Digital technologies have initiated new multi-media and data-driven forms of journalism, but their best-practice integration into the structures and cultures of newsrooms is poorly understood, as is their relation to the technical capabilities of newsrooms’ digital and data infrastructure. JOLT will advance technical developments for new content forms and derive new insights into the conditions under which digital and data genres emerge and are practiced; the role and influence of the people who participate in their production; and the varieties and kinds of adaptation necessary to accommodate storytelling innovations.
Seven researchers have started worked on JOLT projects relating to New News Practices:
- Samuel Danzon-Chambaud is based at the Institute for Future Media and Journalism at Dublin City University to critically investigate the rise of algorithmic journalism. He is supervised by Dr Alessio Cornia.
- Enric Moreu is based at the Insight Centre for Data Analytics at Dublin City University to investigate how Deep Learning techniques can be developed for journalism. He is supervised by Professor Noel O’Connor.
- Mathew Tomonto is based the Media Infomatics Lab at Aristotle University of Thessaloniki to research new techniques for data journalism. He is supervised by Professor Andreas Veglis.
- Jiahong Huang is based at the University of Amsterdam to investigate methods for extracting and visualizing topics in data journalism. He is supervised by Professor Marcel Worring.
- Luka Murn is based at BBC R&D to advance coding scheme innovations in adaptive content delivery. He is supervised by Dr Marta Mrak (BBC) and Professor Alan Smeaton (DCU).
- Marc Górriz Blanch is based at BBC R&D to investigate the production of new content forms. He is supervised by Dr Marta Mrak (BBC) and Professor Noel O’Connor (DCU).
- Jacky Lam is based at the European Journalism Centre to investigate methods for mining online multimedia data. Jacky is supervised by Mr Adam Thomas (EJC) and Professor Marcel Worring (UvA).