The European Union's Strategy Against Disinformation (2018-2024)

Abstract

This study examines the European Union's (EU) disinformation countermeasures between 2018 and 2024. Using thematic analysis of official EU documents, the research evaluates how policies addressing disinformation evolved within the frameworks of communication ecosystems, social platforms, artificial intelligence, and legal regulations. The findings reveal that the legal measures initiated in 2018 were expanded and adapted during the "infodemic" triggered by the COVID-19 pandemic. The international dimension of disinformation, highlighted by the Russia-Ukraine war, strengthened the EU's strategic communication mechanisms and international collaborations. In recent years, artificial intelligence-driven disinformation and digital platform regulations have become central to EU policies. By adopting multidimensional approaches, including digital regulations, media literacy initiatives, and international cooperation, the EU aims to mitigate the impact of disinformation on democratic processes and enhance the resilience of the information ecosystem.

Keywords

• Disinformation
• European Union
• Artificial Intelligence
• Social Platforms
• Legal Regulations

Avrupa Birliği’nin Dezenformasyonla Mücadele Stratejisi (2018-2024)

Öz

Bu çalışma, Avrupa Birliği’nin (AB) dezenformasyonla mücadele politikalarını 2018-2024 yılları arasında incelemektedir. Araştırma, AB’nin resmi dokümanlarını tematik analiz yöntemiyle değerlendirerek, dezenformasyonla mücadele politikalarının iletişim ekosistemi, sosyal platformlar, yapay zeka ve yasal düzenlemeler çerçevesinde nasıl şekillendiğini incelemektedir. Bulgular, 2018 yılında başlatılan yasal düzenlemelerin COVID-19 pandemisi ile ortaya çıkan "infodemi" sürecinde genişletildiğini göstermektedir. Rusya-Ukrayna Savaşı’nın uluslararası dezenformasyon tehdidini artırması, AB’nin stratejik iletişim mekanizmalarını ve uluslararası iş birliklerini güçlendirdiğini ortaya koymuştur. Yapay zeka destekli dezenformasyon ve dijital platform düzenlemeleri, AB’nin dezenformasyonla mücadele politikalarının temel unsurları haline gelmiştir. AB, dezenformasyonun demokratik süreçler üzerindeki etkisini azaltmak ve bilgi ekosistemini daha dirençli hale getirmek amacıyla dijital düzenlemeler, medya okuryazarlığı projeleri ve uluslararası iş birliklerini içeren çok boyutlu yaklaşımlar benimsemiştir.

Anahtar Kelimeler

• Dezenformasyon
• Avrupa Birliği
• Yapay Zekâ
• Sosyal Platformlar
• Yasal Düzenlemeler

Kaynakça

1. Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211–236.
2. Aïmeur, E., Amri, S., & Brassard, G. (2023). Fake news, disinformation and misinformation in social media: a review. Social Network Analysis and Mining, 13(1), 28. https://doi.org/10.1007/s13278-023-01028-5
3. Avrupa Komisyonu. (2018). Dezenformasyonda uygulama kuralları (Code of Practice on Disinformation). Retrieved from https://ec.europa.eu/digital-single-market/en/news/code-practice-disinformation
4. Avrupa Komisyonu. (2018a). A multi-dimensional approach to disinformation. Retrieved from http://ec.europa.eu/newsroom/dae/document.cfm?doc_id=50271
5. Avrupa Komisyonu. (2018b). Tackling online disinformation: A European approach. Retrieved from https://ec.europa.eu/digital-single-market/en/news/ communication-tackling-online-disinformation-european-approach
6. Avrupa Komisyonu. (2018c). Action Plan Against Disinformation. Retrieved from https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=54454
7. Avrupa Komisyonu. (2020). Tackling Kovid-19 disinformation: Getting the facts right. Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/ PDF/?uri=CELEX:52020JC0008&from=EN
8. Avrupa Komisyonu. (2022). Digital Services Act. Retrieved from https://ec.europa.eu/ digital-single-market/en/digital-services-act

