Deep learning, big data and other new technologies are set to transform the way governments determine what is in the best interest of their citizens, supercharging the information they need to act intelligently and making policies and actions more transparent, preventing corruption and failure.
Deep journalism is a data-driven approach for discovering different perspectives on a topic of interest. The approach was the basis for DeepJournal, a new tool that uses machine and deep-learning-based natural language processing technologies to analyse assigned documents, grouping the data into clusters. The tool then identifies relationships between clusters, including similarities, differences, and hierarchies. By highlighting gaps between public-facing issues and those of other stakeholders, the technology can be used to develop policies and actions for a given sector, and even for a complete economy or society.
Researchers at King Abdulaziz University, Jeddah tested the DeepJournal tool in a study examining different academic, industrial, public, governance, and political perspectives on transportation.
