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Volumn 18, Issue 12, 2016, Pages

Automated Decision-Making and Big Data: Concerns for People With Mental Illness

Author keywords

Algorithms; Automated decision making; Big data; Mental illness; Privacy

Indexed keywords

ACCESS TO INFORMATION; ALGORITHM; ANALYTICAL ERROR; AUTOMATION; COMPUTER SECURITY; DATA PROCESSING; DECISION SUPPORT SYSTEM; FRAUD; HUMAN; INFORMATION TECHNOLOGY; MEDICAL DECISION MAKING; MENTAL DISEASE; ONLINE ANALYSIS; PROTECTION; REVIEW; SOCIAL MEDIA; SOCIAL STIGMA; PRIVACY;

EID: 84992560576     PISSN: 15233812     EISSN: 15351645     Source Type: Journal    
DOI: 10.1007/s11920-016-0746-6     Document Type: Review
Times cited : (35)

References (148)
  • 1
    • 84929212571 scopus 로고    scopus 로고
    • Harvard University Press, Cambridge: Book for general public on widespread use and implications of algorithmic decision-maki
    • •Pasquale F. The black box society. The secret algorithms that control money and information. Cambridge: Harvard University Press; 2015. Book for general public on widespread use and implications of algorithmic decision-making.
    • (2015) The black box society. The secret algorithms that control money and information
    • Pasquale, F.1
  • 2
    • 84979663487 scopus 로고    scopus 로고
    • Big data, big decisions for science, society, and business: report on a research agenda setting workshop
    • Markus ML, Topi H. Big data, big decisions for science, society, and business: report on a research agenda setting workshop. ACM Technical Report. 2015. http://dl.acm.org/citation.cfm?id=2849516. Accessed 1 Aug 2016.
    • (2015) ACM Technical Report
    • Markus, M.L.1    Topi, H.2
  • 3
    • 84912571809 scopus 로고    scopus 로고
    • New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet
    • Glenn T, Monteith S. New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet. Curr Psychiatr Rep. 2014;16:1.
    • (2014) Curr Psychiatr Rep , vol.16 , pp. 1
    • Glenn, T.1    Monteith, S.2
  • 5
    • 84992583335 scopus 로고    scopus 로고
    • MIT Technology Review. . 2013. Accessed 1 Aug 201
    • MIT Technology Review. Big data gets personal business report. 2013. https://www.technologyreview.com/business-report/big-data-gets-personal/. Accessed 1 Aug 2016.
    • (2013) Big data gets personal business report
  • 7
    • 84950980895 scopus 로고    scopus 로고
    • The filter bubble: how the new personalized web is changing what we read and how we think
    • Pariser E. The filter bubble: how the new personalized web is changing what we read and how we think. Penguin Books; 2011.
    • (2011) Penguin Books
    • Pariser, E.1
  • 8
    • 77954749027 scopus 로고    scopus 로고
    • Technological due process
    • Citron DK. Technological due process. Wash Univ Law Rev. 2008;85:1249–313.
    • (2008) Wash Univ Law Rev , vol.85 , pp. 1249-1313
    • Citron, D.K.1
  • 9
    • 84992637313 scopus 로고    scopus 로고
    • From daguerreotypes to algorithms: machines, expertise, and three forms of objectivity
    • Christin A. From daguerreotypes to algorithms: machines, expertise, and three forms of objectivity. ACM SIGCAS Comput Soc. 2016;46:27–32.
    • (2016) ACM SIGCAS Comput Soc , vol.46 , pp. 27-32
    • Christin, A.1
  • 11
    • 84992563672 scopus 로고    scopus 로고
    • •. 2016. Accessed 1 Aug 2016. Report of potential negative impacts of big data on civil rights with recommendations
    • •Executive Office of the President. Big data: a report on algorithmic systems, opportunity, and civil rights. 2016. https://www.whitehouse.gov/sites/default/files/microsites/ostp/2016_0504_data_discrimination.pdf Accessed 1 Aug 2016. Report of potential negative impacts of big data on civil rights with recommendations.
