@inproceedings{ab444c393deb4f5288eb57f3ba87b1f2,
title = "4thKidRec workshop-{"}what does good look like?{"}: From design, research, and practice to policy",
abstract = "Data about people are constantly collected and stored to help understand patterns which can then be leveraged by information retrieval systems (IRS), such as search engines or recommender systems, to identify and rank resources that respond to diverse users' needs. As a significant group of technology users, children's data are also collected for IRS. In the 4th edition of our proposed workshop, we seek to continue to build professional community connected to children's IRS and expand on the framework identified in the 3rd KidRec that outlines how to evaluate good IRS. This time, we are particularly interested in exploring how design, research, and practice perspectives can cohesively define policy in this area.",
keywords = "children, ethics, evaluation, information retrieval",
author = "Monica Landoni and Fails, \{Jerry Alan\} and Theo Huibers and Natalia Kucirkova and Emiliana Murgia and Pera, \{Maria Soledad\}",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 2020 ACM Interaction Design and Children Conference, IDC 2020 ; Conference date: 17-06-2020 Through 24-06-2020",
year = "2020",
month = jun,
day = "21",
doi = "10.1145/3397617.3398057",
language = "English",
series = "Extended Abstracts - Proceedings of the 2020 ACM Interaction Design and Children Conference, IDC 2020",
pages = "103--110",
booktitle = "Extended Abstracts - Proceedings of the 2020 ACM Interaction Design and Children Conference, IDC 2020",
}