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International audienceIn this paper, we analyse the contents of the web site of two Italian news agencies and of fourof the most popular Italian newspapers, in order to answer questions such as what are the mostrelevant news, what is the average life of news, and how much different are different sites. To thisaim, we have developed a web-based application which hourly collects the articles in the maincolumn of the six web sites, implements an incremental clustering algorithm for grouping thearticles into news, and finally allows the user to see the answer to the above questions. We havealso designed and implemented a two-layer modification of the incremental clustering algorithmand executed some preliminary experimental evaluation of this modification: it turns out thatthe two-layer clustering is extremely efficient in terms of time performances, and it has quitegood performances in terms of precision and recall

Analyzing and Comparing On-Line News Sources via (Two-Layer) Incremental Clustering