Exploratory analysis indicates tech-related anxiety shapes cyber paranoia levels in adults, suggesting new interventions.
Introduction: The Cyber Paranoia and Fear Scale (CPFS) was developed in 2014 by Mason et al to measure the perception of information technology-related threats. Given the rapid evolution of digital systems, including artificial intelligence, surveillance, and data sharing, this study sought to revalidate and update the scale, resulting in the Cyber Paranoia and Fear Scale–Updated (CPFS-U). Method: Public and Patient Involvement and Engagement (PPIE) with university students informed the redevelopment of the scale. Eight new items were added, and several were revised. The CPFS-U was administered to 433 adults, alongside validated measures of paranoia, generalised anxiety, online trust, digital confidence, and activity. Results: Exploratory factor analysis revealed a four-factor structure: (1) AI and Digital Dependence Concerns, (2) Technological Risk Awareness and Distrust, (3) Perceived Data Vulnerability, and (4) Surveillance and Monitoring Paranoia. Correlational analyses showed that overall cyber-paranoia and fear were positively associated with generalised anxiety and trait paranoia. Digital confidence and activity showed limited associations with the updated scale, indicating that emotional and cognitive responses to digital systems may be more influential than digital literacy itself. Discussion: The findings suggest that cyber paranoia is a multidimensional construct distinct from general paranoia, shaped by contemporary technological developments. The CPFS-U provides an updated measure for assessing digital mistrust and fear in modern contexts and may inform future research on technology-related anxiety and clinical interventions.
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