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Volume 14
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Correction to Electronics 2024, 13(22), 4352.
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Correction

Correction: Sandu et al. Machine Learning and Deep Learning Applications in Disinformation Detection: A Bibliometric Assessment. Electronics 2024, 13, 4352

by
Andra Sandu
1,
Liviu-Adrian Cotfas
1,
Camelia Delcea
1,*,
Corina Ioanăș
2,
Margareta-Stela Florescu
3 and
Mihai Orzan
4
1
Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania
2
Department of Accounting and Audit, Bucharest University of Economic Studies, 010552 Bucharest, Romania
3
Department of Administration and Public Management, Bucharest University of Economic Studies, 010552 Bucharest, Romania
4
Department of Marketing, Bucharest University of Economic Studies, 010552 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(15), 3017; https://doi.org/10.3390/electronics14153017
Submission received: 25 July 2025 / Accepted: 25 July 2025 / Published: 29 July 2025
Versions Notes
In the original publication [1], the citation referring to reference [50] in the manuscript has been retracted. Concerns were raised on this matter and the following reference was removed from the reference list:
50. Ahmed, S.R.; Sonuç, E. Evaluating the effectiveness of rationale-augmented convolutional neural networks for deepfake detection. Soft Comput. 2023. https://doi.org/10.1007/s00500-023-09245-y.
Due to the removal of reference [50], subsequent references and the corresponding citations in the main text have been adjusted to align with numerical order. Reference [50] was also removed from the following sentence:
As a result of their high applicability and the advantages they offer, these techniques have become great tools in combating the spread of fake information [48]. They have demonstrated increased effectiveness in the automatic detection of false content and the identification of manipulation [49].
The authors clarify that the scientific conclusions remain unchanged despite the removal of reference [50] from the manuscript. These corrections have been approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Sandu, A.; Cotfas, L.-A.; Delcea, C.; Ioanăș, C.; Florescu, M.-S.; Orzan, M. Machine Learning and Deep Learning Applications in Disinformation Detection: A Bibliometric Assessment. Electronics 2024, 13, 4352. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Sandu, A.; Cotfas, L.-A.; Delcea, C.; Ioanăș, C.; Florescu, M.-S.; Orzan, M. Correction: Sandu et al. Machine Learning and Deep Learning Applications in Disinformation Detection: A Bibliometric Assessment. Electronics 2024, 13, 4352. Electronics 2025, 14, 3017. https://doi.org/10.3390/electronics14153017

AMA Style

Sandu A, Cotfas L-A, Delcea C, Ioanăș C, Florescu M-S, Orzan M. Correction: Sandu et al. Machine Learning and Deep Learning Applications in Disinformation Detection: A Bibliometric Assessment. Electronics 2024, 13, 4352. Electronics. 2025; 14(15):3017. https://doi.org/10.3390/electronics14153017

Chicago/Turabian Style

Sandu, Andra, Liviu-Adrian Cotfas, Camelia Delcea, Corina Ioanăș, Margareta-Stela Florescu, and Mihai Orzan. 2025. "Correction: Sandu et al. Machine Learning and Deep Learning Applications in Disinformation Detection: A Bibliometric Assessment. Electronics 2024, 13, 4352" Electronics 14, no. 15: 3017. https://doi.org/10.3390/electronics14153017

APA Style

Sandu, A., Cotfas, L.-A., Delcea, C., Ioanăș, C., Florescu, M.-S., & Orzan, M. (2025). Correction: Sandu et al. Machine Learning and Deep Learning Applications in Disinformation Detection: A Bibliometric Assessment. Electronics 2024, 13, 4352. Electronics, 14(15), 3017. https://doi.org/10.3390/electronics14153017

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