Computer scientists created a new algorithm to recommend tags for social media posts which should boost the popularity of the post in question. The algorithm takes into account more kinds of information than previous algorithms with a similar goal. The result is a measurably improved view count for posts which use the tags recommended by this new algorithm.
Researchers used 60,000 images with tags, number of views and associated user data from Flickr to create the algorithm. They used this data to rank the effective success of a specific tag in contributing to the images view count. successful tags were recommended by this process that resulted in a 20-percent boost to the popularity of a post. It takes into account who created the post.
The algorithm is called the ‘user-aware folk popularity rank’ and it is the first of its kind. Wang intends to improve the effectiveness of the system as well as implement greater autonomy so it can generate tags of its own. She also hopes social media researchers could use these ideas to explore things like what makes someone popular online to begin with.
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Algorithm can help boost the popularity of social media posts
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