SavedAdd your journal

Journals / Erciyes İletişim Dergisi / 2025 / Cilt: 12 Sayı: 2

The Function of Artificial Intelligence in the Information Distortion Process

Bilgi Çarpıtma Sürecinde Yapay Zekanın İşlevi

İkram Alpsoy(AĞRI İBRAHİM ÇEÇEN ÜNİVERSİTESİ, İKTİSADİ VE İDARİ BİLİMLER FAKÜLTESİ)0000-0001-6798-5180
Pages
551–568
Publication Date
2025-07-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The study finds that the business model of the web based on advertising revenues is important in disinformation, and predicts that legal regulations and controls can reduce the problem.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Artificial intelligence systems are important in the information distortion phenomenon facing humanity today.
📊
Key Findings & Data:These systems make it easy to disseminate realistic fake content on a large scale, which exacerbates the problem.
💡
Conclusion & Impact:The study finds that the business model of the web based on advertising revenues is important in disinformation, and predicts that legal regulations and controls can reduce the problem.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Dijital ekosistem · Bilgi çarpıtma · Yapay zekâ

Abstract

Artificial intelligence systems are important in the information distortion phenomenon facing humanity today. These systems make it easy to disseminate realistic fake content on a large scale, which exacerbates the problem. To prevent this, other systems have been created to identify and control information distortion. These systems cannot escape the human rights and ethical sensitivities associated with freedom of information and expression. In this context, the study aims to present the relationship between artificial intelligence and disinformation as a descriptive, theoretical and literature review. It also focuses on the benefits and drawbacks of artificial intelligence, which opens a different field in interpersonal communication than in the past, and its contributions to possible changes in communication activities. The study finds that the business model of the web based on advertising revenues is important in disinformation, and predicts that legal regulations and controls can reduce the problem.

Özet

Yapay zekâ sistemleri, günümüzde insanlığın karşı karşıya olduğu bilgi çarpıtma (dezenformasyon) olgusunda çok önemli bir rol oynamaktadır. Bu sistemlerin yapay zekâ aracılığı ile yapılan gerçekçi düzmece içeriklerin oluşturulmasına imkân sağlamasının yanı sıra art niyetli kişilerce bağlamından koparılan bilgilerin belirlenen kişilere ve geniş bir ölçekte ulaştırılmasını kolaylaştırma imkânı sunması problemi daha da artırmaktadır. Bu duruma tepki olarak çevrim içi bilgi çarpıtmayı belirlemek ve kontrol etmek amacıyla başka yapay zekâ sistemleri oluşturulmuştur. Bu sistemler de özellikle bilgi ve ifade özgürlüğüyle alakalı insan hakları ve etik bağlamındaki hassasiyetlerden kaçamamaktadır. Bu bağlamda çalışma, yapay zekâ ve bilgi çarpıtma ilişkisini betimleyici ve yazın taraması olarak sunmayı amaçlamaktadır. Bunun yanı sıra insanlar, gruplar ve toplumlar arasındaki iletişimde geçmişten farklı bir alanın oluşmasını sağlayan yapay zekânın faydalarına, olumsuzluklarına ve iletişim faaliyetlerindeki olası değişikliklere yapacağı katkılara odaklanılmaktadır. Araştırmada, web'in reklam gelirlerine dayalı iş modelinin bilginin çarpıtılmasında esas sorunu oluşturduğu belirlenmekte, böylelikle bu alanda yapılacak hukuki düzenleme ve denetimin sorunu büyük oranda azaltacağı öngörülmektedir.

🔖

Cite This Article

Alpsoy, İ. (2025). The Function of Artificial Intelligence in the Information Distortion Process. Erciyes İletişim Dergisi, Cilt: 12 Sayı: 2, 551–568. https://doi.org/10.17680/erciyesiletisim.1636521

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (50)

