The backend of news as a juxtaposition of data and human costs
Indexing and semantic code in news draw on a base of well-defined vocabulary from classification systems used by news editors for search tags, but journalism also uses leaked data, mobile metadata logs, and datasets for visualisations. The tagging systems in news, like NewsCode, are embedded in CMS and help to bind data for cross-referencing purposes. The defined concepts have an ontological base that relate to “news” and they are structured in hierarchical and logical ways. For many years social media tags were unstructured, but folksonomy approaches do not exclude semantic methods, and vice versa. Media cloud tools can also be used by journalists to generate lightly interactive graphic visualisations or to integrate data onto maps. However, data and metadata should also be used to develop new semantic systems to better protect journalists in conflict zones and to embed the values and ethics of journalism into algorithms for journalism training systems.