Valtteri the Election Bot has been released
Blog post: Meet our first prototype – Valtteri the election bot
Read news on the Finnish muncipal elections written by Valtteri on vaalibotti.fi.
News
Machine learning can detect hate speech and violence
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 …
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Nine questions about news automation
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 …
Meet our first prototype – Valtteri the election bot
After several months of intensive work, the Immersive Automation team is now ready to present its first prototype, Valtteri the election bot. Just in time for the municipal elections in Finland, Valtteri writes short pieces of news based on the election results. In this blogpost, you can learn more about how and why Valtteri was …
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Immersive Automation – Project themes
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.
Data specification
Identification and categorisation of data sources. Special focus on identification of relevant structured data for editorial use.
Automation of news production
Development of methods for automated text generation, as well as provision of models for the structure of news stories.
User engagement
Focus group tests for automatically generated content.
News ecosystem
Development of an ecosystem where technical, organizational, as well as commercial levels are both conceptualised and demonstrated.
Development of skills
Training selected journalists in computational thinking, algorithmic news production, and editorial tools based on automation.
Researchers
The Researchers are presented on the The Research Team-page.
Partners
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.
