{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:15:07Z","timestamp":1775283307689,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T00:00:00Z","timestamp":1634860800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science Foundation Ireland (SFI)","award":["SFI\/12\/RC\/2289_P2"],"award-info":[{"award-number":["SFI\/12\/RC\/2289_P2"]}]},{"name":"A+ Alliance \/ Women at the Table","award":["Inaugural Tech Fellow 2020\/2021"],"award-info":[{"award-number":["Inaugural Tech Fellow 2020\/2021"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,24]]},"DOI":"10.1145\/3475731.3484956","type":"proceedings-article","created":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T16:12:25Z","timestamp":1634919145000},"page":"19-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Dataset Diversity"],"prefix":"10.1145","author":[{"given":"Abhishek","family":"Mandal","sequence":"first","affiliation":[{"name":"Dublin City University, Dublin, Ireland"}]},{"given":"Susan","family":"Leavy","sequence":"additional","affiliation":[{"name":"University College Dublin, Dublin, Ireland"}]},{"given":"Suzanne","family":"Little","sequence":"additional","affiliation":[{"name":"Dublin City University, Dublin, Ireland"}]}],"member":"320","published-online":{"date-parts":[[2021,10,22]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Joy Buolamwini and Timnit Gebru. [n.d.]. Gender Shades. http:\/\/gendershades. org\/overview.html  Joy Buolamwini and Timnit Gebru. [n.d.]. Gender Shades. http:\/\/gendershades. org\/overview.html"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00020"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3415210"},{"key":"e_1_3_2_2_4_1","unstructured":"Megan Rose Dickey. 2020. Twitter and Zoom's algorithmic bias issues. https: \/\/techcrunch.com\/2020\/09\/21\/twitter-and-zoom-algorithmic-bias-issues  Megan Rose Dickey. 2020. Twitter and Zoom's algorithmic bias issues. https: \/\/techcrunch.com\/2020\/09\/21\/twitter-and-zoom-algorithmic-bias-issues"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00159"},{"key":"e_1_3_2_2_6_1","unstructured":"Tero Karras Samuli Laine and Timo Aila. [n.d.]. NVlabs\/ffhq-dataset. https: \/\/github.com\/NVlabs\/ffhq-dataset  Tero Karras Samuli Laine and Timo Aila. [n.d.]. NVlabs\/ffhq-dataset. https: \/\/github.com\/NVlabs\/ffhq-dataset"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/2948739"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3457607"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.41"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_2_12_1","unstructured":"James Vincent. 2020. What a machine learning tool that turns Obama white can (and can't) tell us about AI bias. https:\/\/www.theverge.com\/21298762\/facedepixelizer- ai-machine-learning-tool-pulse-stylegan-obama-bias  James Vincent. 2020. What a machine learning tool that turns Obama white can (and can't) tell us about AI bias. https:\/\/www.theverge.com\/21298762\/facedepixelizer- ai-machine-learning-tool-pulse-stylegan-obama-bias"},{"key":"e_1_3_2_2_13_1","volume-title":"REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. In Computer Vision -- ECCV","author":"Wang Angelina","year":"2020"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.463"}],"event":{"name":"MM '21: ACM Multimedia Conference","location":"Virtual Event China","acronym":"MM '21","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 1st International Workshop on Trustworthy AI for Multimedia Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3475731.3484956","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3475731.3484956","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:19Z","timestamp":1750193299000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3475731.3484956"}},"subtitle":["Measuring and Mitigating Geographical Bias in Image Search and Retrieval"],"short-title":[],"issued":{"date-parts":[[2021,10,22]]},"references-count":14,"alternative-id":["10.1145\/3475731.3484956","10.1145\/3475731"],"URL":"https:\/\/doi.org\/10.1145\/3475731.3484956","relation":{},"subject":[],"published":{"date-parts":[[2021,10,22]]},"assertion":[{"value":"2021-10-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}