This study investigates the sentiment polarity (positive, negative, neutral) and specific emotions (joy, sadness, anger, surprise, trust, anticipation, disgust, and fear) expressed by Generation Z in digital platform comments regarding seven female duets with famous male singer. A dataset of 500 digital comments (250 from YouTube, 125 from Twitter, 125 from Instagram) was collected. The sample was then refined to include comments from 100 individuals (50 men, 50 women) affiliated with a private university in Mexico City, ensuring gender balance. Sentiment polarity was classified using a Bidirectional Encoder Representations from Transformers (BERT) model, with its hyperparameters (learning r... More >

This innovative study analyzes the emotional reaction of 27 individuals from Generation X to flirtatious behaviors exhibited by conversational artificial intelligence. Using a quantitative methodology based on Sentiment Analysis, testimonies and experiences with three models—ChatGPT, Grok, and Gemini—were collected, focusing on phrases or linguistic gestures that could be considered seductive, empathetic, or emotionally warm. The results show that, although there is a clear awareness that no person is behind the AI, several responses generated feelings of companionship, affective validation, and even mild attachment, especially in moments of emotional vulnerability—very difficult to ex... More >