{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:08Z","timestamp":1750220348065,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T00:00:00Z","timestamp":1626825600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,7,21]]},"DOI":"10.1145\/3461702.3462618","type":"proceedings-article","created":{"date-parts":[[2021,7,31]],"date-time":"2021-07-31T01:21:32Z","timestamp":1627694492000},"page":"745-755","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity"],"prefix":"10.1145","author":[{"given":"David","family":"Liu","sequence":"first","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}]},{"given":"Zohair","family":"Shafi","sequence":"additional","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}]},{"given":"William","family":"Fleisher","sequence":"additional","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}]},{"given":"Tina","family":"Eliassi-Rad","sequence":"additional","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}]},{"given":"Scott","family":"Alfeld","sequence":"additional","affiliation":[{"name":"Amherst College, Amherst, MA, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,7,30]]},"reference":[{"volume-title":"The Stanford Encyclopedia of Philosophy, Edward N","author":"Arneson Richard","key":"e_1_3_2_1_1_1","unstructured":"Richard Arneson . 2015. Equality of Opportunity . In The Stanford Encyclopedia of Philosophy, Edward N . Zalta (Ed.). Stanford University . Richard Arneson. 2015. Equality of Opportunity. In The Stanford Encyclopedia of Philosophy, Edward N. Zalta (Ed.). Stanford University."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1004270811433"},{"key":"e_1_3_2_1_3_1","unstructured":"Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning .fairmlbook.org. Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning .fairmlbook.org."},{"volume-title":"Race After Technology: Abolitionist Tools for the New Jim Code","author":"Benjamin Ruha","key":"e_1_3_2_1_4_1","unstructured":"Ruha Benjamin . 2019. Race After Technology: Abolitionist Tools for the New Jim Code . Wiley . Ruha Benjamin. 2019. Race After Technology: Abolitionist Tools for the New Jim Code .Wiley."},{"key":"e_1_3_2_1_5_1","volume-title":"Chi","author":"Beutel Alex","year":"2017","unstructured":"Alex Beutel , Jilin Chen , Zhe Zhao , and Ed H . Chi . 2017 . Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. CoRR , Vol. abs\/ 1707 .00075 (2017). Alex Beutel, Jilin Chen, Zhe Zhao, and Ed H. Chi. 2017. Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. CoRR, Vol. abs\/1707.00075 (2017)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Reuben Binns. 2020. On the Apparent Conflict between Individual and Group Fairness. In FAT*. 514--524. Reuben Binns. 2020. On the Apparent Conflict between Individual and Group Fairness. In FAT*. 514--524.","DOI":"10.1145\/3351095.3372864"},{"key":"e_1_3_2_1_7_1","unstructured":"Tolga Bolukbasi Kai-Wei Chang James Y Zou Venkatesh Saligrama and Adam T Kalai. 2016. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. In NIPS. 4349--4357. Tolga Bolukbasi Kai-Wei Chang James Y Zou Venkatesh Saligrama and Adam T Kalai. 2016. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. In NIPS. 4349--4357."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Harry Brighouse. 2005. Justice. Polity. Harry Brighouse. 2005. Justice. Polity.","DOI":"10.12968\/sece.2005.12.531"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/11022.001.0001"},{"key":"e_1_3_2_1_10_1","volume-title":"Virgilio A. F. Almeida, and Mohammed J. Zaki.","author":"Cardoso Rodrigo L.","year":"2019","unstructured":"Rodrigo L. Cardoso , Wagner Meira Jr ., Virgilio A. F. Almeida, and Mohammed J. Zaki. 2019 . A Framework for Benchmarking Discrimination-Aware Models in Machine Learning. In AIES. 437--444. Rodrigo L. Cardoso, Wagner Meira Jr., Virgilio A. F. Almeida, and Mohammed J. Zaki. 2019. A Framework for Benchmarking Discrimination-Aware Models in Machine Learning. In AIES. 437--444."