Lecture 3: Algorithmic Filters

This class we begin our study of filtering with some basic ideas about its role in journalism. There’s just way too much information produced every day, more than any one person can read by a factor of millions. We need software to help us deal with this flood. In this lecture, we discuss purely algorithmic approaches to filtering, with a look at how the Newsblaster system works (similar to Google News.)

Topics: How bad information overload actually is. The Newsblaster system, a precursor to Google News. Clustering together stories on the same event. Sorting stories into topics. Personalization. The filter bubble, and the filter design problem.

Slides (PDF)

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