Research Article
Misinformation to Mitigation: Strategies for Combating Deepfakes on Social Media
@INPROCEEDINGS{10.4108/eai.11-12-2024.2360426, author={Marco Trisna Omar Farrasy and Moch Fuad Nasvian}, title={Misinformation to Mitigation: Strategies for Combating Deepfakes on Social Media}, proceedings={Proceedings of the 4th International Conference of Humanities and Social Science, ICHSS 2024, 11 December 2024, Surakarta, Central Java, Indonesia}, publisher={EAI}, proceedings_a={ICHSS}, year={2025}, month={12}, keywords={deepfake social media artificial intelligence systematic literature review prisma}, doi={10.4108/eai.11-12-2024.2360426} }- Marco Trisna Omar Farrasy
Moch Fuad Nasvian
Year: 2025
Misinformation to Mitigation: Strategies for Combating Deepfakes on Social Media
ICHSS
EAI
DOI: 10.4108/eai.11-12-2024.2360426
Abstract
Social media has become a primary news source, but deepfakes—synthetic media generated by advanced AI pose significant threats, including political manipulation, non-consensual imagery, misinformation, and financial fraud. These applications erode trust, fuel misinformation, and deepen societal polarization. This study systematically reviewed literature published between 2018 and 2023 using PRISMA guidelines to evaluate these threats and propose the 4C Model of Deepfake Mitigation: Context (understanding socio-digital environments), Content (ensuring media authenticity), Community (promoting literacy and collaboration), and Control (enforcing regulations and platform accountability). Emphasizing interdisciplinary approaches, the research highlights media literacy, user empowerment, and robust platform policies as key solutions. Insights are provided for policymakers, technologists, and educators to address deepfake challenges and protect digital ecosystems.