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Jiahao Chen Nathan Kallus Xiaojie Mao Geoffry Svacha and Madeleine Udell. 2019. Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved. In FAT*. 339--348. Jiahao Chen Nathan Kallus Xiaojie Mao Geoffry Svacha and Madeleine Udell. 2019. Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved. In FAT*. 339--348.","DOI":"10.1145\/3287560.3287594"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"YooJung Choi Golnoosh Farnadi Behrouz Babaki and Guy Van den Broeck. 2020. Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. In AAAI. 10077--10084. YooJung Choi Golnoosh Farnadi Behrouz Babaki and Guy Van den Broeck. 2020. Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. In AAAI. 10077--10084.","DOI":"10.1609\/aaai.v34i06.6565"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11948-009-9155-0"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2090236.2090255"},{"key":"e_1_3_2_1_15_1","volume-title":"Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor","author":"Eubanks Virginia","year":"2018","unstructured":"Virginia Eubanks . 2018 . Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor . St. Martin's Press . Virginia Eubanks. 2018. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor .St. Martin's Press."},{"key":"e_1_3_2_1_16_1","volume-title":"On the (im)possibility of fairness. CoRR","author":"Friedler Sorelle A.","year":"2016","unstructured":"Sorelle A. Friedler , Carlos Scheidegger , and Suresh Venkatasubramanian . 2016. On the (im)possibility of fairness. CoRR , Vol. abs\/ 1609 .07236 ( 2016 ). Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian. 2016. On the (im)possibility of fairness. CoRR, Vol. abs\/1609.07236 (2016)."},{"key":"e_1_3_2_1_17_1","volume-title":"Hello World: Being Human in the Age of Algorithms","author":"Fry Hannah","year":"2018","unstructured":"Hannah Fry . 2018 . Hello World: Being Human in the Age of Algorithms . W. W. Norton & Company . Hannah Fry. 2018. Hello World: Being Human in the Age of Algorithms .W. W. Norton & Company."},{"key":"e_1_3_2_1_18_1","volume-title":"AI Theory of Justice ': Using Rawlsian Approaches to Better Legislate on Machine Learning in Government. Available at SSRN 3588256","author":"Grace Jamie","year":"2020","unstructured":"Jamie Grace . 2020. ` AI Theory of Justice ': Using Rawlsian Approaches to Better Legislate on Machine Learning in Government. Available at SSRN 3588256 ( 2020 ). Jamie Grace. 2020. `AI Theory of Justice ': Using Rawlsian Approaches to Better Legislate on Machine Learning in Government. Available at SSRN 3588256 (2020)."},{"volume-title":"Psychology of learning and motivation.","author":"Hambrick David Z","key":"e_1_3_2_1_19_1","unstructured":"David Z Hambrick , Brooke N Macnamara , Guillermo Campitelli , Fredrik Ull\u00e9n , and Miriam A Mosing . 2016. Beyond born versus made: A new look at expertise . In Psychology of learning and motivation. Vol. 64 . Elsevier , 1--55. David Z Hambrick, Brooke N Macnamara, Guillermo Campitelli, Fredrik Ull\u00e9n, and Miriam A Mosing. 2016. Beyond born versus made: A new look at expertise. In Psychology of learning and motivation. Vol. 64. Elsevier, 1--55."},{"key":"e_1_3_2_1_20_1","unstructured":"Moritz Hardt Eric Price and Nati Srebro. 2016. Equality of Opportunity in Supervised Learning. In NIPS. 3315--3323. Moritz Hardt Eric Price and Nati Srebro. 2016. Equality of Opportunity in Supervised Learning. In NIPS. 3315--3323."},{"key":"e_1_3_2_1_21_1","unstructured":"Yuzi He Keith Burghardt and Kristina Lerman. 2020. A Geometric Solution to Fair Representations. In AIES. 279--285. Yuzi He Keith Burghardt and Kristina Lerman. 2020. A Geometric Solution to Fair Representations. In AIES. 279--285."