    • (2016) Executive Office of the President. Big data: a report on algorithmic systems, opportunity, and civil rights
  • 12
    • 84992649767 scopus 로고    scopus 로고
    • The personalized and the personal: socially responsible innovation through big data
    • Guszcza J, Schweidel D, Dutta S. The personalized and the personal: socially responsible innovation through big data. Deloitte Review No 14. 2014. http://dupress.com/articles/dr14-personalized-and-personal/. Accessed 1 Aug 2016.
    • (2014) Deloitte Review No , pp. 14
    • Guszcza, J.1    Schweidel, D.2    Dutta, S.3
  • 13
    • 82455191171 scopus 로고    scopus 로고
    • WEF (World Economic Forum). . 2011. Accessed 1 Aug 201
    • WEF (World Economic Forum). Personal data: the emergence of a new asset class. 2011. https://www.weforum.org/reports/personal-data-emergence-new-asset-class/. Accessed 1 Aug 2016.
    • (2011) Personal data: the emergence of a new asset class
  • 14
    • 85056226112 scopus 로고    scopus 로고
    • Big data: a tool for inclusion or Exclusion?
    • FTC (Federal Trade Commission). Big data: a tool for inclusion or Exclusion? Understanding the issues (FTC Report). 2016. https://www.ftc.gov/reports/big-data-tool-inclusion-or-exclusion-understanding-issues-ftc-report. Accessed 1 Aug 2016.
    • (2016) Understanding the issues (FTC Report)
  • 15
    • 84861974217 scopus 로고    scopus 로고
    • Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon
    • Boyd D, Crawford K. Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon. Inf Commun Soc. 2012;15:662–79.
    • (2012) Inf Commun Soc , vol.15 , pp. 662-679
    • Boyd, D.1    Crawford, K.2
  • 16
    • 84948706272 scopus 로고    scopus 로고
    • A theory of creepy: technology, privacy and shifting social norms
    • Report on big data and changing social norms from legal perspecti
    • •Tene O, Polonetsky J. A theory of creepy: technology, privacy and shifting social norms. Yale JL Technol. 2013;16:59. Report on big data and changing social norms from legal perspective.
    • (2013) Yale JL Technol , vol.16 , pp. 59
    • Tene, O.1    Polonetsky, J.2
  • 17
    • 84992546468 scopus 로고    scopus 로고
    • . Accessed 1 Aug 201
    • NIMH. Statistics. http://www.nimh.nih.gov/health/statistics/index.shtml. 2016. Accessed 1 Aug 2016.
    • (2016) NIMH. Statistics
  • 18
    • 84912527446 scopus 로고    scopus 로고
    • Privacy in the digital world: medical and health data outside of HIPAA protections
    • Glenn T, Monteith S. Privacy in the digital world: medical and health data outside of HIPAA protections. Curr Psychiatr Rep. 2014;16:494.
    • (2014) Curr Psychiatr Rep , vol.16 , pp. 494
    • Glenn, T.1    Monteith, S.2
  • 19
    • 84953316131 scopus 로고    scopus 로고
    • Availability of prescription drugs for bipolar disorder at online pharmacies
    • PID: 267660
    • Monteith S, Glenn T, Bauer R, et al. Availability of prescription drugs for bipolar disorder at online pharmacies. J Affect Disord. 2016;193:59–65.
    • (2016) J Affect Disord , vol.193 , pp. 59-65
    • Monteith, S.1    Glenn, T.2    Bauer, R.3
  • 20
    • 84952812203 scopus 로고    scopus 로고
    • OPC (Office of the Privacy Commissioner of Canada).. 2014. Accessed 1 Aug 201
    • OPC (Office of the Privacy Commissioner of Canada). Metadata and privacy—a technical and legal overview. 2014. https://www.priv.gc.ca/information/research-recherche/2014/md_201410_e.asp. Accessed 1 Aug 2016.
    • (2014) Metadata and privacy—a technical and legal overview
  • 21
    • 84961586769 scopus 로고    scopus 로고
    • •ACLU of California. . 2014. Accessed 1 Aug 2016. Report on the importance and sensitivity of metadat
    • •ACLU of California. Metadata: piecing together a Format solution. 2014. https://www.aclunc.org/publications/metadata-piecing-together-privacy-solution Accessed 1 Aug 2016. Report on the importance and sensitivity of metadata.
