The role of social media in shaping Women's paranoia about Harassment and Safety

Abstract

This research paper investigates the relationship between age and paranoia levels among women in India in the context of harassment and cybercrime. Utilizing a quantitative research design, data were collected from 300 female participants aged 15 to 55 years, residing in urban regions such as Delhi, Odisha, Mumbai, Bangalore, and Kolkata. Participants were recruited via random sampling from social media platforms, university networks, and professional contacts. A structured Likert-scale survey assessed paranoia in domains like cyberstalking, harassment, and online safety. Data analysis was performed using Microsoft Excel with linear regression to explore the predictive value of age on paranoia. The analysis revealed a statistically significant yet modest positive correlation between age and paranoia levels, indicating that paranoia tends to increase slightly with age. Despite its statistical significance, the relationship demonstrated limited explanatory power, suggesting that additional factors contribute to paranoia beyond age alone. Notably, older participants reported higher levels of anxiety related to digital safety, while younger participants expressed concern about online harassment and trolling. The findings highlight the importance of age-sensitive digital safety interventions and underscore the broader need for psychological support systems that address women's online safety concerns across all age groups. Future research should incorporate a multivariate approach to examine other influential factors such