AI Filters and the Erosion of Authenticity in Indian Gen Z

Description

DOI: https://doi.org/10.5281/zenodo.21294319

Vipasha Asli, Kiyarra Khaturia, Mishti Manglani, Dia Narsinghani, Kiah Sakaria, Saniya Yadav, Ruchi Dubey Chaturvedi, and Freyana Shinde (Department of Psychology, Jai Hind College (Empowered Autonomous), Mumbai, Maharashtra)

Artificial intelligence (AI) filters on social media are increasingly shaping self-presentation and authenticity among Generation Z (Gen Z). The present study examined the relationship between AI filter use and psychological variables such as social connectedness, appearance-based anxiety, and self-efficacy among Indian Gen Z individuals. A sample of 150 participants (90 females & 60 males), aged 1829 years, was selected using purposive sampling. Participants were categorized into high and low AI filter users using the median split method. Descriptive statistics and t-tests were used for analysis. Findings revealed significant gender differences among high AI filter users, with females reporting lower social connectedness and self-efficacy, along with higher, appearance-based anxiety than males. High AI filter users across genders also reported lower social connectedness compared to low AI filter users. However, within-gender differences in appearance-based anxiety and self-efficacy were not significant. The findings suggest that excessive AI filter use may negatively influence authentic social interaction and psychological well-being, particularly among females. The study highlights the importance of psychoeducation and digital literacy programs that promote self-acceptance and healthier online engagement among Indian Gen Z users.