In many small newsrooms like ours, valuable content produced over the years -interviews, investigations, videos, visualisations, and data - remains uorganised and underused due to lack of time, structure, and resources. This project proposes to develop a prototype digital repository to centralise, classify, and automate the reuse of our accumulated content. We will use AI-based tools and accessible workflows to organise and tag existing materials, making them easier to find and reuse. We will also automate the extraction of key quotes, summaries of text and interviews, and generate social media-optimised content.
Expected results of the project
- Create a functional digital repository to centralise accumulated journalistic content.
- Classify and tag existing content (videos, interviews, articles, visualisations, maps) using a database with thematic filters.
- Automate tasks such as extracting key quotes, summaries, and main topics.
- Generate vertical format video clips from horizontally edited video published in investigations.
