Sensing the Cultural Significance with AI for Social Inclusion

An AI-driven methodological framework successfully maps the cultural significance perceived by online communities, offering valuable insights for socially inclusive heritage management. This approach leverages artificial intelligence to analyze massive, unstructured multi-modal user-generated data from social media, distinguishing between baseline and activated scenarios triggered by radical events. The study, tested across multiple cities including Rome, integrates interdisciplinary methods from heritage studies, computer science, and spatial analysis, demonstrating AI's potential to enhance the involvement of diverse participants in heritage-related discussions. This framework aligns with UNESCO's Historic Urban Landscape (HUL) recommendations, providing a systematic way to collect and analyze community knowledge for future heritage management processes.

Bai, N. (2023). Sensing the Cultural Significance with AI for Social Inclusion. Architecture and the Built Environment. https://doi.org/10.59490/abe.2023.17.7167