Projekt

This project aims at developing a fully automated platform that will feature interactive visualizations and autonomously computer-generated bilingual (German and English) news coverage of the 2016 US presidential election forecasts. The project will address important questions such as how data journalists should describe their methodology, publish data, visualize results, tell stories, and communicate uncertainty. Automated news, which is also known as robot journalism, represents a new form of data-driven journalism that is expected to have major disruptive power, but is not yet well understood. In particular, little is known on whether the development of computer-generated news is feasible for such a "hard news" topic and how recipients perceive the quality of such content. The platform developed in this project - comprised of a researcher form the LMU Munich, a programmer from AX Semantics and a journalist from "Deutsche Welle" - will thus serve as a "field laboratory" for conducting experiments to study recipients' perception of data-driven journalistic content.

• Dr. Andreas Graefe

  Universität München
  Sozialwissenschaftliche Fakultät
  Institut für Kommunikationswissenschaft und
  Medienforschung
  München