Understanding News Story Chains using Information Retrieval and Network Clustering Techniques
@article{Nicholls2018UnderstandingNS, title={Understanding News Story Chains using Information Retrieval and Network Clustering Techniques}, author={T. Nicholls and Jonathan Bright}, journal={Communication Methods and Measures}, year={2018}, volume={13}, pages={43 - 59} }
Content analysis of news stories (whether manual or automatic) is a cornerstone of the communication studies field. [...] Key Method This method makes use of techniques drawn from the field of information retrieval to identify textual closeness of pairs of articles, and then clustering techniques taken from the field of network analysis to group these articles into stories. We demonstrate the application of the method to a corpus of 61,864 articles, and show how it can efficiently identify valid story clusters…Expand Abstract
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