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Yapay Zekâ ile Üretilmiş Yanlış Bilgi ve Dezenformasyonun Ekonomi Üzerine Etkileri

Year 2024, Volume: 12 Issue: 4, 2349 - 2360, 23.10.2024
https://doi.org/10.29130/dubited.1537268

Abstract

Bu çalışma, Dünya Ekonomik Forumu'nun yakın vadede küresel istikrara yönelik en önemli tehdit olarak tanımladığı Yapay Zekâ (YZ) kaynaklı yanlış bilgi/dezenformasyonun ekonomi üzerindeki potansiyel sonuçlarını araştırmaktadır. Yanlış ve/veya sahte bilginin ekonomi üzerindeki etkilerini belirlemek için, bu çalışma çerçevesinde detay, bağlam ve anlam açısından zengin bilgi toplamayı ve analiz etmeyi içeren nitel araştırma yöntemi tercih edilmiş ve YZ kaynaklı yanlış/yanıltıcı bilginin potansiyel etkileri ve sonuçlarına ilişkin şu çıkarımlar ve tespitler yapılmıştır: Yanlış/yanıltıcı bilgi, tüketici güvenine ciddi şekilde zarar vererek gelirlerin azalmasına ve işletmelerin itibarlarının zedelenmesine yol açabilmektedir. Sahte haberler ve yorumlar, tüketicilerin kararlarını etkileyerek markalara zarar verebilmekte ve kriz yönetimi çabaları ile azalan tüketici sadakati sonucunu doğurabilmektedir. Finansal piyasalarda, yanlış bilgilendirme yatırımcılar arasında farklı görüşler oluşturarak piyasa dalgalanmalarına yol açabilmektedir. Tedarik zincirlerinde ise, yanlış bilginin yayılması operasyonları aksatabilmekte ve önemli ekonomik sonuçlar doğurabilmektedir. YZ destekli dezenformasyon, potansiyel olarak siyasi istikrarı ve ekonomik politikaları etkileyerek ek riskler oluşturabilmektedir. YZ teknolojisi ilerledikçe, ülkeler, özellikle küçük işletmeler için uyum maliyetlerini artırabilecek Avrupa Birliği YZ Yasası gibi katı düzenlemeler uygulamaktadır. Bu çalışma, YZ'nin potansiyel olumsuz etkilerini araştırarak, YZ'nin ekonomi üzerindeki etkisinin karmaşık ve çok yönlü doğası hakkında artan farkındalığa katkıda bulunmayı amaçladığı için önemli olarak değerlendirilebilecektir.

References

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  • [17] C. Monzer, J. Moeller, N. Helberger, S. Eskens, “User perspectives on the news personalisation process: agency, trust and utility as building blocks,” Digital Journalism, vol. 8, no.9, pp. 1142–1162, 2020.
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  • [25] M.R. Shoaib, Z. Wang, M.T. Ahvanooey, J. Zhao, “Deepfakes, misinformation, and disinformation in the era of frontier AI, generative AI, and large AI models,” arXiv .2311.17394, 2023.
  • [26] J. Zhou, Y. Zhang, Q. Luo, A.G. Parker, M. De Choudhury, “Synthetic lies: Understanding AI-generated misinformation and evaluating algorithmic and human solutions.” In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, vol. 436, pp. 1–20, 2023.
  • [27] S. Vosoughi, D. Roy, S. Aral, “The spread of true and false news online,” Science, vol. 359, no. 6380, pp. 1146-1151, 2018.
  • [28] H. Allcott, M. Gentzkow, “Social media and fake news in the 2016 election,” Journal of Economic Perspectives, vol. 31, no. 2, pp.211–236, 2017.
  • [29] B. Earl, T. McGivan, “Generative AI and misinformation: Implications for business,” Collective Intelligence, 2024.
  • [30] J. Clarke, H. Chen, D. Du, Y.J. Hu, “Fake news, investor attention, and market reaction,” Information Systems Research, vol. 32, no. 1, 2020.
  • [31] P.N.Petratos, A. Faccia, “Fake news, misinformation, disinformation and supply chain risks and disruptions: risk management and resilience using blockchain,” Ann Oper Res,, vol. 327, pp. 735–762, 2023.
  • [32] M.C. Arcuri, G. Gandolfi, I. Russo, “Does fake news impact stock returns? Evidence from US and EU stock markets,” Journal of Economics and Business, pp. 125–126, 2023.
  • [33] G. Di Domenico, Y. Ding, “Between brand attacks and broader narratives: How direct and indirect misinformation erode consumer trust,” Current Opinion in Psychology, vol. 54, no. 101716, 2024.
  • [34] T. Madiega, “Artificial intelligence act.” European Parliamentary Research Service, Briefing, PE 698.79, vol.2, 2024.