    • (2014) Metadata: piecing together a Format solution
  • 22
    • 84992647826 scopus 로고    scopus 로고
    • Why should we care what Fitbit shares—a proposed statutory solution to protect sensitive personal fitness information
    • Christovich MM. Why should we care what Fitbit shares—a proposed statutory solution to protect sensitive personal fitness information. Hast Commun Ent LJ. 2016;38:91.
    • (2016) Hast Commun Ent LJ , vol.38 , pp. 91
    • Christovich, M.M.1
  • 23
    • 84992668228 scopus 로고    scopus 로고
    • The Internet of Things that talk about you behind your back
    • Schneier B. The Internet of Things that talk about you behind your back. Schneier on Security. 2016. https://www.schneier.com/blog/archives/2016/01/the_internet_of.html. Accessed 1 Aug 2016.
    • (2016) Schneier on Security
    • Schneier, B.1
  • 24
    • 84992666502 scopus 로고    scopus 로고
    • •Pentland A. Reinventing society in the wake of big data. Edge. 2012. Accessed 1 Aug 2016
    • •Pentland A. Reinventing society in the wake of big data. Edge. 2012. https://www.edge.org/conversation/alex_sandy_pentland-reinventing-society-in-the-wake-of-big-data. Accessed 1 Aug 2016. Short interview with Alex (Sandy) Pentland, pioneering computer scientist from MIT Media Lab.
    • (2012) Short interview with Alex (Sandy) Pentland, pioneering computer scientist from MIT Media Lab.
  • 25
    • 84936941103 scopus 로고    scopus 로고
    • Martin KE. Ethical issues in the big data industry. . (14:2
    • Martin KE. Ethical issues in the big data industry. MIS Quarterly Executive. 2015 (14:2).
    • (2015) MIS Quarterly Executive
  • 27
    • 84992569945 scopus 로고    scopus 로고
    • Washington AL. Accessed 1 Aug 201
    • Washington AL. Can big data be described as a data supply chain? 2014. Available at SSRN: http://ssrn.com/abstract=2577989. Accessed 1 Aug 2016.
    • (2014) Can big data be described as a data supply chain?
  • 28
    • 84992667123 scopus 로고    scopus 로고
    • ••PCAST (President’s Council of Advisors on Science and Technology). Big data and privacy: a technological perspective. 2014. Accessed 1 Aug 2016
    • ••PCAST (President’s Council of Advisors on Science and Technology). Big data and privacy: a technological perspective. 2014. http://www.whitehouse.gov/sites/default/files/microsites/ostp/PCAST/pcast_big_data_and_privacy_-_may_2014.pdf Accessed 1 Aug 2016. Report on challenges to privacy from big data with recommendations.
    • (2014) Report on challenges to privacy from big data with recommendations
  • 29
  • 30
    • 84892154560 scopus 로고    scopus 로고
    • The hidden biases in big data
    • Crawford, K. The hidden biases in big data. Harv Bus Rev. 2013. http://blogs.hbr.org/2013/04/the-hidden-biases-in-big-data. Accessed 1 Aug 2016.
    • (2013) Harv Bus Rev
    • Crawford, K.1
  • 31
    • 85046284551 scopus 로고    scopus 로고
    • Big data are coming to psychiatry: a general introduction
    • PID: 264405
    • Monteith S, Glenn T, Geddes J, et al. Big data are coming to psychiatry: a general introduction. Int J Bipolar Disord. 2015;3(1):21.
    • (2015) Int J Bipolar Disord , vol.3 , Issue.1 , pp. 21
    • Monteith, S.1    Glenn, T.2    Geddes, J.3
  • 33
    • 84992677984 scopus 로고    scopus 로고
    • ••NRC (National Research Council US) Commititee on the Analysis of Massive Data. Frontiers in massive data analysis. 2013. Accessed 1 Aug 2016
    • ••NRC (National Research Council US) Commititee on the Analysis of Massive Data. Frontiers in massive data analysis. 2013. http://www.nap.edu/catalog/18374/frontiers-in-massive-data-analysis Accessed 1 Aug 2016. Overview book on the technical challenges in the analysis of big data.
