Hyperconnectivity and digital behavior: anticipating trends with prophet
Keywords:
hyperconnectivity; google trends; time series; prophet; digital behaviorAbstract
The present study aimed to investigate the phenomenon of digital hyperconnectivity in Brazil by analyzing trends in public interest related to symptoms, behaviors, and technological prevention strategies between 2020 and 2025. Weekly time series from Google Trends were used, collected through the Pytrends library, organized into three distinct thematic groups, and normalized to enable detailed comparative analysis. The series were modeled using the Prophet algorithm to project future trends through 2027. The results indicate consistent growth in symptoms and behaviors associated with hyperconnectivity, such as digital fatigue, anxiety, stress, and excessive use of technology, while interest in preventive practices remained limited. This disparity reveals significant gaps in awareness and in the adoption of effective digital self-regulation strategies, reinforcing the need for public policies and educational interventions focused on digital well-being. The projections suggest the maintenance or gradual increase of these patterns, highlighting the importance of preventive actions directed toward more vulnerable populations, such as adolescents and remote workers.
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