  1. Akers, J., Bansal, G., Cadamuro, G., Chen, C., Chen, Q., Lin, L., Mulcaire, P., Nandakumar, R., Rockett, M., Simko, L., Toman, J., Wu, T., Zeng, E., Zorn, B., & Roesner, F. (2018). Technology-Enabled Disinformation: Summary, Lessons, and Recommendations. April 2019.
  2. Assenmacher, D., Clever, L., Frischlich, L., Quandt, T., Trautmann, H., & Grimme, C. (2020). Demystifying Social Bots: On the Intelligence of Automated Social Media Actors. Social Media and Society, 6(3). https://doi.org/10.1177/2056305120939264
  3. Bennett, w. L., & Livingston, S. (2020). The Disinformation Age. Içinde The Disinformation Age. https://doi.org/10.1017/9781108914628
  4. Bergamini, D. (2020). Need for democratic governance of artificial intelligence. Parliamentary Assembly.
  5. Bindner, L., & Gluck, R. (2020). Social Media and the Murder of Samuel Paty, Global Network on Extremism and Terrorism. https://gnet-research.org/2020/11/06/social-media-and-the-murder-of-samuel-paty/
  6. Brkan, M. (2019). Freedom of Expression and Artificial Intelligence: On Personalisation, Disinformation and (Lack Of) Horizontal Effect of the Charter. SSRN Electronic Journal, February, 1–17. https://doi.org/10.2139/ssrn.3354180
  7. Chesney, B., & Citron, D. (2019). Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. California Law Review, 107, 1753–1820.
  8. Dixit, P., & Mac, R. (2018). How WhatsApp Destroyed a Village. Buzzfeed News. https://www.buzzfeednews.com/article/pranavdixit/whatsapp-destroyed-village-lynchings-rainpada-india
  9. EDPS Ethics Advisory Group. (2018). Towards a Digital Ethics - Report. European Data Protection Supervisor.
  10. ERGA. (2020). ERGA Report on disinformation: Assessment of the implementation of the Code of Practice. 1–73. European Regulators Group for Audiovisual Media Services.
  11. European Commission. (2018). 2018 Code of Practice on Disinformation. https://digital-strategy.ec.europa.eu/en/library/2018-code-practice-disinformation
  12. European Parliament. (2020). European Parliament Resolution on Strengthening Media Freedom: The Protection of Journalists in Europe, Hate Speech, Disinformation and the Role of Platforms 2020/2009(INI). https://www.europarl.europa.eu/doceo/document/TA-9-2020-0320_EN.html
  13. Festré, A., & Garrouste, P. (2015). The ‘Economics of Attention’: A History of Economic Thought Perspective. OEconomia, 5–1, 3–36. https://doi.org/10.4000/oeconomia.1139
  14. Goodfellowet, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Ben gio, Y. (2014). Generative adversarial nets. Advances in Neural Information Processing Systems, 27, 1–9.
  15. Greengard, S. (2019). Will deepfakes do deep damage? Communications of the ACM, 63(1), 17–19. https://doi.org/10.1145/3371409
  16. Habes, M., Ali, S., Elareshi, M., Tahat, K. M., & Ziani, A. (2021). Understanding Users’ Social TV Content using Artificial Intelligence Approach: A Survey. International Conference of Modern Trends in ICT Industry: Towards the Excellence in the ICT Industries, MTICTI 2021, 2, 1–7. https://doi.org/10.1109/MTICTI53925.2021.9664762
  17. Hanot, M. & Michel, A. (2020). Entre menaces pour la vie en société et risques réglementaires, les fake news: un danger pour la démocratie? Içinde Vie privée, liberté d’expression et démocratie dans la société du numérique (Yves Poull, Sayı 47, ss. 155–208).
  18. Harbinja, E., & Karagiannopoulos, V. (2019). Web 3.0: The Decentralised Web Promises to Make the Internet Free Again. The Conversation. https://theconversation.com/web-3-0-the-decentralised-web-promises-to-make-the internet-free-again-113139
  19. Hildebrandt, M. (2018). Primitives of Legal Protection in the Era of Data-Driven Platforms. SSRN Electronic Journal, 2(2), 1–21. https://doi.org/10.2139/ssrn.3140594
  20. Howard, P. N., & Kollanyi, B. (2016). Bots, #Strongerin, and #Brexit: Computational Propaganda During the UK-EU Referendum. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2798311
  21. Jagtap, N. P., Patil, K. A., Shakil, S. S., & Ingle, N. S. (2015). Mobile Activity Monitoring System Using Android Spy. Ijarcce, 4(2), 158–162. https://doi.org/10.17148/ijarcce.2015.4235
  22. Kaye, D. (2018). A /73/348*. October.
  23. Keller, I., & Público, D. (2021). Don’t Shoot the Message: Regulating Disinformation Beyond Content Assunto Especial Dossiê – Democracia, Fake News e Eleições Don ’ t Shoot the Message: Regulating Disinformation Beyond Content.
  24. Kertysova, K. (2019). Artificial Intelligence and Disinformation. Security and Human Rights, 29(1–4), 55–81. https://doi.org/10.1163/18750230-02901005
