AFPData (Round 3)
AFPData is a new data-driven editorial ecosystem. The project has 3 components: (1) Creating original datasets with high editorial added value; (2) Making these structured, indexed, editorially useful datasets – generated by AFP, by partner sources or by AFP-selected open-data sources – available to newsrooms on a platform via direct download or via API; (3) Using these datasets to automatically or semi-automatically produce live news content.
The reach of data journalism within media organisations is still limited. Newsrooms lack the time and resources needed to search for relevant data. At the same time, fact-checking, contextualisation, multiplication of sources and transparency are key factors in media organisations’ credibility in the era of post-truth and information overload. AFPData aims to stimulate data journalism within AFP and its clients’ newsrooms by making original, reliable, selected and indexed datasets easily accessible. Our project also includes automated and semi-automated use of enriched data to produce and monetize new types of content.