I’m currently researching people’s reactions to AI-generated video versus real video content to understand how viewers perceive authenticity in the age of artificial intelligence. With the rise of deepfakes, AI avatars and synthetic media, it’s becoming increasingly difficult for the average viewer to distinguish between what’s real and what’s created by machines. I’m conducting this study by posting a series of AI vs real video experiments on social media, particularly on TikTok and YouTube and analyzing viewer comments, likes, shares, and watch time. My goal is to uncover how AI video content influences trust, emotional engagement and user interaction compared to authentic footage.
Through this research, I’m also exploring key concepts such as AI realism machine learning in media, audience perception digital storytelling and AI content ethics. I’m using popular platforms because they offer real-time feedback and diverse demographics. People’s reactions help me identify patterns in skepticism, belief and emotional responses triggered by AI-enhanced visuals. This includes everything from AI face-swaps voice synthesis and AI actors to realistic CGI-enhanced footage.
This research helps shine light on how artificial intelligence is reshaping the future of content creation and viewer psychology. As AI technology evolves, understanding how people react to it becomes more important for content creators, educators, and digital ethicists.
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