    • Overview book on the technical challenges in the analysis of big data
  • 35
    • 85104787192 scopus 로고    scopus 로고
    • Credit scoring, statistical techniques and evaluation criteria: a review of the literature
    • Abdou HA, Pointon J. Credit scoring, statistical techniques and evaluation criteria: a review of the literature. Intell Syst Account Finan Manag. 2011;18:59–88.
    • (2011) Intell Syst Account Finan Manag , vol.18 , pp. 59-88
    • Abdou, H.A.1    Pointon, J.2
  • 36
    • 84957863731 scopus 로고    scopus 로고
    • Accountability in algorithmic decision making
    • Diakopoulos N. Accountability in algorithmic decision making. Commun ACM. 2016;59:56–62.
    • (2016) Commun ACM , vol.59 , pp. 56-62
    • Diakopoulos, N.1
  • 38
    • 84919389078 scopus 로고    scopus 로고
    • Challenges of big data analysis
    • PID: 254194
    • Fan J, Han F, Liu H. Challenges of big data analysis. Natl Sci Rev. 2014;1:293–314.
    • (2014) Natl Sci Rev , vol.1 , pp. 293-314
    • Fan, J.1    Han, F.2    Liu, H.3
  • 39
    • 84867539048 scopus 로고    scopus 로고
    • A few useful things to know about machine learning
    • Domingos P. A few useful things to know about machine learning. Commun ACM. 2012;55:78–87.
    • (2012) Commun ACM , vol.55 , pp. 78-87
    • Domingos, P.1
  • 40
    • 84890008245 scopus 로고    scopus 로고
    • The impact of overfitting and overgeneralization on the classification accuracy in data mining
    • Soft computing for knowledge discovery and data mining, Springe
    • Pham HN, Triantaphyllou E. The impact of overfitting and overgeneralization on the classification accuracy in data mining. In: Maimon O, Rokach L, editors. Soft computing for knowledge discovery and data mining. Springer US. 2008. p. 391–431.
    • (2008) Maimon O , pp. 391-431
    • Pham, H.N.1    Triantaphyllou, E.2    Rokach, L.3
  • 41
    • 84894107954 scopus 로고    scopus 로고
    • Selection bias in credit scorecard evaluation
    • Hand DJ, Adams NM. Selection bias in credit scorecard evaluation. J Oper Res Soc. 2014;65:408–15.
    • (2014) J Oper Res Soc , vol.65 , pp. 408-415
    • Hand, D.J.1    Adams, N.M.2
  • 42
    • 84897791696 scopus 로고    scopus 로고
    • Beyond big data
    • Varian HR. Beyond big data. Bus Econ. 2014;49:27–31.
    • (2014) Bus Econ , vol.49 , pp. 27-31
    • Varian, H.R.1
  • 43
    • 85011556815 scopus 로고    scopus 로고
    • Big data, big questions: the big data divide
    • Andrejevic M. Big data, big questions: the big data divide. Int J Commun. 2014;8:1673–89.
    • (2014) Int J Commun , vol.8 , pp. 1673-1689
    • Andrejevic, M.1
  • 44
    • 84953212588 scopus 로고    scopus 로고
    • Degrees of freedom, dimensions of power
    • Benkler Y. Degrees of freedom, dimensions of power. Daedalus. 2016;145:18–32.
    • (2016) Daedalus , vol.145 , pp. 18-32
    • Benkler, Y.1
  • 45
    • 84992581631 scopus 로고    scopus 로고
    • Accessed 1 Aug 201
    • Acxiom. Acxiom Corporation annual report 2014. http://files.shareholder.com/downloads/ACXM/0x0x763250/A1DBFBD8-E136-4701-B0F2-3DC695E5ED08/acxiom2014_Annual_Report_FINAL_RRD_PDF_.pdf. Accessed 1 Aug 2016.
