Identifying, linking and analysing cultural, environmental and economic issues in Estonian Public Broadcasting content.
Project duration: 2025–2026
Funding: Estonian Ministry of Culture
Project lead institution: Tallinn University, Baltic Film, Media and Arts School. Project partners at the Estonian National Museum: Pille Runnel (Research Director), Agnes Aljas (Research Secretary)
The project focuses on developing a new linked metadata layer based on ERR content and a method for analysing the evolution of media representations and their interrelationships. It will create a knowledge graph from ERR's television, radio, and web content, connecting cultural, economic, and environmental themes. In the first phase, metadata from different ERR media formats will be analysed, and thematic text corpora will be created. The second phase involves developing new data ontologies using international and local frameworks. The third phase applies machine learning models, including EstBERT, to construct the knowledge graph.
The final phase uses the graph to analyse evolving discourses. The project introduces a novel approach for studying the
development of Estonian culture, economy, and environmental representations in
ERR content, with potential broader applications. At the Estonian National Museum, the outcomes will
be translated into an exhibition that
demonstrates how linked data and AI can be used to interpret cultural meaning
and understand the evolution of knowledge in society.