{"title":"隐私、两极分化和分裂性法律的通过","authors":"Benjamin Johnson, Paul Laskowski","doi":"10.1109/PAC.2018.00007","DOIUrl":null,"url":null,"abstract":"Notions of privacy are particularly salient to marginalized groups of people, especially when they find themselves disproportionately affected by the enforcement of laws. We use game theoretic modeling to explore the connections between privacy, polarization, and the divisiveness of laws. Our framework is based on a population of citizens that may be more or less polarized. A law is defined in terms of its effect on each citizen and must gain support from a majority in order to pass. We define a notion of divisiveness which allows us to measure the extent to which a law disproportionately affects different groups of citizens. Our framework allows us to explore four distinct notions of privacy, two that result from technological measures and two that emerge from legal theory. We find that privacy can prevent the passage of certain divisive laws, but the effects depend strongly on which type of privacy is in use.","PeriodicalId":208309,"journal":{"name":"2018 IEEE Symposium on Privacy-Aware Computing (PAC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Privacy, Polarization, and Passage of Divisive Laws\",\"authors\":\"Benjamin Johnson, Paul Laskowski\",\"doi\":\"10.1109/PAC.2018.00007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Notions of privacy are particularly salient to marginalized groups of people, especially when they find themselves disproportionately affected by the enforcement of laws. We use game theoretic modeling to explore the connections between privacy, polarization, and the divisiveness of laws. Our framework is based on a population of citizens that may be more or less polarized. A law is defined in terms of its effect on each citizen and must gain support from a majority in order to pass. We define a notion of divisiveness which allows us to measure the extent to which a law disproportionately affects different groups of citizens. Our framework allows us to explore four distinct notions of privacy, two that result from technological measures and two that emerge from legal theory. We find that privacy can prevent the passage of certain divisive laws, but the effects depend strongly on which type of privacy is in use.\",\"PeriodicalId\":208309,\"journal\":{\"name\":\"2018 IEEE Symposium on Privacy-Aware Computing (PAC)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Symposium on Privacy-Aware Computing (PAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PAC.2018.00007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Symposium on Privacy-Aware Computing (PAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PAC.2018.00007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Privacy, Polarization, and Passage of Divisive Laws
Notions of privacy are particularly salient to marginalized groups of people, especially when they find themselves disproportionately affected by the enforcement of laws. We use game theoretic modeling to explore the connections between privacy, polarization, and the divisiveness of laws. Our framework is based on a population of citizens that may be more or less polarized. A law is defined in terms of its effect on each citizen and must gain support from a majority in order to pass. We define a notion of divisiveness which allows us to measure the extent to which a law disproportionately affects different groups of citizens. Our framework allows us to explore four distinct notions of privacy, two that result from technological measures and two that emerge from legal theory. We find that privacy can prevent the passage of certain divisive laws, but the effects depend strongly on which type of privacy is in use.