Effects of AI-Generated Misinformation and Disinformation on the Economy

Year 2024, Volume: 12 Issue: 4, 2349 - 2360, 23.10.2024
https://doi.org/10.29130/dubited.1537268

Abstract

This study investigates the potential consequences of AI-driven misinformation/disinformation on the economy, which the World Economic Forum has identified as the most significant threat to global stability in the near term. To determine the effects of false and/or fake information on the economy, qualitative research method which involves collecting and analyzing information that is rich in detail, context, and meaning was preferred within the framework of this study, and the following inferences and conclusions were drawn regarding the potential implications and consequences of AI-generated mis/disinformation. Mis/disinformation can severely damage consumer trust, leading to reduced revenue and tarnished reputations for businesses. Fake news and reviews can harm consumers by influencing their decisions and can damage brands, resulting in crisis management efforts and decreased consumer loyalty. In financial markets, dis/misinformation can create divergent opinions among investors, leading to market volatility. Within supply chains, the spread of false information can disrupt operations and have significant economic consequences. AI-driven disinformation can pose additional risks, potentially affecting political stability and economic policies. As AI technology advances, countries are implementing stricter regulations, such as the EU AI Act, which may increase compliance costs, particularly for smaller businesses. This study can be considered important as it aims to contribute to a growing awareness of the complex and multifaceted nature of the impact of AI on the economy by investigating the potential negative effects of AI.

References

  • [1] Z. Karaş, “Turizm ve seyahat sektörlerindeki yapay zekâ uygulamalarının negatif sosyo- ekonomik etkileri,” Journal of Gastronomy, Hospitality and Travel, vol. 7, no.1, pp. 135-146, 2024.
  • [2] M. Anderljung, J. Hazell, “Protecting society from AI misuse: When are restrictions on capabilities warranted?,” ArXiv, abs/2303.09377, 2023.
  • [3] L. Pöhler,V. Schrader, A. Ladwein, F. Keller, “A technological perspective on misuse of available AI,” 10.48550/arXiv.2403.15325, 2018.
  • [4] T. Slapczynski, “Artificial Intelligence in science and everyday life, its application and development prospects,” ASEJ Scientific Journal of Bielsko-Biala School of Finance and Law, vol. 26, no. 4 , pp. 78-85, 2022.
  • [5] F.M. Simon, S. Altay, H. Mercier, “Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown,” In Harvard Kennedy School Misinformation Review, vol. 4, no. 5, 2023.
  • [6] M. Hameleers, “The (un)intended consequences of emphasizing the threats of mis- and disinformation,” Media and Communication, vol. 11, no. 2, pp. 5–14, 2023.
  • [7] WEF, “The global risks report 2024,” World Economic Forum, 19th Edition, Insight Report, January 2024.
  • [8] G.Leonhard, Technology vs. humanity. Fast Future Publishing, 2016.
  • [9] M.Soliman, T. Fatnassi, I. Elgammal, R. Figueiredo, “Exploring the major trends and emerging themes of artificial intelligence in the scientific leading journals amidst the COVID-19 era,” Big Data Cognitive Computing, vol. 7, no. 12, 2023.
  • [10] P. Aghion, B.F. Jones, C.I. Jones, “Artificial intelligence and economic growth.” National Bureau of Economic Research Working Paper Series, vol. 23928, pp.1-55, 2017.
  • [11] J.S. Jeena, P. Gururani, “Artificial intelligence and its application,” International Journal on Emerging Technologies (Special Issue NCETST-2017), vol. 8, no. 1, pp. 551-553, 2017.
  • [12] I.H. Sarker, “AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems.” SN COMPUT. SCI, vol. 3, no. 158, 2022.
  • [13] A. Haleem, M. Javaid, A.M. Qadri, R.P. Singh, R. Suman, “Artificial intelligence (AI) applications for marketing: A literature-based study.” International Journal of Intelligent Networks, vol. 3, pp. 119-132, 2022.
  • [14] B. Neuhofer, B. Magnus, K. Celuch, K, “The impact of artificial intelligence on event experiences: a scenario technique approach,” Electron. Mark., vol.31, no. 3, pp. 601–617, 2021.
  • [15] R. Zaripova, V. Kosulin, M. Shkinderov I. Rakhmatullin, “Unlocking the potential of artificial intelligence for big data analytics.” E3S Web of Conferences, vol. 460, no. 04011, 2023.
  • [16] Y. Lin, J. Ma, “On automatic text extractive summarization based on graph and pre-trained language model attention,” arXiv:2110.04878, 2021.
  • [17] C. Monzer, J. Moeller, N. Helberger, S. Eskens, “User perspectives on the news personalisation process: agency, trust and utility as building blocks,” Digital Journalism, vol. 8, no.9, pp. 1142–1162, 2020.
  • [18] S. Lewandowsky, U.K.H. Ecker, J. Cook, “Beyond misinformation: Understanding and coping with the “post-truth” era,” Journal of Applied Research in Memory and Cognition, vol. 6, no. 4, pp. 353–369, 2017.
  • [19] C. Xifeng, W. Han, “The impact of artificial intelligence on information dissemination mechanisms—bibliometric analysis based on CiteSpace,” Applied Science and Innovative Research, 2022.
  • [20] K. Kertysova, “Artificial intelligence and disinformation,” Security and Human Rights. vol. 29, no.1-4, pp. 55-81, 2018.
  • [21] A. Steimers, M. Schneider, “ Sources of risk of AI systems.” Int J Environ Res Public Health, 19(6), 2022.
  • [22] D. Trandabat, D. Gifu, ”Discriminating AI-generated fake news,” Procedia Computer Science, vol. 225, pp. 3822-3831, 2023.
  • [23] F. Chiarello, V. Giordano, I. Spada, S. Barandoni, G. Fantoni, “Future applications of generative large language models: A data-driven case study on ChatGPT,” Technovlewation, vol. 133, no. 103002, 2024.
  • [24] J. Endert, “Generative AI is the ultimate disinformation amplifier,” DW Akademie, 2024.
  • [25] M.R. Shoaib, Z. Wang, M.T. Ahvanooey, J. Zhao, “Deepfakes, misinformation, and disinformation in the era of frontier AI, generative AI, and large AI models,” arXiv .2311.17394, 2023.
  • [26] J. Zhou, Y. Zhang, Q. Luo, A.G. Parker, M. De Choudhury, “Synthetic lies: Understanding AI-generated misinformation and evaluating algorithmic and human solutions.” In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, vol. 436, pp. 1–20, 2023.
  • [27] S. Vosoughi, D. Roy, S. Aral, “The spread of true and false news online,” Science, vol. 359, no. 6380, pp. 1146-1151, 2018.
  • [28] H. Allcott, M. Gentzkow, “Social media and fake news in the 2016 election,” Journal of Economic Perspectives, vol. 31, no. 2, pp.211–236, 2017.
  • [29] B. Earl, T. McGivan, “Generative AI and misinformation: Implications for business,” Collective Intelligence, 2024.
  • [30] J. Clarke, H. Chen, D. Du, Y.J. Hu, “Fake news, investor attention, and market reaction,” Information Systems Research, vol. 32, no. 1, 2020.
  • [31] P.N.Petratos, A. Faccia, “Fake news, misinformation, disinformation and supply chain risks and disruptions: risk management and resilience using blockchain,” Ann Oper Res,, vol. 327, pp. 735–762, 2023.
  • [32] M.C. Arcuri, G. Gandolfi, I. Russo, “Does fake news impact stock returns? Evidence from US and EU stock markets,” Journal of Economics and Business, pp. 125–126, 2023.
  • [33] G. Di Domenico, Y. Ding, “Between brand attacks and broader narratives: How direct and indirect misinformation erode consumer trust,” Current Opinion in Psychology, vol. 54, no. 101716, 2024.
  • [34] T. Madiega, “Artificial intelligence act.” European Parliamentary Research Service, Briefing, PE 698.79, vol.2, 2024.
There are 34 citations in total.