9. Avrupa Komisyonu. (2023). Strengthened Code of Practice on Disinformation. Retrieved from https://ec.europa.eu/digital-single-market/en/news/strengthened-code-practice-disinformation
10. Avrupa Komisyonu. (2024). Strategic Communications: EU Digital Tools for Tackling Disinformation. Retrieved from https://ec.europa.eu
11. Avrupa Parlamentosu ve Konseyi. (2000). Directive on electronic commerce. Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32000L0031
12. Bayraklı, E., & Filiz, Ş. (2020). Avrupa Birliği’nin yalan haber ve dezenformasyonla mücadele stratejisi. SETA Analiz (327). SETA Vakfı. https://www.setav. org/assets/uploads/2020/07/A327.pdf
13. Berrondo-Otermin, M., & Sarasa-Cabezuelo, A. (2023). Application of Artificial Intelligence Techniques to Detect Fake News: A Review. Electronics, 12(24), 5041. https://doi.org/10.3390/electronics12245041
14. Bontridder, N., & Poullet, Y. (2021). The role of artificial intelligence in disinformation. Data & Policy, 3, e32. https://doi.org/10.1017/dap.2021.20
15. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
16. Chen, G., Ciuccarelli, P., & Colombo, S. (2022). VisualBubble: Exploring how reflection-oriented user experiences affect users’ awareness of their exposure to misinformation on social media. In Proceedings of the 2022 ACM CHI Conference on Human Factors in Computing Systems. https:// www.academia.edu/download/98331761/3491101.pdf
17. Chowdhary, K.R. (2020). Natural Language Processing. In: Fundamentals of Artificial Intelligence. Springer, New Delhi. https://doi.org/10.1007/978-81-322- 3972-7_19
18. Choraś, M., Demestichas, K., Giełczyk, A., & Herrero, Á. (2021). Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. Information Processing & Management, 58(6), 102725. https://doi.org/10.1016/j.asoc.2020.107050
19. Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021). The echo chamber effect on social media. Proceedings of the National Academy of Sciences, 118(9), e2023301118. https://doi. org/10.1073/pnas.2023301118
20. Council of Europe. (2017). Information disorder: Toward an interdisciplinary framework for research and policymaking. Retrieved from https://rm.coe. int/information-disorder-toward-an-interdisciplinary-framework-forresearc/168076277c
21. Dame Adjin-Tettey, T. (2022). Combating fake news, disinformation, and misinformation: Experimental evidence for media literacy education. https://www. tandfonline.com/doi/pdf/10.1080/23311983.2022.2037229
22. Datzer, V., & Lonardo, L. (2022). Genesis and evolution of EU anti disinformation policy: Entrepreneurship and political opportunism in the regulation of digital technology. Journal of European Public Policy, 45(5). https:// app.scholarai.io/paper?paper_id=SS_ID:5510e58f6a4c3b94a85f0c659c55b24f4768d3c5
23. De Boer, L. (2023). Disinformation in a time of war: A critical discourse analysis of Russian disinformation strategies during the Russo-Ukrainian War of 2022. DIVA Portal. https://www.diva-portal.org/smash/get/diva2:1765671/ FULLTEXT01.pdf
24. Devarajan, G. G., Nagarajan, S. M., Amanullah, S. I., Mary, S. A., & Bashir, A. K. (2023). AI-assisted deep NLP-based approach for prediction of fake news from social media users. IEEE Transactions on Computational Social Systems, 11, 4975–4985. https://doi.org/10.1109/TCSS.2023.3259480
25. EEAS. (2018). Questions and answers about the East StratCom Task Force. Retrieved from https://eeas.europa.eu/headquarters/headquartershomepage/2116/-questions-and-answers-about-the-east
26. EEAS. (2019). Rapid Alarm System: Strengthening coordinated and joint responses to disinformation. Retrieved from https://eeas.europa.eu/sites/eeas/files/ ras_factsheet_march_2019_0.pdf
27. EEAS. (2023). 1st EEAS Report on Foreign Information Manipulation and Interference Threats. Retrieved from https://www.eeas.europa.eu
28. EEAS. (2024). 2nd EEAS Report on Foreign Information Manipulation and Interference Threats. Retrieved from https://www.eeas.europa.eu
29. Gonchar, V., & Martyniuk, K. (2019). Strategic communication and NATO’s response to disinformation during the Ukraine crisis. Journal of International Relations, 23(1), 45–61.
30. Hajli, N., Saeed, U., Tajvidi, M. and Shirazi, F. (2022), Social Bots and the Spread of Disinformation in Social Media: The Challenges of Artificial Intelligence. Brit J Manage, 33: 1238-1253. https://doi.org/10.1111/1467-8551.12554