  25. Kolarević, E. (2022). The influence of Artificial intelligence on the right to freedom of expression. Pravo - teorija i praksa, 39(1), 111–126. https://doi.org/10.5937/ptp2201111k
  26. Lamo, M., & Calo, R. (2019). Regulating bot speech. Içinde UCLA Law Review (C. 66, Sayı 4). https://doi.org/10.2139/ssrn.3214572
  27. Maréchal, N., & Biddl, E. R. (2020). It’s Not Just the Content, It’s the Business Model: Democracy’s Çevrim içi Speech Challenge. New America, 1–53.
  28. Marsden, C., & Meyer, T. (2019). Regulating disinformation with artificial intelligence: effects of disinformation initiatives on freedom of expression and media pluralism. Içinde Panel for the Future of Science and Technology European Science-Media Hub (Sayı March).
  29. McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence.
  30. Meyerson, E. (2012). YouTube Now: Neden İzlenme Süresine Odaklanıyoruz. https://blog.youtube/news-and-events/youtube-now-why-we-focus-on-watch-time/
  31. Murphy, G., & Flynn, E. (2022). Deepfake false memories. Memory, 30(4), 480–492. https://doi.org/10.1080/09658211.2021.1919715
  32. Newman, N., Fletcher, R., Schulz, A., Andi, S., Robertson, C. T., & Nielsen, R. K. (2023). Reuters Institute Digital News Report. Reuters Institute for the study of Journalism, 1–160.
  33. Nuñez, F. (2020). Disinformation Legislation and Freedom of Expression. UC Irvine Law Review, 10(2), 784–797.
  34. Partnership on AI. (2020). The Deepfake Detection Challenge: Insights and Recommendations for AI and Media Integrity. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://partnershiponai.org/wp-content/uploads/2021/07/671004_Format-Report-for-PDF_031120-1.pdf
  35. Perrigo, B. (2019). The World Wide Web Turns 30 Today. Here’s How Its Inventor Thinks We Can Fix It. Time. https://time.com/5549635/tim-berners-lee-interview-web/
  36. Rundle, M. & Conley, C. (2007). Ethical Implications of Emerging Technologies: A Survey. https://unesdoc.unesco.org/ark:/48223/pf0000149992
  37. Sankin, A. (2020). Want to Find a Misinformed Public? Facebook’s Already Done It. The Markup.
  38. Shrestha, Y. R., Ben-Menahem, S. M., & von Krogh, G. (2019). Organizational Decision-Making Structures in the Age of Artificial Intelligence. California Management Review, 61(4), 66–83. https://doi.org/10.1177/0008125619862257
  39. Surden, H. (2019). Artificial intelligence and law: An overview. Georgia State University Law Review, 35(4), 1304–1337.
  40. Toplum Standartları Uygulama Raporu. (2024). Community Standards Enforcement Report. https://transparency.facebook.com/community-standards-enforcement#fake-accounts
  41. Varol, O., Ferrara, E., Davis, C. A., Menczer, F., & Flammini, A. (2017). Çevrim içi human-bot interactions: Detection, estimation, and characterization. Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017, 280–289. https://doi.org/10.1609/icwsm.v11i1.14871
  42. Volger, H. (2010). Human Rights Council. Içinde A Concise Encyclopedia of the United Nations (ss. 329–336). https://doi.org/10.1163/ej.9789004180048.i-962.273
  43. Walorska, A. M. (2020). Deepfakes & Disinformation Analysis.
  44. Wang, Y., & Alshboul, Y. (2015). Mobile security testing approaches and challenges. 2015 1st Conference on Mobile and Secure Services, MOBISECSERV 2015, February 2015. https://doi.org/10.1109/MOBISECSERV.2015.7072880
  45. Wright, R. (1997). The Man Who Invented The Web. Time Magazine, 149(20), ?? http://search.proquest.com.biblioteca.uniandes.edu.co:8080/docview/217285729/abstract/139E9055DA87AA7EF4E/21?accountid=34489
  46. Yu, P., Xia, Z., Fei, J., & Lu, Y. (2021). A Survey on Deepfake Video Detection. IET Biometrics, 10(6), 607–624. https://doi.org/10.1049/bme2.12031
  47. Zago, M., & Nespoli, P. (2020). ITASEC20 – Presentation of Screening Out Social Bots Interference: Are There Any Silver Bullets. February. https://doi.org/10.13140/RG.2.2.32173.92649
  48. Zhang, T. (2022). Deepfake generation and detection, a survey. Multimedia Tools and Applications, 81(5), 6259–6276. https://doi.org/10.1007/s11042-021-11733-y
  49. Chesney, B., & Citron, D. (2019). Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. California Law Review, 107, 1753–1820.
  50. Keller, I., & Público, D. (2021). Don’t Shoot the Message: Regulating Disinformation Beyond Content Assunto Especial Dossiê – Democracia, Fake News e Eleições Don ’ t Shoot the Message: Regulating Disinformation Beyond Content.