur, M. (2022). A review of Deepfake technology: an emerging AI threat. Soft Computing for Security Applications: Proceedings of ICSCS 2021, 605-619.
  • Statista (2023a). Amount of money companies in the United States saved by using ChatGPT as of February 2023, https://www.statista.com/statistics/1379027/chatgpt-use-us-companies-money-saved/, Erişim Tarihi: 24.05.2023.
  • Statista (2023b). Artificial intelligence (AI) market size worldwide in 2021 with a forecast until 2030, https://www.statista.com/statistics/1365145/artificial-intelligence-market-size/, Erişim Tarihi: 24.05.2023.
  • Törnberg, P. (2023). ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning. arXiv preprint arXiv:2304.06588.
  • Westerlund, M. (2019). The emergence of deepfake technology: A review. Technology innovation management review, 9(11), 39-52.
  • Yu, P., Xia, Z., Fei, J., & Lu, Y. (2021). A Survey On Deepfake Video Detection. Iet Biometrics, 10(6), 607-624.
  • Zhang, J., Tohidypour, H., Wang, Y., & Nasiopoulos, P. (2023). Shallow-and Deep-fake Image Manipulation Localization Using Deep Learning. In 2023 International Conference on Computing, Networking and Communications (ICNC), 468-472, IEEE.
  • Zhang, T. (2022). Deepfake Generation And Detection, A Survey. Multimedia Tools and Applications, 81(5), 6259- 6276.

THE HISTORY AND TECHNOLOGY OF ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF MEDIA AND COMMUNICATION: DIGITAL TRANSFORMATION WITH CHATGPT AND DEEPFAKE

Year 2023, Issue: 58, 73 - 99, 27.06.2023
https://doi.org/10.17498/kdeniz.1308471

Abstract

With the integration of artificial intelligence into evolving media and communication technologies, digital transformation has become more apparent both in Turkey and worldwide. Artificial intelligence has undergone a significant transformation throughout history and has reached a potential that can deeply impact humanity. Therefore, this study aims to determine the usage practices of artificial intelligence technology in the field of media and communication. The transformation in the media sector will be examined through examples such as ChatGPT chatbot and deepfake technology. This transformation not only affects communication processes but also brings along issues of reliability and ethics.

ChatGPT, as a conversational robot with natural language processing capabilities, is being used in various fields. Particularly, the usage of ChatGPT in customer service, content creation, and communication processes is rapidly increasing. With the advancement of artificial intelligence, ChatGPT's ability to perform human-like interactions has improved, and its areas of application have expanded. However, the limitations in providing accurate and reliable information and the risks of misinformation should not be overlooked. It can be said that ChatGPT will have effects in social media and journalism. On the other hand, deepfake technology has the potential for media manipulation by creating realistic fake images. This technology enables manipulations such as face swapping or voice dubbing in photos and videos, raising concerns about reliability, forgery detection, and prevention in the media sector.

In conclusion, artificial intelligence technologies are creating a significant transformation in the field of media and communication. Chatbots like ChatGPT have the potential to enhance communication processes and improve customer experience. However, the limitations in providing accurate and reliable information should be taken into account. Deepfake technology, on the other hand, brings risks of media manipulation and forgery. Therefore, ethical usage, ensuring reliability, and implementing advanced measures for detecting manipulation are of great importance.

