Dança circular e envelhecimento ativo no discurso do ChatGPT

Abstract

This research aimed to understand and analyze the information regarding dance and active aging provided by ChatGPT. It is a qualitative study characterized as a netnography, employing the Multimodal Content Analysis technique. The results revealed that, through ChatGPT, it is possible to obtain qualified information on the subject, although some important knowledge was either not addressed or covered superficially. Relevant findings include: the characterization of circle dance as a collective and multicultural practice linked to active aging; the identification of physical, psychological, and social benefits for the elderly population notably improvements in balance and coordination, reduction of anxiety and stress, strengthening of selfesteem, and expansion of social bonds; and the identification of strategies that encourage adherence, as well as barriers that hinder the participation of older adults. However, the absence of some relevant information highlights the need for caution when using this resource, emphasizing the importance of verifying each response against scientific literature. It is concluded that netnographic research demands a better understanding of how the utilized artificial intelligence functions and, consequently, a systematization that ensures research unbiasedness. It is also concluded that the information obtained requires verification and further study through scientific literature.