Details

Primary Language English
Subjects Context Learning, Machine Learning (Other)
Journal Section Articles
Authors

Zeynep Karaş 0009-0008-1394-0559

Publication Date October 23, 2024
Submission Date August 22, 2024
Acceptance Date September 21, 2024
Published in Issue Year 2024 Volume: 12 Issue: 4

Cite

APA Karaş, Z. (2024). Effects of AI-Generated Misinformation and Disinformation on the Economy. Duzce University Journal of Science and Technology, 12(4), 2349-2360. https://doi.org/10.29130/dubited.1537268
AMA Karaş Z. Effects of AI-Generated Misinformation and Disinformation on the Economy. DUBİTED. October 2024;12(4):2349-2360. doi:10.29130/dubited.1537268
Chicago Karaş, Zeynep. “Effects of AI-Generated Misinformation and Disinformation on the Economy”. Duzce University Journal of Science and Technology 12, no. 4 (October 2024): 2349-60. https://doi.org/10.29130/dubited.1537268.
EndNote Karaş Z (October 1, 2024) Effects of AI-Generated Misinformation and Disinformation on the Economy. Duzce University Journal of Science and Technology 12 4 2349–2360.
IEEE Z. Karaş, “Effects of AI-Generated Misinformation and Disinformation on the Economy”, DUBİTED, vol. 12, no. 4, pp. 2349–2360, 2024, doi: 10.29130/dubited.1537268.
ISNAD Karaş, Zeynep. “Effects of AI-Generated Misinformation and Disinformation on the Economy”. Duzce University Journal of Science and Technology 12/4 (October 2024), 2349-2360. https://doi.org/10.29130/dubited.1537268.
JAMA Karaş Z. Effects of AI-Generated Misinformation and Disinformation on the Economy. DUBİTED. 2024;12:2349–2360.
MLA Karaş, Zeynep. “Effects of AI-Generated Misinformation and Disinformation on the Economy”. Duzce University Journal of Science and Technology, vol. 12, no. 4, 2024, pp. 2349-60, doi:10.29130/dubited.1537268.
Vancouver Karaş Z. Effects of AI-Generated Misinformation and Disinformation on the Economy. DUBİTED. 2024;12(4):2349-60.