References

  • Adaş, E. & Erbay, B. (2022). Yapay Zekâ Sosyolojisi Üzerine Bir Değerlendirme. Gaziantep University Journal of Social Sciences, 21(1), 326-337.
  • AlAfnan, M. A., Dishari, S., Jovic, M., & Lomidze, K. (2023). Chatgpt as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology, 3(2), 60-68.
  • Alam, G. (2022). Curating Datasets from GPS, Communication Technology and Social Media: Using Artificial Intelligence to Predict, Analyse and Manage Traffic System. In 2022 2nd International Conference on Computing and Information Technology (ICCIT) (293-297). IEEE.
  • Allyn, B. (2022). Deepfake video of Zelensky could be'tip of the iceberg'in info war, experts warn. NPR. Erişim Tarihi: 24.04.2023
  • Anjila P K, F. (2021). Artificial Intelligence, Learning Outcomes of Classroom Research (Ed. J. Karthikeyan, Ting Su Hie, Ng Yu Jin), New Delhi: L Ordine Nuovo Publication, 65-73.
  • Biswas, S. S. (2023a). Role Of Chat Gpt In Public Health. Annals of Biomedical Engineering, 51(5),868–869.
  • Biswas, S. S. (2023b). Potential Use Of Chat GPT İn Global Warming. Annals of Biomedical Engineering, (51), 1126– 1127.
  • Biswas, S. S. (2023c). Prospective Role of Chat GPT in the Military: According to ChatGPT. Qeios.1-19.
  • Bontridder, N., & Poullet, Y. (2021). The role of artificial intelligence in disinformation. Data & Policy, 3, e32.
  • Brendel, A. B., Mirbabaie, M., Lembcke, T. B., & Hofeditz, L. (2021). Ethical management of artificial intelligence. Sustainability, 13(4), 1-18
  • Chadha, A., Kumar, V., Kashyap, S., & Gupta, M. (2021). Deepfake: An Overview. In Proceedings of Second International Conference on Computing, Communications, and Cyber-Security: IC4S 2020 (557-566). Springer Singapore.
  • Chan-Olmsted, S. M. (2019). A review of artificial intelligence adoptions in the media industry. International Journal on Media Management, 21(3-4), 193-215.
  • Çetli, E. & Özkoçak, V. (2018). Use of recorded personal data in forensic sciences. Avrasya Sanat ve Medeniyet Dergisi, 10, 1-12.
  • Dack, S. (2019). Deep fakes, fake news, and what comes next. The Henry M. Jackson School of International Studies, Erişim Tarihi: 21.04.2023
  • de-Lima-Santos, M. F., & Ceron, W. (2021). Artificial intelligence in news media: current perceptions and future outlook. Journalism and Media, 3(1), 13-26.
  • Eberl, A., Kühn, J., & Wolbring, T. (2022). Using deepfakes for experiments in the social sciences-A pilot study. Frontiers in Sociology, 7.
  • Fetzer, J. H. (1990). Artificial Intelligence: Its Scope and Limits, Dordrecht, The Netherlands: Kluwer Academic Publishers.
  • Floridi, L. (2019). What the near future of artificial intelligence could be. Philosophy & Technology, 32, 1-15.
  • Galyashina, E. I. & Nikishin, V. D. (2022). The protection of megascience projects from deepfake technologies threats: information law aspects. In Journal of Physics: Conference Series (Vol. 2210, No. 1, p. 012007). IOP Publishing.
  • Gentzkow, M. (2018). Media and Artificial Intelligence, https://web.stanford.edu/~gentzkow/research/ai_and_media.pdf, Erişim Tarihi: 20.05.2023.
  • Giansiracusa, N. (2021). How Algorithms Create and Prevent Fake News: Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More. New York: Apress.
  • Görgişen, K.G. (2023). ChatGPT’nin Yeni Sürümü GPT-4 Çıktı, https://bilimgenc.tubitak.gov.tr/makale/chatgptnin-yeni-surumu-gpt-4-cikti, Erişim Tarihi: 20.03.2023.
  • Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A Human–Machine Communication research agenda. New Media & Society, 22(1), 70-86.
  • Habes, M., Ali, S., Elareshi, M., Tahat, K. M., & Ziani, A. (2021). Understanding users’ social TV content using artificial intelligence approach: a survey. In 2021 international conference of modern trends in information and communication technology industry (MTICTI) (1-7). IEEE.
  • Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California management review, 61(4), 5-14.
  • Hancock, J. T., & Bailenson, J. N. (2021). The social impact of deepfakes. Cyberpsychology, behavior, and social networking, 24(3), 149-152.
  • Haristiani, N. (2019). Artificial Intelligence (AI) chatbot as language learning medium: An inquiry. In Journal of Physics: Conference Series, 1387 (1), 012020. IOP Publishing.
  • Hsu, T., & Thompson, S. A. (2023). Disinformation researchers raise alarms about AI chatbots. New York Times.
