Immersive Automation is probably one of the biggest research and development projects in the field in the world right now. The project aims at automating news production, and is looking for new ways of making it more automatic. It also looks at the ecosystem of news production.
Every day we have tiny robots do more and more things for us. But again, we decide what they do, and we decide how we use them.
See our short presentation video with some thoughts presented by our team:
In May, the Immersive Automation project met up with Magnus Aabech from the Norwegian news agency NTB. Aabech is involved in NTB’s election bot project and talked to us about the experiences he has had so far with news automation. After the parliamentary elections in Norway, Aabech also shared some of NTB’s experiences with automated …
Continue reading “How NTB utilised news automation in its election reporting”
The spread of fake news and hateful content is one of the most debated topics right now. As machine learning techniques become more and more sophisticated, numerous fields have begun to utilise these techniques. In her PhD, text and data analyst Myriam Munezero has studied machine learning models that can detect antisocial behaviours. In this …
Continue reading “Machine learning can detect hate speech and violence”
The other day we received some excellent questions from Peter Carson at Edinburgh Napier University. Carson is currently collecting empirical material for his dissertation, which focuses on the impact of artificial intelligence on journalism. We decided to publish our thoughts in this blog. Could automated journalism lead to the deskilling of journalists and the loss …
The Immersive Automation-project is a research consortium where data scientists, linguists, and journalists work together with researchers and media companies to bring forward a solution for producing engaging, data driven content. Our aim is to create a roadmap and a demonstration of a future news ecosystem based on automated storytelling, intense audience engagement, and user experience. The duration of the project is until end of May 2018.
Identification and categorisation of data sources. Special focus on identification of relevant structured data for editorial use.
Development of methods for automated text generation, as well as provision of models for the structure of news stories.
Focus group tests for automatically generated content.
Development of an ecosystem where technical, organizational, as well as commercial levels are both conceptualised and demonstrated.
Training selected journalists in computational thinking, algorithmic news production, and editorial tools based on automation.
The Researchers are presented on the The Research Team-page.
Immersive Automation is funded by The Finnish Funding Agency of Innovation Tekes, The Media Industry Research Foundation of Finland, The Swedish Cultural Foundation in Finland, the media companies involved as well as the research organisations participating in the project.
