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ZENODO
Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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AI-Based Analysis of Deepfakes

Authors: Nitin Choudhary, Nishant, Piyush Bhardwaj, Anshul Mishra, Rajat Takkar, Shikha Tuteja;

AI-Based Analysis of Deepfakes

Abstract

Deepfakes have come a long way in less than 3 years. Deepfakes are no longer confined to laboratory experiments and are now evolving into a systemic threat. As of early 2026, the use of AI-generated content has increased by over 900% every year, and seeing is believing has now become a statement that is outdated. This paper discusses how deepfakes are one of the key causes of the crumbling trust in online information systems and digital media. It further explains their role in misleading the public, manipulating politics and causing social deception. The paper then evaluates the current detection mechanisms for deepfakes and discusses some approaches for a better and reliable trust in digital media.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green