  • IBM (2016). A new day in the world of content -Your cognitive future in the media and entertainment industry-, IBM Institute for Business Value.
  • Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business horizons, 61(4), 577-586
  • Kane, T. B. (2019). Artificial intelligence in politics: establishing ethics. IEEE Technology and Society Magazine, 38(1), 72-80.
  • Kaplan, A. (2020). Artificial Intelligence, Social Media, and Fake News: Is This the End of Democracy? In A.A. Gül, Y.D. Ertürk and P. Elmer (Eds.), Digital Transformation in Communication and Media Studies. Istanbul: Istanbul University Press.
  • Karakoç Keskin, E. (2023). Yapay Zekâ Sohbet Robotu ChatGPT ve Türkiye İnternet Gündeminde Oluşturduğu Temalar. Yeni Medya Elektronik Dergisi, 7(2), 114-131.
  • Karnouskos, S. (2020). Artificial intelligence in digital media: The era of deepfakes. IEEE Transactions on Technology and Society, 1(3), 138-147.
  • Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, (103), 102274.
  • Kauffman, M. E., & Soares, M. N. (2020). AI in legal services: new trends in AI-enabled legal services. Service Oriented Computing and Applications, 14(4), 223-226.
  • Khan, I. R., Aisha, S., Kumar, D., & Mufti, T. (2023). A Systematic Review on Deepfake Technology. Proceedings of Data Analytics and Management: ICDAM 2022, 669-685.
  • Kırık, A.M. & Özkoçak, V. (2021). Koronavirüs (Covid-19) Pandemisinde Evden Çalışma ve İş Hayatında Dijital İletişim Teknolojilerinin Kullanımı, International Social Sciences Studies Journal, 7 (79); 924-933.
  • Mahmud, B. U., & Sharmin, A. (2021). Deep insights of deepfake technology: A review. arXiv preprint arXiv:2105.00192.
  • Merenkov, A. V., Campa, R., & Dronishinets, N. P. (2021). Public opinion on artificial intelligence development. KnE Social Sciences, 565-574.
  • Murphy, G. & Flynn, E. (2022). Deepfake False Memories. Memory, 30(4), 480-492.
  • Narayan, K., Agarwal, H., Mittal, S., Thakral, K., Kundu, S., Vatsa, M., & Singh, R. (2022). DeSI: Deepfake Source Identifier for Social Media. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2858-2867.
  • Nunavath, V., & Goodwin, M. (2018). The role of artificial intelligence in social media big data analytics for disaster management-initial results of a systematic literature review. In 2018 5th International Conference on information and communication technologies for disaster management (ICT-DM) (1-4). IEEE.
  • Partigöç, N. S. (2022). Afet Risk Yönetiminde Yapay Zekâ Kullanımının Rolü. Bilişim Teknolojileri Dergisi, 15(4), 401- 411.
  • Pirim, H. (2006). Yapay zekâ. Journal of Yaşar University, 1(1), 81-93.
  • Reynoso, R. (2021). A Complete History of Artificial Intelligence, https://www.g2.com/articles/history-of- artificial-intelligence, Erişim Tarihi: 24.05.2023.
  • Schmidt, A. (2020). Interactive Human Centered Artificial Intelligence: A Definition And Research Challenges. In Proceedings of the International Conference on Advanced Visual Interfaces, 1-4.
  • Sharma, M. & Kaur, M. (2022). A review of Deepfake technology: an emerging AI threat. Soft Computing for Security Applications: Proceedings of ICSCS 2021, 605-619.
  • Statista (2023a). Amount of money companies in the United States saved by using ChatGPT as of February 2023, https://www.statista.com/statistics/1379027/chatgpt-use-us-companies-money-saved/, Erişim Tarihi: 24.05.2023.
  • Statista (2023b). Artificial intelligence (AI) market size worldwide in 2021 with a forecast until 2030, https://www.statista.com/statistics/1365145/artificial-intelligence-market-size/, Erişim Tarihi: 24.05.2023.
  • Törnberg, P. (2023). ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning. arXiv preprint arXiv:2304.06588.
  • Westerlund, M. (2019). The emergence of deepfake technology: A review. Technology innovation management review, 9(11), 39-52.
  • Yu, P., Xia, Z., Fei, J., & Lu, Y. (2021). A Survey On Deepfake Video Detection. Iet Biometrics, 10(6), 607-624.
  • Zhang, J., Tohidypour, H., Wang, Y., & Nasiopoulos, P. (2023). Shallow-and Deep-fake Image Manipulation Localization Using Deep Learning. In 2023 International Conference on Computing, Networking and Communications (ICNC), 468-472, IEEE.
  • Zhang, T. (2022). Deepfake Generation And Detection, A Survey. Multimedia Tools and Applications, 81(5), 6259- 6276.

