Abstract
This study shows how well the wireless sensing technology may be used to forecast how people would react to AI- (artificial intelligence-) driven customization in digital news sites. We randomly picked participants to enroll in an online questionnaire. This study determines the ethical issues and coping strategies of AI-based news using sensor technology. The study proposed an improved naïve Bayes classification algorithm to forecast the acceptance of AI-driven news sites. Additionally, the technology acceptance framework characteristics continue to be crucial in determining adoption decisions. The findings demonstrate that the observed contingency has a large direct influence and an indirect effect that is moderated by improved user interaction and positivity in forecasting the acceptance of AI-driven news sites.
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