A Data-Driven Approach to Estimating the Impact of Audiovisual Art Events Through Web Presence

In the modern era, a major avenue of dissemination for cultural and artistic events is through the World-Wide Web, where every such event has a multifaceted distinct digital footprint. This digital footprint is an indicator of how strong the influence of each event is in the public's perception and to what extent it becomes part of the audiovisual art landscape. This study aims to present how the impact of an audiovisual event may be estimated using quantitative data collected through its online presence. This data-driven approach is made possible through web data extraction techniques and the use of generative artificial intelligence, which allows for structured information extraction from an endless variety of websites. Based on an event's innate characteristics, web outreach, estimated scope, and thematical popularity, an encompassing impact factor is calculated, which may be used to rank events on the basis of perceived influence. For the purposes of this study, a dataset consisting of thousands of events in Greece was collected over an extended period. These data were used for a computational statistical analysis. Through this process of data collection, impact calculation, and analysis, data-driven insights were derived concerning the landscape of audiovisual art events.