    • Acxiom. Acxiom Corporation annual report 2014
  • 46
    • 84876343343 scopus 로고    scopus 로고
    • New directions in privacy: disclosure, unfairness and externalities
    • MacCarthy M. New directions in privacy: disclosure, unfairness and externalities. ISJLP. 2010;6:425.
    • (2010) ISJLP , vol.6 , pp. 425
    • MacCarthy, M.1
  • 47
    • 84952317192 scopus 로고    scopus 로고
    • Privacy as a public good
    • Fairfield JA, Engel C. Privacy as a public good. Duke Law J. 2015;65:385–569.
    • (2015) Duke Law J , vol.65 , pp. 385-569
    • Fairfield, J.A.1    Engel, C.2
  • 48
    • 84906046016 scopus 로고    scopus 로고
    • Accessed 1 Aug 201
    • FTC. Data brokers a call for transparency and accountability. 2014. https://www.ftc.gov/system/files/documents/reports/data-brokers-call-transparency-accountability-report-federal-trade-commission-may-2014/140527databrokerreport.pdf. Accessed 1 Aug 2016.
    • (2014) FTC. Data brokers a call for transparency and accountability
  • 49
    • 84992581630 scopus 로고    scopus 로고
    • Secret consumer scores and segmentations: separating consumer ‘haves’ from ‘have-nots’
    • Schmitz A. Secret consumer scores and segmentations: separating consumer ‘haves’ from ‘have-nots’. Michigan State Law Rev. 2014:1411.
    • (2014) Michigan State Law Rev , pp. 1411
    • Schmitz, A.1
  • 52
    • 84900551156 scopus 로고    scopus 로고
    • Prediction, preemption, presumption: how big data threatens big picture privacy
    • Kerr I, Earle J. Prediction, preemption, presumption: how big data threatens big picture privacy. Stanf Law Rev Online. 2013;66:65.
    • (2013) Stanf Law Rev Online , vol.66 , pp. 65
    • Kerr, I.1    Earle, J.2
  • 53
    • 84992534842 scopus 로고    scopus 로고
    • The scoring of America: how secret consumer scores threaten your privacy and your future
    • Dixon P, Gellman B. The scoring of America: how secret consumer scores threaten your privacy and your future. World Privacy Forum. 2014. https://www.worldprivacyforum.org/2014/04/wpf-report-the-scoring-of-america-how-secret-consumer-scores-threaten-your-privacy-and-your-future/. Accessed 1 Aug 2016.
    • (2014) World Privacy Forum
    • Dixon, P.1    Gellman, B.2
  • 54
    • 84957400719 scopus 로고    scopus 로고
    • FDIC (Federal Deposit Insurance Corporation). . Accessed 1 Aug 201
    • FDIC (Federal Deposit Insurance Corporation). Scoring and modeling. 2007. https://www.fdic.gov/regulations/examinations/credit_card/pdf_version/ch8.pdf. Accessed 1 Aug 2016.
    • (2007) Scoring and modeling
  • 55
    • 84897434478 scopus 로고    scopus 로고
    • The scored society: due process for automated predictions
    • Citron DK, Pasquale FA. The scored society: due process for automated predictions. Washington Law Rev. 2014;89.
    • (2014) Washington Law Rev , pp. 89
    • Citron, D.K.1    Pasquale, F.A.2
  • 56
    • 84981271501 scopus 로고    scopus 로고
    • Thinking critically about and researching algorithms
    • Kitchin R. Thinking critically about and researching algorithms. The Programmable City. 2014. http://eprints.maynoothuniversity.ie/5715/1/RK_Thinking-Critically.pdf. Accessed 1 Aug 2016.
    • (2014) The Programmable City
    • Kitchin, R.1
  • 57
    • 79951867801 scopus 로고    scopus 로고
    • Citron, DK, . University of Chicago Legal Forum. 2008. p 355–387. U of Maryland Legal Studies Research Paper No. 2008-1. Accessed 1 Aug 201
    • Citron, DK, Open code governance. University of Chicago Legal Forum. 2008. p 355–387. U of Maryland Legal Studies Research Paper No. 2008-1. http://ssrn.com/abstract=1081689. Accessed 1 Aug 2016.