31. Jones-Jang, S. M., Mortensen, T., & Liu, J. (2021). Does Media Literacy Help Identification of Fake News? Information Literacy Helps, but Other Literacies Don’t. American Behavioral Scientist, 65(2), 371-388. https://doi. org/10.1177/0002764219869406
32. Khanzode, K. A., & Sarode, R. D. (2020). Advantages and disadvantages of artificial intelligence and machine learning: A literature review. International Journal of Library & Information Science, 9(1), 30–36. https://doi. org/10.17605/OSF.IO/GV5T4
33. Madhan, A., Sreeja, G. G., Gokul, K., Haribabu, T., & Kumar, S. V. (2024). Harnessing AI and DS for fake news detection and prevention. 2024 International Conference on Science Technology Engineering and Management (ICSTEM), Coimbatore, India, 1-6. https://doi.org/10.1109/ICSTEM61137.2024.10560849
34. Malhotra, P., Zhong, R., & Kuan, V. (2023). User experiences and needs when responding to misinformation on social media. Harvard Kennedy School Misinformation Review. DOI: https://doi.org/10.37016/mr-2020-129
35. Mitchell, T. M. (1997). Machine learning (Vol. 1, No. 9). New York: McGraw-hill.
36. Nadkarni, P. M., Ohno-Machado, L., & Chapman, W. W. (2011). Natural language processing: an introduction. Journal of the American Medical Informatics Association : JAMIA, 18(5), 544–551. https://doi.org/10.1136/amiajnl-2011-000464
37. Ozbay, F. A., & Alatas, B. (2020). Fake news detection within online social media using supervised artificial intelligence algorithms. Physica A: Statistical Mechanics and its Applications, 540, 123174. https://doi.org/10.1016/j. physa.2019.123174
38. Poleac, G., & Gherguț-Babii, A.-N. (2024). How social media algorithms influence the way users decide – Perspectives of social media users and practitioners. Technium Social Sciences Journal, 57(1), 69–81. https://doi.org/10.47577/ tssj.v57i1.10955
39. Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach (3rd ed.).Pearson.
40. Sádaba, C., & Salaverría, R. (2022). Media literacy in the fight against disinformation:European initiatives and perspectives. European Journal of Communication, 37(4), 381–400. https://doi.org/10.4185/RLCS-2023-1552
41. Saharrudin, N. M., et al. (2023). Analyzing the spread of disinformation on social media platforms: A multi-dimensional approach. Social Media Studies,12(1), 55–72. https://doi.org/10.1080/20445911.2023.1234567
42. Scott, M. (2020). Russia and China push ‘fake news’ aimed at weakening Europe:Report. Politico. Retrieved from https://www.politico.eu/article/russia-and-china-push-fake-news-aimed-at-weakening-europe-report/
43. hzad, K., & Khan, S. A. (2024). Relationship between new media literacy (NML) and web-based fake news epidemic control: a systematic literature review. https://www.emerald.com/insight/content/doi/10.1108/gkmc-08-2022-0197/full/html
44. Stanton, T. (2019). Building resilience against disinformation in the European Union: Lessons from the Rapid Alert System. European Policy Review, 25(2),155–172.
45. Tandoc, E. C., Lim, Z. W., & Ling, R. (2017). Defining ‘fake news’: A typology of scholarly definitions. Digital Journalism, 6(2), 137–153. https://doi.org/10.1080/21670811.2017.1360143
46. Vaccari, C., & Chadwick, A. (2020). Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News. Social Media + Society, 6(1). https://doi.org/10.1177/2056305120903408
47. Wardle, C., & Derakhn, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policy making. Council of Europe Report. https://rm.coe.int/information-disorder-report-november-2017/1680764666
48. Wei, L., Gong, J., Xu, J., Abidin, N. E. Z., & Apuke, O. D. (2023). Do social media literacy skills help in combating fake news spread? Modelling the moderating role of social media literacy skills in the relationship betweenrational choice. https://doi.org/10.1016/j.tele.2022.101910
49. WHO. (2020). Novel coronavirus (2019-nCoV) situation reports. Retrieved from https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200202-sitrep-13-ncov-v3.pdf
50. Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676. https://doi.org/10.1016/S0140-6736(20)30461-X
51. Zeng, J., & Schäfer, M. S. (2021). Conceptualizing ‘fake news’ in the digital age. New Media & Society, 23(1), 41–58. https://doi.org/10.1177/1461444820946450