Simona Bisiani is a doctoral researcher affiliated with the Surrey Institute for People-Centred AI at the University of Surrey. Her work focuses on measuring spatial variations in news coverage in the UK to understand the robustness of local media coverage across the country, and how ownership consolidation affects media diversity and relevance - and whether media diversity and relevance affect democratic engagement. Her primary research methods are text mining (including ML), and causal inference. This Dataverse contains datasets and supplementary materials from Simona’s research, fostering open collaboration and furthering the impact of her work within the academic and professional local media research communities.
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1 to 6 of 6 Results
Dec 19, 2024 - UKTwitNewsCor
Tabular Data - 647.5 KB - 20 Variables, 200 Observations - UNF:6:w5mWC56lt4JV2TnQrPwgUg==
Sample of the article data.
Dec 19, 2024 - UKTwitNewsCor
ZIP Archive - 2.1 GB - MD5: 0c56baa6b96c7506cbd08306bd9f92a2
Compressed CSV file of the full dataset.
Dec 19, 2024 - UKTwitNewsCor
Tabular Data - 78.8 KB - 13 Variables, 362 Observations - UNF:6:bwdzTxEAqtFYOWW04c2Eew==
CSV file of UK Local Authority Districts and online local media present within each of these at the time of data collection, including details of brands and coverage statistics within UKTwitNewsCor.
Dec 19, 2024 - UKTwitNewsCor
Tabular Data - 179.8 KB - 23 Variables, 770 Observations - UNF:6:siWmdidhtkO8MmYlZ9zITg==
CSV file directory of online local media in the UK at the time of data collection, with marked indication of their presence within UKTwitNewsCor.
Dec 19, 2024 - UKTwitNewsCor
Tabular Data - 60.2 KB - 15 Variables, 223 Observations - UNF:6:d4U6nIYTBGJ6fMUhqfV7SQ==
CSV file of UK online local media providers and their brands at the time of data collection, including details of brands and coverage statistics within UKTwitNewsCor.
Dec 19, 2024 - UKTwitNewsCor
ZIP Archive - 2.3 GB - MD5: e0aa3533c9dd6e9d8a595bbe682c693b
Compressed SQLite3 Database containing four tables: articles, publishers, districts, and domains.
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