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Hoda Heidari Michele Loi Krishna P. Gummadi and Andreas Krause. 2019. A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity. In FAT*. 181--190. Hoda Heidari Michele Loi Krishna P. Gummadi and Andreas Krause. 2019. A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity. In FAT*. 181--190.","DOI":"10.1145\/3287560.3287584"},{"key":"e_1_3_2_1_23_1","unstructured":"Matthew Joseph Michael Kearns Jamie H. Morgenstern and Aaron Roth. 2016. Fairness in Learning: Classic and Contextual Bandits. In NIPS. 325--333. Matthew Joseph Michael Kearns Jamie H. Morgenstern and Aaron Roth. 2016. Fairness in Learning: Classic and Contextual Bandits. In NIPS. 325--333."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Jian Kang Jingrui He Ross Maciejewski and Hanghang Tong. 2020. InFoRM: Individual Fairness on Graph Mining. In KDD. 379--389. Jian Kang Jingrui He Ross Maciejewski and Hanghang Tong. 2020. InFoRM: Individual Fairness on Graph Mining. In KDD. 379--389.","DOI":"10.1145\/3394486.3403080"},{"volume-title":"The Ethical Algorithm","author":"Kearns Michael","key":"e_1_3_2_1_25_1","unstructured":"Michael Kearns and Aaron Roth . 2019. The Ethical Algorithm . Oxford University Press . Michael Kearns and Aaron Roth. 2019. The Ethical Algorithm .Oxford University Press."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10676-017-9419-3"},{"key":"e_1_3_2_1_27_1","volume-title":"Shashank Ojha, and Daniel Kusbit.","author":"Lee Min Kyung","year":"2019","unstructured":"Min Kyung Lee , Anuraag Jain , Hea Jin Cha , Shashank Ojha, and Daniel Kusbit. 2019 . Procedural Justice in Algorithmic Fairness : Leveraging Transparency and Outcome Control for Fair Algorithmic Mediation. Proc. ACM Hum. Comput. Interact ., Vol. 3 (2019), 182:1--182:26. Min Kyung Lee, Anuraag Jain, Hea Jin Cha, Shashank Ojha, and Daniel Kusbit. 2019. Procedural Justice in Algorithmic Fairness: Leveraging Transparency and Outcome Control for Fair Algorithmic Mediation. Proc. ACM Hum. Comput. Interact., Vol. 3 (2019), 182:1--182:26."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpubeco.2009.07.008"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpubeco.2009.07.008"},{"key":"e_1_3_2_1_30_1","volume-title":"A Philosophical Theory of Fairness for Prediction -Based Decisions. Available at SSRN 3450300","author":"Loi Michele","year":"2019","unstructured":"Michele Loi , Anders Herlitz , and Hoda Heidari . 2019. A Philosophical Theory of Fairness for Prediction -Based Decisions. Available at SSRN 3450300 ( 2019 ). Michele Loi, Anders Herlitz, and Hoda Heidari. 2019. A Philosophical Theory of Fairness for Prediction -Based Decisions. Available at SSRN 3450300 (2019)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Alan Lundgard. 2020. Measuring Justice in Machine Learning. In FAT*. 680. Alan Lundgard. 2020. Measuring Justice in Machine Learning. In FAT*. 680.","DOI":"10.1145\/3351095.3372838"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10506-014-9156-4"},{"key":"e_1_3_2_1_33_1","volume-title":"Equality of Learning Opportunity in Personalized Recommendations. CoRR","author":"Marras Mirko","year":"2020","unstructured":"Mirko Marras , Ludovico Boratto , Guilherme Ramos , and Gianni Fenu . 2020. Equality of Learning Opportunity in Personalized Recommendations. CoRR , Vol. abs\/ 2006 .04282 ( 2020 ). Mirko Marras, Ludovico Boratto, Guilherme Ramos, and Gianni Fenu. 2020. Equality of Learning Opportunity in Personalized Recommendations. CoRR, Vol. abs\/2006.04282 (2020)."},{"key":"e_1_3_2_1_34_1","volume-title":"A Survey on Bias and Fairness in Machine Learning. CoRR","author":"Mehrabi Ninareh","year":"2019","unstructured":"Ninareh Mehrabi , Fred Morstatter , Nripsuta Saxena , Kristina Lerman , and Aram Galstyan . 2019. A Survey on Bias and Fairness in Machine Learning. CoRR , Vol. abs\/ 1908 .09635 ( 2019 ). Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2019. A Survey on Bias and Fairness in Machine Learning. CoRR, Vol. abs\/1908.09635 (2019)."},{"volume-title":"Intelligence and how to get it: Why schools and cultures count","author":"Nisbett Richard E","key":"e_1_3_2_1_35_1","unstructured":"Richard E Nisbett . 2009. Intelligence and how to get it: Why schools and cultures count . WW Norton & Company . Richard E Nisbett. 2009. Intelligence and how to get it: Why schools and cultures count .WW Norton & Company."},{"key":"e_1_3_2_1_36_1","volume-title":"Group differences in IQ are best understood as environmental in origin. American psychologist","author":"Nisbett Richard E","year":"2012","unstructured":"Richard E Nisbett , Joshua Aronson , Clancy Blair , William Dickens , James Flynn , Diane F Halpern , and Eric Turkheimer . 2012a. Group differences in IQ are best understood as environmental in origin. American psychologist , Vol. 67 , 6 ( 2012 ), 503--504. Richard E Nisbett, Joshua Aronson, Clancy Blair, William Dickens, James Flynn, Diane F Halpern, and Eric Turkheimer. 2012a. Group differences in IQ are best understood as environmental in origin. American psychologist, Vol. 67, 6 (2012), 503--504."},{"key":"e_1_3_2_1_37_1","volume-title":"Intelligence: new findings and theoretical developments. American psychologist","author":"Nisbett Richard E","year":"2012","unstructured":"Richard E Nisbett , Joshua Aronson , Clancy Blair , William Dickens , James Flynn , Diane F Halpern , and Eric Turkheimer . 2012b. Intelligence: new findings and theoretical developments. American psychologist , Vol. 67 , 2 ( 2012 ), 130--159. Richard E Nisbett, Joshua Aronson, Clancy Blair, William Dickens, James Flynn, Diane F Halpern, and Eric Turkheimer. 2012b. Intelligence: new findings and theoretical developments. American psychologist, Vol. 67, 2 (2012), 130--159."},{"volume-title":"Algorithms of Oppression: How Search Engines Reinforce","author":"Noble Safiya","key":"e_1_3_2_1_38_1","unstructured":"Safiya Noble . 2018. Algorithms of Oppression: How Search Engines Reinforce . NYU Press . Safiya Noble. 2018. Algorithms of Oppression: How Search Engines Reinforce .NYU Press."},{"key":"e_1_3_2_1_39_1","unstructured":"Cathy O'Neil. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy .Crown. Cathy O'Neil. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy .Crown."},{"key":"e_1_3_2_1_40_1","volume-title":"abs\/2001.09784","author":"Pessach Dana","year":"2020","unstructured":"Dana Pessach and Erez Shmueli . 2020. Algorithmic Fairness . Co RR , Vol . abs\/2001.09784 ( 2020 ). Dana Pessach and Erez Shmueli. 2020. Algorithmic Fairness. CoRR, Vol. abs\/2001.09784 (2020)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1080\/00455091.1981.10716306"},{"volume-title":"A Theory of Justice","author":"Rawls John","key":"e_1_3_2_1_42_1","unstructured":"John Rawls . 1971. A Theory of Justice . Harvard University Press . John Rawls. 1971. A Theory of Justice .Harvard University Press."},{"volume-title":"Rev. Ed","author":"Rawls John","key":"e_1_3_2_1_43_1","unstructured":"John Rawls . 1999. A Theory of Justice , Rev. Ed . Harvard University Press . John Rawls. 1999. A Theory of Justice, Rev. Ed .Harvard University Press ."},{"volume-title":"Justice as Fairness : A Restatement","author":"Rawls John","key":"e_1_3_2_1_44_1","unstructured":"John Rawls . 2001. Justice as Fairness : A Restatement . Harvard University Press . John Rawls. 2001. Justice as Fairness : A Restatement .Harvard University Press ."},{"volume-title":"Equality of Opportunity","author":"Roemer John E.","key":"e_1_3_2_1_45_1","unstructured":"John E. Roemer . 2009. Equality of Opportunity . Harvard University Press . John E. Roemer. 2009. Equality of Opportunity .Harvard University Press ."},{"key":"e_1_3_2_1_46_1","volume-title":"Roemer and Alain Trannoy","author":"John","year":"2015","unstructured":"John E. Roemer and Alain Trannoy . 