The impact of viral videos and social media discussions on face perception is complex and multifaceted. While these digital platforms have created new opportunities for face-related expression and communication, they also raise concerns about the manipulation, distortion, and commodification of faces. As we continue to navigate the digital age, it is essential to critically evaluate the psychological, social, and cultural implications of face perception in the context of viral videos and social media discussions.
Chakraborti, S., et al. (2020). Deepfakes: A survey on audio-visual editing tools and detection methods. IEEE Access, 8, 103811-103828. The impact of viral videos and social media
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. Chakraborti, S
The proliferation of social media and viral videos has led to a significant shift in the way we perceive and interact with faces. This paper explores the impact of viral videos and social media discussions on face perception, with a focus on the psychological, social, and cultural implications of this phenomenon. Through a critical analysis of existing literature and empirical research, this study reveals the complex and multifaceted nature of face perception in the digital age. IEEE Access, 8, 103811-103828
Face perception is a complex cognitive process that involves the recognition of facial features, expression, and identity. Research has shown that face perception is influenced by various factors, including attention, emotion, and context (Ekman, 1992; Haxby et al., 2000). The advent of social media and viral videos has introduced new variables into this equation, such as the role of editing, filtering, and manipulation of facial images.
Haxby, J. V., et al. (2000). The distributed human neural system for face perception. Trends in Cognitive Sciences, 4(6), 223-233.
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