Bibliographie : IA et désinformation
Les références de la conférence « IA et désinformation, entre peur et espoir », onze études de 2021 à 2026.
Al-kfairy, M., Mustafa, D., Kshetri, N., Insiew, M., & Alfandi, O. (2024). Ethical challenges and solutions of generative AI: An interdisciplinary perspective. Informatics, 11(3), Article 58. https://doi.org/10.3390/informatics11030058
Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., DiResta, R., Ferrara, E., Hale, S., Halevy, A., Hovy, E., Ji, H., Menczer, F., Miguez, R., Nakov, P., Scheufele, D., Sharma, S., & Zagni, G. (2024). Factuality challenges in the era of large language models and opportunities for fact-checking. Nature Machine Intelligence, 6(8), 852–863. https://doi.org/10.1038/s42256-024-00881-z
Boediman, E. P. (2025). Exploring the impact of deepfake technology on public trust and media manipulation: A scoping review. Jurnal Komunikasi, 19(2), 313–334. https://doi.org/10.20885/komunikasi.vol19.iss2.art8
Boissin, E., Costello, T. H., Spinoza-Martín, D., Rand, D. G., & Pennycook, G. (2025). Dialogues with large language models reduce conspiracy beliefs even when the AI is perceived as human. PNAS Nexus, 4(11), Article pgaf325. https://doi.org/10.1093/pnasnexus/pgaf325
Bontridder, N., & Poullet, Y. (2021). The role of artificial intelligence in disinformation. Data & Policy, 3, Article e32. https://doi.org/10.1017/dap.2021.20
Consensus. (2026, 18 avril). AI’s impact on misinformation, disinformation, fake news, and conspiracy theories [Synthèse de littérature générée par IA]. Consensus. https://consensus.app
Costello, T. H., Pennycook, G., & Rand, D. G. (2024). Durably reducing conspiracy beliefs through dialogues with AI. Science, 385(6714), Article eadq1814. https://doi.org/10.1126/science.adq1814
Lundberg, E., & Mozelius, P. (2025). The potential effects of deepfakes on news media and entertainment. AI & Society, 40, 2159–2170. https://doi.org/10.1007/s00146-024-02072-1
Odunlami, O. A., & Banjo, O. A. (2025). Deepfakes and the crisis of trust: Public perception of media authenticity in the age of synthetic content. Nigerian Journal for Technical Education, 24(2).
Pilati, F., & Venturini, T. (2025). The use of artificial intelligence in counter-disinformation: A world wide (web) mapping. Frontiers in Political Science, 7, Article 1517726. https://doi.org/10.3389/fpos.2025.1517726
Romanishyn, A., Malytska, O., & Goncharuk, V. (2025). AI-driven disinformation: Policy recommendations for democratic resilience. Frontiers in Artificial Intelligence, 8, Article 1569115. https://doi.org/10.3389/frai.2025.1569115
Saeidnia, H. R., Hosseini, E., Lund, B., Alipour Tehrani, M., Zaker, S., & Molaei, S. (2025). Artificial intelligence in the battle against disinformation and misinformation: A systematic review of challenges and approaches. Knowledge and Information Systems, 67, 3139–3158. https://doi.org/10.1007/s10115-024-02337-7
Shah, S. B., Thapa, S., Acharya, A., Rauniyar, K., Poudel, S., Jain, S., Masood, A., & Naseem, U. (2024). Navigating the web of disinformation and misinformation: Large language models as double-edged swords. IEEE Access, 12, 169262–169282. https://doi.org/10.1109/ACCESS.2024.3406644
Shoaib, M. R., Wang, Z., Ahvanooey, M. T., & Zhao, J. (2023). Deepfakes, misinformation, and disinformation in the era of frontier AI, generative AI, and large AI models. 2023 IEEE International Conference on Computer Applications (ICCA), 1–7. https://doi.org/10.48550/arXiv.2311.17394
Simchon, A., Edwards, M., & Lewandowsky, S. (2024). The persuasive effects of political microtargeting in the age of generative artificial intelligence. PNAS Nexus, 3(2), Article pgae035. https://doi.org/10.1093/pnasnexus/pgae035
Williams-Ceci, S., Jakesch, M., Bhat, A., Kadoma, K., Zalmanson, L., & Naaman, M. (2026). Biased AI writing assistants shift users’ attitudes on societal issues. Science Advances, 12, Article eadw5578. https://doi.org/10.1126/sciadv.adw5578