2015 . Equality of Opportunity. In Handbook of Income Distribution. Vol. 2 . Elsevier , 217--300. John E. Roemer and Alain Trannoy. 2015. Equality of Opportunity. In Handbook of Income Distribution. Vol. 2. Elsevier, 217--300."},{"key":"e_1_3_2_1_47_1","volume-title":"Campus Recruitment: Academic and Employability Factors Influencing Placement. https:\/\/www.kaggle.com\/benroshan\/factors-affecting-campus-placement\/.","author":"Roshan Ben","year":"2020","unstructured":"Ben Roshan . 2020 . Campus Recruitment: Academic and Employability Factors Influencing Placement. https:\/\/www.kaggle.com\/benroshan\/factors-affecting-campus-placement\/. Ben Roshan. 2020. Campus Recruitment: Academic and Employability Factors Influencing Placement. https:\/\/www.kaggle.com\/benroshan\/factors-affecting-campus-placement\/."},{"key":"e_1_3_2_1_48_1","volume-title":"Artificial Intelligence: A Modern Approach","author":"Russell Stuart","year":"2009","unstructured":"Stuart Russell and Peter Norvig . 2009 . Artificial Intelligence: A Modern Approach 3 rd ed.). Prentice Hall Press , USA. Stuart Russell and Peter Norvig. 2009. Artificial Intelligence: A Modern Approach 3rd ed.). Prentice Hall Press, USA.","edition":"3"},{"key":"e_1_3_2_1_49_1","first-page":"1697","article-title":"Race and social justice: Rawlsian considerations","volume":"72","author":"Shelby Tommie","year":"2003","unstructured":"Tommie Shelby . 2003 . Race and social justice: Rawlsian considerations . Fordham L. Rev. , Vol. 72 (2003), 1697 . Tommie Shelby. 2003. Race and social justice: Rawlsian considerations. Fordham L. Rev., Vol. 72 (2003), 1697.","journal-title":"Fordham L. Rev."},{"key":"e_1_3_2_1_50_1","unstructured":"Pavan Subhash. 2017. IBM HR Analytics Employee Attrition & Performance. https:\/\/www.kaggle.com\/pavansubhasht\/ibm-hr-analytics-attrition-dataset. Pavan Subhash. 2017. IBM HR Analytics Employee Attrition & Performance. https:\/\/www.kaggle.com\/pavansubhasht\/ibm-hr-analytics-attrition-dataset."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1177\/174046810400100307"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1086\/598170"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13347-019-00355-w"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"crossref","unstructured":"Depeng Xu Yongkai Wu Shuhan Yuan Lu Zhang and Xintao Wu. 2019. Achieving Causal Fairness through Generative Adversarial Networks. In IJCAI. 1452--1458. Depeng Xu Yongkai Wu Shuhan Yuan Lu Zhang and Xintao Wu. 2019. Achieving Causal Fairness through Generative Adversarial Networks. In IJCAI. 1452--1458.","DOI":"10.24963\/ijcai.2019\/201"},{"key":"e_1_3_2_1_55_1","unstructured":"Junzhe Zhang and Elias Bareinboim. 2018. Equality of Opportunity in Classification: A Causal Approach. In NeurIPS. 3671--3681. Junzhe Zhang and Elias Bareinboim. 2018. Equality of Opportunity in Classification: A Causal Approach. In NeurIPS. 3671--3681."}],"event":{"name":"AIES '21: AAAI\/ACM Conference on AI, Ethics, and Society","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","AAAI"],"location":"Virtual Event USA","acronym":"AIES '21"},"container-title":["Proceedings of the 2021 AAAI\/ACM Conference on AI, Ethics, and Society"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3461702.3462618","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3461702.3462618","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:06Z","timestamp":1750191426000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3461702.3462618"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,21]]},"references-count":55,"alternative-id":["10.1145\/3461702.3462618","10.1145\/3461702"],"URL":"https:\/\/doi.org\/10.1145\/3461702.3462618","relation":{},"subject":[],"published":{"date-parts":[[2021,7,21]]},"assertion":[{"value":"2021-07-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}