
Simona Bisiani
Academic and research departments
Surrey Institute for People-Centred Artificial Intelligence (PAI), Faculty of Engineering and Physical Sciences.About
My research project
AI-assisted journalismMy research project aims at deepening our understanding of geographic patterns of news coverage through NLP and text mining. The findings from this research will enable news producers to better understand which audiences they are serving, and which communities are underserved.
Supervisors
My research project aims at deepening our understanding of geographic patterns of news coverage through NLP and text mining. The findings from this research will enable news producers to better understand which audiences they are serving, and which communities are underserved.
Publications
In the last decade, data journalism has established itself as a thriving field. Recently, Covid-19 has boosted the demand for data-driven reporting to make sense of the pandemic, increasing the importance of studying the evolution of this rapidly evolving and technology-bounded practice. However, the number of efforts to map and systematically measure the data journalism industry are few. This paper analyses the findings of The State of the Data Journalism Survey 2021, currently the most extensive study on the characteristics surrounding the workforce producing and contributing to the data journalism industry. The outcome is an understanding of an expanding workforce with a geographically uneven distribution, which is still homogeneous in terms of tools and educational paths. Self-taught, resourceful, and multi-skilled, data journalists often work in isolation but share pressures of limited resources, time limitations, and access to quality data. The pandemic appears to have directly increased those struggles, although data journalists agree that the field’s reputation has ultimately benefited from it.