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I've been playing w/ @media_cloud and still have not figured it all out yet but I did a search for "caucus" stories from Feb 1 to Feb 5. The seed query matched 2,446 stories and spidered to collect a total ~4500. It's public if you want to play with it: topics.mediacloud.org/#/topics/3773/…
Under "influence" at the bottom you can generate a link map and download a gexf file that can be imported to gephi. So here are news stories that mentioned "caucus" in the past 5 days. Labels are scaled according to number of inlinks. I *think the Twitter node = tweet embeds.
Here's the same dataset with labels scaled by number of facebook shares. There are 615 "media sources" and I'm still trying to figure out why YouTube is so big. Maybe because the caucus was live-streamed on YouTube?
Under "influence" then "top stories" and then click on "facebook shares" says this 2016 Bernie video had 270K Facebook shares? Crowdtangle doesn't show any recent Facebook shares for the video but some people tweeted the 4 year old video this week. 🤷🏻‍♀️
So I'm still figuring out how to interpret Media Cloud stats but it's neat and you can explore the data yourself, I made it public: topics.mediacloud.org/#/topics/3773/…
oh i think you need a media cloud account to view that but it's free
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