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Re:Show HN: 22 top US newspapers in an RSS OPML list by writeslowly on Monday June 11, 2018 @11:27AM (#17285069)
I've experimented with using clustering algorithms to rank stories from about a dozen different RSS feeds to get results based on media coverage. I have some basic output set up here, it could use a lot of improvements but it seems like a decent way to sort national/international news without needing social media data: https://confabulator.io/newsclustering/
Re:Show HN: 22 top US newspapers in an RSS OPML list by jpfed on Monday June 11, 2018 @01:27PM (#17286436)
I've wanted to do this as well. How does your site rank stories within a cluster? I had always imagined that if I were to do this, I would order them by centrality, where the distance metric is Euclidean distance between the word histograms.
Re:Show HN: 22 top US newspapers in an RSS OPML list by writeslowly on Monday June 11, 2018 @03:14PM (#17287511)
I'm doing graph clustering, where stories are connected by shared terms, so I'm ranking based on the weight of the edges to a story inside the cluster. The terms are weighted by frequency over all the stories in the system with the intention of prioritizing articles contain a lot of specific terms that look like they're related to the story.