Collaborative tool to support investigation of personalization algorithms.

Our vision is to increase transparency behind personalization algorithms., is two things: a web browser add-on that collects the stories visible in your Facebook Newsfeed, and a website that aggregates that data from all the users who have the addon installed. Our mission is to help researchers and users assessing how current filtering mechanisms work. Personalization algorithms should be modified in order to minimize the dangerous social effects of which they are indirectly responsible and to maximize the values, both individual and social, that algorithms should incorporate. @ SHA2017 was last modified: February 8th, 2018 by Claudio Claudio Agosti

Also published on Medium.

CC BY-NC-SA 4.0 @ SHA2017 by Claudio Claudio Agosti is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


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