Chakraborti, S., et al. (2020). Deepfakes: A survey on audio-visual editing tools and detection methods. IEEE Access, 8, 103811-103828.
Social media platforms provide a space for users to share, discuss, and scrutinize faces. Online discussions around faces can be both positive and negative, ranging from admiration and appreciation to criticism and ridicule. Research has shown that social media use is associated with increased self-comparison and decreased self-esteem, particularly among young adults (Kaplan & Haenlein, 2010). The constant exposure to curated and manipulated facial images can create unrealistic beauty standards, contributing to body dissatisfaction and negative self-perception. Chakraborti, S
Viral videos often feature faces that are manipulated, edited, or presented in a way that distorts reality. For instance, the use of deepfakes, AI-generated videos that swap faces, has raised concerns about the authenticity of facial images (Chakraborti et al., 2020). Such manipulations can lead to a blurring of the lines between reality and fantasy, influencing our perceptions of faces and identity. IEEE Access, 8, 103811-103828
Haxby, J. V., et al. (2000). The distributed human neural system for face perception. Trends in Cognitive Sciences, 4(6), 223-233. Research has shown that social media use is