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Department of Information Science and Media Studies

Marc Gallofré Ocaña

Marc’s research aims to assist news organisations in the digital transition to integrated AI- and big data-assisted news production.

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For news organizations to survive, they must embrace big data and artificial intelligence (AI) technologies. They may use these technologies as independent applications for analysing and extracting newsworthy information from social media and textual data from world news in real-time. But they will struggle on the digitalization path to get everything to work together.

Marc’s research aims to assist news organisations in the digital transition to integrated AI- and big data-assisted news production. To better integrate these technologies into a complex system, his research includes the design of a software reference architecture for such systems and the study of the technical challenges and opportunities behind them. As part of his PhD and work on the News Angler project, he is currently developing a big data platform for detecting events and news angles using machine learning, natural language processing and knowledge graphs.