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About a month ago, I quietly released a daily news digest service, called Me Meme. This is an email companion to the still-private website that allows you to analyze and run social media models at the click of a button. I previously wrote about some of my models, and how they can infer someone’s interests simply by analyzing who they follow. To recap, the basic idea is that you follow people on social media because you care about what they have to say. This simple observation implies that who you follow is a robust proxy for your interests. Factoring in the effects of homophily means that your interests will roughly correspond to different circles of friends, and the more diverse your interests, the more distinct circles of friends you’ll have. The Me Meme daily digest exploits this property to curate social media news and stories according to your interests. You can read a more complete description on Arxiv. In other words, the number of stories you get on a certain topic/interest will be proportional to the number of people in that circle.
Let’s use my own Twitter account to demonstrate how this works. The following screen grab is from the Me Meme webapp mentioned earlier and is a summary of my computed interests. The proprietary models run in R and blend natural language processing with graph theory to infer each user’s interests.
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