MAPPING URBAN HERITAGE IMAGES WITH SOCIAL MEDIA DATA AND ARTIFICIAL INTELLIGENCE, A CASE STUDY IN TESTACCIO, ROME

11 citations as recorded by crossref.

1. From Urban heritage resources: social media analytics of Johor Bahru tourists’ experience and motivation for exploring heritage buildings M. Rosley et al. https://doi.org/10.1080/10941665.2024.2379285
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3. Historic Urban Landscape Literature (2010–2024): A Scoping Review and Bibliometric Mapping of Conceptual Evolution and Research Trends M. Karagkouni et al. https://doi.org/10.3390/heritage9070254
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6. The integration of artificial intelligence and ethnic music cultural inheritance under deep learning W. Chang https://doi.org/10.2298/CSIS241119036C
7. Understanding tourist engagement with traditional dwellings through multimodal deep learning: a case study of the Gao Family Compound, Xi’an L. Wu et al. https://doi.org/10.1057/s41599-026-07879-5
8. Mapping Heritage Engagement in Historic Centres Through Social Media Insights and Accessibility Analysis L. Serrano-Estrada et al. https://doi.org/10.3390/land13121972
9. Understanding the landscape of a modern Chinese city and summer resort from a missionary’s perspective: text mining ‘Beard Family Papers’ via large language models Y. Lin et al. https://doi.org/10.1080/01426397.2025.2484193
10. Cultural Symbol Preferences of Visitors to Historical and Cultural Heritage Buildings: A Case Study of the Yellow Crane Tower Based on Social Media Data and Deep Learning L. Li et al. https://doi.org/10.3390/buildings16081636
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