Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
Recommender systems are the algorithms which select, filter, and personalize content across many of the world?s largest platforms and apps. As such, their positive and negative effects on individuals and on societies have been extensively theorized and studied. Our overarching question is how to ens...
Main Authors: | , , , , , , , , , , , , , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
ACM
2023
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Online Access: | https://hdl.handle.net/1721.1/153135 |