About My Facebook Sharing Dataset and Methodology

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I’ve been capturing links posted to social media sites from extremely popular news outlets since February 2010 (the sites are listed at the end of this page). I’ve included all of the articles published in the last 3 months as well as most of the stories before that time that were posted to social media. Some of the top blogs, both mainstream and geeky, as well as a handful of the most web-enabled newspapers of record.

First, I find the average (for averages I’m using the inter-quartile mean) number of times a articles from each individual site are shared on Facebook and then I compare the individual stories to their domain’s average. This allows me to then combine the percentage difference (either more or less shares) to produce an “effect” number that represents the difference in amount of shares.

At this point I’ve got well over a 12,000 links and counting with full information stored. I’m also getting better at retrieving the data I want faster and more reliably.

  • Huffington Post
  • TechCrunch
  • Gizmodo
  • Mashable
  • The New York Times
  • CNN
  • The LA Times
  • The USA Today
  • The Wall Street Journal
  • The Washington Post
  • boingboing
  • TMZ
  • Kotaku
  • Life Hacker
  • The Onion
  • ESPN
  • People