Yapay Zeka Destekli Medya Manipülasyonu: Kamuoyu Farkındalığı, Güven ve Deepfake Teknolojilerini Ele Almada Algılama Çerçevelerinin Rolü

This study examines the impact of AI deception technologies; voice cloning, deepfake videos, and face swapping on trust in digital media among affluent European senior citizens (40+). It assesses their awareness, experiences with identity theft, and trust erosion in digital content. A mixed-method approach combined quantitative surveys with AI tool demonstrations. Fifty-one participants from various European countries completed three questionnaires via Facebook, Gmail, and Instagram, measuring awareness, trust, and AI-driven deception experiences. Findings showed high exposure to deepfakes (76.5%), frequent voice cloning scams (66.7%), and significant distrust in digital media (86.3%). Statistical analysis (χ² = 25.548, p < 0.001) confirmed strong links between AI awareness, trust, and identity theft. Reliability analysis (Cronbach’s alpha = 0.783) indicated good internal consistency. BioID detection software analysis yielded definitive results: two analyzed deepfake videos scored 0.00053 and 0.06223, confirming their synthetic nature, while genuine selfies achieved a 0.92363 liveness score, validating their authenticity. Limitations include a small sample and geographic constraints. The study underscores the need for digital literacy programs, AI detection tools like BioID, and stronger regulations to mitigate AI-driven manipulation risks.