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Media literacy and mechanisms for verifying AI-generated images | ||
| Al-Noor Journal for Digital Media Studies | ||
| Article 2, Volume 2, Issue 1, April 2025, Pages 19-33 PDF (385.45 K) | ||
| Document Type: Original Article | ||
| DOI: 10.69513/jndm.v2.i1.a2 | ||
| Authors | ||
| Haneen Saad Salman; Farid Saleh Fayyad | ||
| Tikrit University, College of arts, Republic of Iraq | ||
| Abstract | ||
| In today’s world, we are inundated with fake content, particularly with the proliferation of social media, which has contributed to the spread of various forms of deception. Among these, AI-generated images have become increasingly prevalent. Therefore, it has become imperative to activate the role of media literacy to counter the risks posed by AI-generated images. Media literacy enhances the audience’s ability to think critically when consuming media content, enabling them to analyze images more consciously and thus determine their authenticity. Media literacy also encourages individuals to take responsibility when sharing images and content online, thereby reducing the spread of misinformation. It empowers individuals to distinguish between genuine and fake content circulating on social media. Media literacy focuses on training the users to use tools and techniques to verify images in general and AI-generated images in particular. It raises awareness about the signs that may indicate an image is AI-generated, such as distortions in the image, illogical details… etc. The study primarily focuses on the risks associated with AIgenerated images, such as the spread of misinformation, the creation of ideal beauty standards, biases, and violations of intellectual property rights, among others. The study also emphasizes the mechanisms for verifying these images, employing various methods to determine the origin of the image, such as visual verification, search engine verification, and watermark tracking. | ||
| Keywords | ||
| fact checking; artificial intelligence; deep fake; news | ||
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