{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T06:10:31Z","timestamp":1775887831348,"version":"3.50.1"},"reference-count":15,"publisher":"Association for Computing Machinery (ACM)","issue":"7","license":[{"start":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T00:00:00Z","timestamp":1687392000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Commun. ACM"],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:p>Seeking to close the gap between research and real-world applications of PPAs.<\/jats:p>","DOI":"10.1145\/3597173","type":"journal-article","created":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T22:47:22Z","timestamp":1687474042000},"page":"24-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Learning to Live with Privacy-Preserving Analytics"],"prefix":"10.1145","volume":"66","author":[{"given":"Alessandro","family":"Acquisti","sequence":"first","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryan","family":"Steed","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,6,22]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.20170627"},{"key":"e_1_2_1_2_1","unstructured":"Agarwal A. and Singh R. Causal Inference with Corrupted Data: Measurement Error Missing Values Discretization and Differential Privacy. (2022); https:\/\/bit.ly\/3I2wi9j."},{"key":"e_1_2_1_3_1","volume-title":"d. Democracy's Data Infrastructure","author":"Bouk D.","unstructured":"Bouk, D. and boyd, d. Democracy's Data Infrastructure. Knight First Amendment Institute. https:\/\/bit.ly\/3pwPANM."},{"key":"e_1_2_1_4_1","unstructured":"Buntain C. Measuring the Ideology of Audiences for Web Links and Domains Using Differentially Private Engagement Data. (2021); https:\/\/bit.ly\/41oCyzj"},{"key":"e_1_2_1_5_1","volume-title":"Google's FLoC Is a Terrible Idea","author":"Cyphers B.","year":"2021","unstructured":"Cyphers, B. Google's FLoC Is a Terrible Idea. Electronic Frontier Foundation. (Oct. 2021); https:\/\/bit.ly\/42LiWX9."},{"key":"e_1_2_1_6_1","unstructured":"Desfontaines D. A list of real-world uses of differential privacy. Ted is writing things. (2021); https:\/\/bit.ly\/3BkS8kW."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1017\/pan.2022.1"},{"key":"e_1_2_1_8_1","volume-title":"Google. (May 16","author":"Goel V.","year":"2022","unstructured":"Goel, V. Get to know the new Topics API for Privacy Sandbox. Google. (May 16, 2022); https:\/\/bit.ly\/3Bjk34t."},{"key":"e_1_2_1_9_1","unstructured":"King G. and Persily N. Unprecedented Facebook URLs dataset now available for academic research through Social Science One. Social Science One. (202)); https:\/\/bit.ly\/3MlOCwZ."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.2010.004622"},{"key":"e_1_2_1_11_1","volume-title":"What's driving conflicts around differential privacy for the U.S. Census","author":"Nanayakkara P.","year":"2022","unstructured":"Nanayakkara, P. and Hullman, J. What's driving conflicts around differential privacy for the U.S. Census. IEEE Secur. Privacy (2022); https:\/\/bit.ly\/42RKU3D."},{"key":"e_1_2_1_12_1","unstructured":"Nguyen G. Google's Topics API: Advertisers share concerns about topic diversity and other potential challenges. Search Engine Land. (2022); https:\/\/bit.ly\/3VXKupP."},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1162\/99608f92.63a22079"},{"key":"e_1_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Sarathy J. et al. Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science. (2023); https:\/\/bit.ly\/3BkOmb0.","DOI":"10.1145\/3544548.3580791"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.abq4481"}],"container-title":["Communications of the ACM"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597173","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3597173","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:06Z","timestamp":1750182546000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597173"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,22]]},"references-count":15,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["10.1145\/3597173"],"URL":"https:\/\/doi.org\/10.1145\/3597173","relation":{},"ISSN":["0001-0782","1557-7317"],"issn-type":[{"value":"0001-0782","type":"print"},{"value":"1557-7317","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,22]]},"assertion":[{"value":"2023-06-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}