Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization
Year: 2018
Type: dissertation
Abstract: This research is aimed at breaking online political filter bubbles. We present a system that uses artificial intelligence and human computation to automatically collect article metadata on political content and thereby enables diverse personalization on content-serving platforms. This way, exploring alternative viewpoints could become as simple as checking your feed.
Author: van Zoest, Max (author)
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7051800986
