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Using Artificial Intelligence to Detect and Mitigate Fake News | ||
| Al-Noor Journal for Digital Media Studies | ||
| Article 4, Volume 2, Issue 2 - Serial Number 1, October 2025, Pages 39-47 PDF (285.63 K) | ||
| Document Type: Original Article | ||
| DOI: 10.69513/jndm.v2.i2.a4 | ||
| Authors | ||
| Alexandra М. Kasimova* ; Ekaterina S. Kozlovskaya | ||
| RUDN University, Miklukho-Maklaya str., 6, Moscow, 117198, Russia | ||
| Abstract | ||
| The article examines the role of Artificial Intelligence (AI) in combating fake news, exploring its methods, successful applications, and key benefits. AI technologies, such as machine learning and natural language processing, enable the rapid detection of false information by analyzing patterns and inconsistencies in large datasets. Examples of successful AI implementation include social media platforms like Facebook and Twitter, which use algorithms to identify and flag misleading content. The advantages of AI lie in its speed, scalability, and ability to process information in real time, making it a critical tool in the fight against disinformation. However, the article also highlights the technical, ethical, and social risks associated with AI. Technical challenges include algorithmic bias and the difficulty of detecting sophisticated deepfakes. Ethical concerns revolve around privacy, censorship, and the potential misuse of AI for propaganda. Social risks involve the erosion of trust in media and the exacerbation of polarization. To address these challenges, the article emphasizes the need for an interdisciplinary approach, combining expertise in technology, ethics, law, and social sciences to develop robust information verification systems. The study concludes that while AI is a powerful tool for countering fake news, it also poses significant risks if not properly regulated. To maximize its benefits, strict control, transparency, and adherence to ethical standards are essential. Recommendations include fostering collaboration between technologists, policymakers, and ethicists to create frameworks that ensure responsible AI use. Additionally, promoting media literacy among the public can help mitigate the impact of disinformation. The future of AI in this field depends on balancing innovation with accountability, ensuring that AI contributes positively to the information landscape. In summary, AI has the potential to revolutionize the fight against fake news, but its application must be carefully managed to avoid unintended consequences. By addressing technical limitations, ethical concerns, and social risks, and by adopting an interdisciplinary approach, society can harness the power of AI to create a more informed and resilient information ecosystem. | ||
| Keywords | ||
| artificial intelligence; fake news; information; verification; deepfake; media literacy; machine learning algorithms; transparency; ethics; technology regulation | ||
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