Audience Studies and Trend Tracking with AI

Abstract

This study focuses on the use of AI in audience studies and synchronic tracking of audience rapid changing trends, mainly that the audience is the focal point of all communicative activities and economic actions in the digital world. In so doing, we analyzed the findings of different studies and reports of international organizations, and found out how AI is used in audience studies. In this regard, information on the digital behavior, demographic statistics, interactions, and social aspects are, first, collected and, then, analyzed. The analysis focuses on emotions, natural langue, images, and videos. Finally, the forecasts are modeled and reality is simulated to predict the sociopolitical patterns, trends, and the market orientations, and to set polls models, divide the audience, and personalize the content. In the end, findings show that AI allows for faster and exact results within fractions of seconds, and for an easy tracking and coping with all the changes.