Extracting Source Information From News Articles
Tabassum Sultana, Eric R. Harley, Gavin Adamson, Asmaa Malik · 2022
One of the factors influencing the credibility of news is source attribution. Ideally, news would be based on a balanced variety of sources. In this work we use spaCy1 and Python2 to identify sources of information cited in news articles and assign the sources to categories, as a first step in building software that assesses the balance and breadth of the sourcing in news articles. The preliminary testing of the software indicates that identification of the sources has a recall of 73% and accuracy of 95%, and the sources are categorized with overall accuracy of 78%.