Impact of Deepfake Technology on Social Media: Detection, Misinformation and Societal Implications
Open accessAbstract
Deepfake technology, which allows the manipulation and fabrication of audio, video, and images, has gained significant attention due to its potential to deceive and manipulate. As deepfakes proliferate on social media platforms, understanding their impact becomes crucial. This research investigates the detection, misinformation, and societal implications of deepfake technology on social media. Through a comprehensive literature review, the study examines the development and capabilities of deepfakes, existing detection techniques, and challenges in identifying them. The role of deepfakes in spreading misinformation and disinformation is explored, highlighting their potential consequences on public trust and social cohesion. The societal implications and ethical considerations surrounding deepfakes are examined, along with legal and policy responses. Mitigation strategies, including technological advancements and platform policies, are discussed. By shedding light on these critical aspects, this research aims to contribute to a better understanding of the impact of deepfake technology on social media and to inform future efforts in detection, prevention, and policy development.
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Instant messaging systems such as WhatsApp, Telegram, Viber, and Signal have created new spaces for exchange and sharing where content, including deepfakes, can be shared and reshared virtually without control.
“the success of instant messaging systems such as WhatsApp, Telegram, or (to a lesser extent) Viber and Signal has created new spaces for exchange and sharing, such as channels and groups, where all kinds of content, including deepfakes, can be shared and reshared virtually without control (Al-Khazraji et al., 2023).”
From Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project (2026) · cites this paper as Al-Khazraji et al., 2023
The 'Spread of Misinformation and Disinformation' section says deepfakes can be shared widely and quickly, making their dissemination difficult to contain. It does not identify WhatsApp, Telegram, Viber, Signal, channels, or groups as the spaces responsible; searches for the named services and instant messaging found no matching passage. The cited paper therefore supports the general point about spread, not the claim's messaging-specific explanation. (LLM, conf=0.84)
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Cites
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Wani, T. M., Qadri, S. A. A., Wani, F. A., & Amerini, I. (2024) · Foundations and Trends® in Privacy and Security · doi:10.1561/3300000048 · Cited by 16 · see citing works
Görgen, A., & Saygıner, C. (2025) · Güvenlik Stratejileri Dergisi · doi:10.17752/guvenlikstrtj.1706990 · Cited by 1 · see citing works
Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project
(2026) · University of Maribor Press · doi:10.18690/um.feri.2.2026
- Authors
- AL-KHAZRAJI, S. H., SALEH, H. H., KHALID, A. I., & MISHKHAL, I. A.
- Affiliations
- University of Diyala (IQ)
- Venue
- The Eurasia Proceedings of Science Technology Engineering and Mathematics
- Publisher
- ISRES Publishing
- Published
- 2023-10-16
- Volume
- 23
- Pages
- 429-441
- ISSN
- 2602-3199 (ISSN-L)
- OpenAlex
- W4387672129
- Cited by
- 98
- References
- 10
- Citations by year
- 2026: 33 · 2025: 46 · 2024: 17 · 2023: 2
- FWCI
- 33.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Eurasia Proceedings of Science Technology Engineering and Mathematics (publishedVersion, cc-by-nc-sa)
- DergiPark (Istanbul University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Keywords
- deepfakes, social media, deepfake detection, misinformation, disinformation, public trust, social cohesion, ethical implications, platform policies, content moderation, media manipulation
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