I am a Swedish computational journalism Doctoral Researcher at the Surrey Institute for People-Centred AI (UK). My research combines advanced text mining, machine learning, and causal inference to map spatial variations in news coverage and measure the impact of ownership patterns on media diversity. I have previously researched Swedish media. Outside of academia, I work as the primary researcher for the Public Interest News Foundation local news map project.
Simona Bisiani, M.Sc.
Institute for People-Centred AI · University of Surrey, United Kingdom — PhD Student
-
E-mail
s.bisiani@surrey.ac.uk -
Website
https://simonabisiani.github.io/ -
ORCID
https://orcid.org/0000-0002-6359-6994
Research Areas
- Journalism
- Media Economics
- Social Media
Ongoing Projects
Highlighted publications
Bisiani, S. (2021). Blank spots, critical information needs and local journalism funding. Measuring the impact of state financial support for local journalism on the critical information needs of citizens in Swedish journalistically fragile municipalities [Linkoping University].
Bisiani, S., Gulyas, A., & Heravi, B. (2025). Towards Efficient and Accessible Geoparsing of UK Local Media: A Benchmark Dataset and LLM-based Approach. Computational Humanities Research, 1, 1–20.
Bisiani, S., & Mitchell, J. (2024). UK Local News Report April 2024. Public Interest News Foundation.
About
-
E-mail
s.bisiani@surrey.ac.uk -
Website
https://simonabisiani.github.io/ -
ORCID
https://orcid.org/0000-0002-6359-6994
