Posted: November 25th, 2022
Data personalization on the open Web is a much discussed topic. Any time we access content on the open Web our data choices are tracked, captured, and used for various purposes. Watch this nine minute video and consider the implications of algorithmic “filter bubbles”.
1. How might machine filtering affect your research results?
2. How might these computer algorithms determine what you see about presidential candidates?
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