    • (2008) Open code governance
  • 58
    • 84992677929 scopus 로고    scopus 로고
    • Algorithmic accountability reporting: on the investigation of black boxes. Tow Center for Digital Journalism, Columbia Journalism School
    • Diakopoulos N. Algorithmic accountability reporting: on the investigation of black boxes. Tow Center for Digital Journalism, Columbia Journalism School, New York NY. 2013. http://towcenter.org/research/algorithmic-accountability-on-the-investigation-of-black-boxes-2/. Accessed 1 Aug 2016.
    • (2013) New York NY
    • Diakopoulos, N.1
  • 60
    • 84900849170 scopus 로고    scopus 로고
    • A multidisciplinary survey on discrimination analysis
    • Romei A, Ruggieri S. A multidisciplinary survey on discrimination analysis. Knowl Eng Rev. 2014;29:582–638.
    • (2014) Knowl Eng Rev , vol.29 , pp. 582-638
    • Romei, A.1    Ruggieri, S.2
  • 61
    • 84992585222 scopus 로고    scopus 로고
    • Future of privacy forum workshop on big data and privacy: making ends meet
    • Hoofnagle CJ. How the fair credit reporting act regulates big data (September 10, 2013). Future of privacy forum workshop on big data and privacy: making ends meet. 2013 http://ssrn.com/abstract=2432955. Accessed 1 Aug 2016.
    • (2013) 2013
  • 62
    • 84992638522 scopus 로고    scopus 로고
    • Find out what big data knows about you (it may be very wrong)
    • Hicken M. Find out what big data knows about you (it may be very wrong). CNN. 2013. http://money.cnn.com/2013/09/05/pf/acxiom-consumer-data/. Accessed 1 Aug 2016.
    • (2013) CNN
    • Hicken, M.1
  • 64
    • 84992589332 scopus 로고    scopus 로고
    • A review of the data broker industry: collection, use
    • Senate. A review of the data broker industry: collection, use, and sale of consumer data for marketing purposes. 2013. https://www.commerce.senate.gov/public/_cache/files/0d2b3642-6221-4888-a631-08f2f255b577/AE5D72CBE7F44F5BFC846BECE22C875B.12.18.13-senate-commerce-committee-report-on-data-broker-industry.pdf. Accessed 1 Aug 2016.
    • (2013) and sale of consumer data for marketing purposes
  • 65
    • 84959138494 scopus 로고    scopus 로고
    • Why Ben Bernanke can’t refinance his mortgage
    • Irwin N. Why Ben Bernanke can’t refinance his mortgage. The New York Times. 2014. http://www.nytimes.com/2014/10/03/upshot/why-ben-bernanke-cant-refinance-his-mortgage.html?_r=0. Accessed 1 Aug 2016.
    • (2014) The New York Times
    • Irwin, N.1
  • 66
    • 84992585237 scopus 로고    scopus 로고
    • FDA: software failures responsible for 24 percent of all medical device recalls
    • FDA. FDA: software failures responsible for 24 percent of all medical device recalls. FDAnews Device Daily Bulletin. 2012. http://www.fdanews.com/articles/147391-fda-software-failures-responsible-for-24-percent-of-all-medical-device-recalls. Accessed 1 Aug 2016.
    • (2012) FDAnews Device Daily Bulletin
  • 67
    • 84992531893 scopus 로고    scopus 로고
    • Successful and schizophrenic
    • Saks ER. Successful and schizophrenic. The New York Times. 2013. http://www.nytimes.com/2013/01/27/opinion/sunday/schizophrenic-not-stupid.html?_r=0. Accessed 1 Aug 2016.
    • (2013) The New York Times
    • Saks, E.R.1
  • 68
    • 84922012959 scopus 로고    scopus 로고
    • Zarsky T. Understanding discrimination in the scored society. . ;89(4
    • Zarsky T. Understanding discrimination in the scored society. Washington Law Review. 2014;89(4).
    • (2014) Washington Law Review
  • 69
    • 79953743364 scopus 로고    scopus 로고
    • Relationship between household income and mental disorders: findings from a population-based longitudinal study
    • PID: 214643
    • Sareen J, Afifi TO, McMillan KA, et al. Relationship between household income and mental disorders: findings from a population-based longitudinal study. Arch Gen Psychiatry. 2011;68:419–27.
