Rebeka Toth

• Bányász, Péter; Magyar, Sándor; Orbók, Ákos; Toth, Rebeka; Bányászváczi, Kincső Boróka & Veszelszki, Ágnes [Show all 7 contributors for this article] (2025). The Capability to Identify AI-Generated Images. ESSACHESS – Journal for Communication Studies. ISSN 2066-5083. 18(2), p. 165–191. doi: 10.21409/wzjv-p693. Full text in Research Archive Show summary

  Social media profoundly influences modern society, offering both opportunities and risks for communication. This paper examines the ability to identify AI-generated images through an online survey, investigating factors that affect participants' discernment between authentic photographs and AI-generated images. The findings highlight perceptual biases linked to generative AI technology, impacting perceptions of authenticity. The findings emphasize the importance of promoting media literacy and visual critical thinking, particularly regarding generative AI, as a key strategy in combating disinformation.

• Norbert, Tihanyi; Bisztray, Tamas György; Dubniczky, Richard; Toth, Rebeka; Borso, Bertalan & Cherif, Bilel [Show all 14 contributors for this article] (2024). Dynamic intelligence assessment: Benchmarking llms on the road to agi with a focus on model confidence. In Ding, Wei (Eds.), 2024 IEEE International Conference on Big Data, Dec 15 - Dec 18, 2024 • Washington DC, USA - Proceedings. IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798350362480. doi: 10.1109/BigData62323.2024.10825051. Full text in Research Archive

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