In this study we analyze a corpus of 35.9 million articles from local British newspapers published between 1800 and 1950, investigating the changing role played by key actors in public life. This involves the role of institutions (such as the Church or Parliament) and individual actors (such as the Monarch). The analysis is performed by transforming the corpus into a narrative network, whose nodes are actors, whose links are actions, and whose communities represent tightly interacting parts of society. We observe how the relative importance of these communities evolves over time, as well as the centrality of various actors. All this provides an automated way to analyze how different actors and institutions shaped public discourse over a time span of 150 years. We discover the role of the Church, Monarchy, Local Government, and the peculiarities of the separation of powers in the United Kingdom. The combination of AI algorithms with tools from the computational social sciences and data-science, is a promising way to address the many open questions of Digital Humanities.
|Title of host publication||Advances in Intelligent Data Analysis XVI|
|Subtitle of host publication||16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings|
|Publisher||Springer Berlin Heidelberg|
|Number of pages||11|
|Publication status||E-pub ahead of print - 4 Oct 2017|
|Name||Information Systems and Applications, incl. Internet/Web, and HCI|