ИСТОРИЯ И ТЕХНОЛОГИЯ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В КОНТЕКСТЕ МЕДИА И КОММУНИКАЦИЙ: ЦИФРОВАЯ ТРАНСФОРМАЦИЯ С CHATGPT И DEEPFAKE

Year 2023, Issue: 58, 73 - 99, 27.06.2023
https://doi.org/10.17498/kdeniz.1308471

Abstract

С Интеграцией искусственного интеллекта в развивающиеся медиа и коммуникационные технологии цифровая трансформация стала более очевидной как в Турции, так и по всему миру. Искусственный интеллект претерпел значительные изменения на протяжении истории и достиг потенциала, который может глубоко повлиять на человечество. Поэтому данное исследование направлено на определение практики использования технологии искусственного интеллекта в области медиа и коммуникации. Трансформация в медиа-секторе будет рассмотрена на примере таких технологий, как чат-робот ChatGPT и технология deepfake. Эта трансформация затрагивает не только процессы коммуникации, но и вызывает проблемы надежности и этики.

ChatGPT, как разговорный робот с возможностями обработки естественного языка, используется в различных областях. Особенно активно возрастает использование ChatGPT в области обслуживания клиентов, создания контента и коммуникационных процессов. С развитием искусственного интеллекта улучшилась способность ChatGPT вести взаимодействие, приближенное к человеческому, и расширились области его применения. Однако не следует пренебрегать ограничениями в предоставлении точной и надежной информации и рисками распространения ложной информации. Можно сказать, что ChatGPT окажет влияние на социальные медиа и журналистику. С другой стороны, технология deepfake имеет потенциал для манипулирования медиа, создавая реалистичные фальшивые изображения. Эта технология позволяет производить манипуляции, такие как замена лица или озвучивание, в фотографиях и видеозаписях, возникают вопросы надежности, обнаружения и предотвращения фальсификации в медиа-секторе.

В заключение, технологии искусственного интеллекта создают значительные трансформации в области медиа и коммуникации. Разговорные роботы, такие как ChatGPT, имеют потенциал улучшить процессы коммуникации и повысить уровень удовлетворенности клиентов. Однако следует учитывать ограничения в предоставлении точной и надежной информации. С другой стороны, технология deepfake несет риски манипуляции медиа и фальсификации. Поэтому этическое использование, обеспечение надежности и применение передовых мер для обнаружения манипуляций имеют важное значение.

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There are 55 citations in total.

Details

Primary Language Turkish
Subjects Cultural Studies
Journal Section Articles
Authors

Ali Murat Kırık 0000-0002-5771-4843

Vahdet Özkoçak 0000-0002-4603-2548

Early Pub Date June 20, 2023
Publication Date June 27, 2023
Submission Date June 1, 2023
Published in Issue Year 2023 Issue: 58

Cite

APA Kırık, A. M., & Özkoçak, V. (2023). MEDYA VE İLETİŞİM BAĞLAMINDA YAPAY ZEKÂ TARİHİ VE TEKNOLOJİSİ: CHATGPT VE DEEPFAKE İLE GELEN DİJİTAL DÖNÜŞÜM. Karadeniz Uluslararası Bilimsel Dergi(58), 73-99. https://doi.org/10.17498/kdeniz.1308471