    • (2011) Arch Gen Psychiatry , vol.68 , pp. 419-427
    • Sareen, J.1    Afifi, T.O.2    McMillan, K.A.3
  • 70
    • 84945490441 scopus 로고    scopus 로고
    • Long-term effects of mental disorders on employment in the National Comorbidity Survey ten-year follow-up
    • PID: 262116
    • Mojtabai R, Stuart EA, Hwang I, et al. Long-term effects of mental disorders on employment in the National Comorbidity Survey ten-year follow-up. Soc Psychiatry Psychiatr Epidemiol. 2015;50:1657–68.
    • (2015) Soc Psychiatry Psychiatr Epidemiol , vol.50 , pp. 1657-1668
    • Mojtabai, R.1    Stuart, E.A.2    Hwang, I.3
  • 71
    • 33750547095 scopus 로고    scopus 로고
    • Employment barriers for persons with psychiatric disabilities: update of a report for the President’s Commission
    • PID: 170355
    • Cook JA. Employment barriers for persons with psychiatric disabilities: update of a report for the President’s Commission. Psychiatr Serv. 2006;57:1391–405.
    • (2006) Psychiatr Serv , vol.57 , pp. 1391-1405
    • Cook, J.A.1
  • 72
    • 84960855606 scopus 로고    scopus 로고
    • Interest in technology-based therapies hampered by access: a survey of veterans with serious mental illnesses
    • Klee A, Stacy M, Rosenheck R et al. Interest in technology-based therapies hampered by access: a survey of veterans with serious mental illnesses. Psychiatr Rehabil J. 2016.
    • (2016) Psychiatr Rehabil J
    • Klee, A.1    Stacy, M.2    Rosenheck, R.3
  • 73
    • 84991478637 scopus 로고    scopus 로고
    • Interest in use of technology for healthcare among veterans receiving treatment for mental health
    • Miller CJ, McInnes DK, Stolzmann K et al. Interest in use of technology for healthcare among veterans receiving treatment for mental health. Telemed J E Health. 2016.
    • (2016) Telemed J E Health
    • Miller, C.J.1    McInnes, D.K.2    Stolzmann, K.3
  • 74
    • 27844598334 scopus 로고    scopus 로고
    • Blumberg SJ, Luke JV. Wireless substitution: early release of estimates from the National Health Interview Survey, July–December 2014. CDC, , Released 06/2015. Accessed 1 Aug 201
    • Blumberg SJ, Luke JV. Wireless substitution: early release of estimates from the National Health Interview Survey, July–December 2014. CDC, National Center for Health Statistics, Released 06/2015. http://www.cdc.gov/nchs/data/nhis/earlyrelease/wireless201506.pdf. Accessed 1 Aug 2016.
    • (2014) National Center for Health Statistics
  • 75
    • 84983250963 scopus 로고    scopus 로고
    • Gonzales AL, Ems L, Suri VR. Cell phone disconnection disrupts access to healthcare and health resources: a technology maintenance perspective. .;146144481455867
    • Gonzales AL, Ems L, Suri VR. Cell phone disconnection disrupts access to healthcare and health resources: a technology maintenance perspective. New Media Soc. 2014;1461444814558670.
    • (2014) New Media Soc
  • 76
    • 84948586375 scopus 로고    scopus 로고
    • The contemporary US digital divide: from initial access to technology maintenance
    • Study finding that US poor have inconsistent access to technology and resulting impac
    • ••Gonzales A. The contemporary US digital divide: from initial access to technology maintenance. Inf Commun Soc. 2016;19:234–48. Study finding that US poor have inconsistent access to technology and resulting impacts.
    • (2016) Inf Commun Soc , vol.19 , pp. 234-248
    • Gonzales, A.1
  • 77
    • 84921495826 scopus 로고    scopus 로고
    • Big data and its exclusions
    • Lerman J. Big data and its exclusions. Stanf Law Rev Online. 2013;3:66.
    • (2013) Stanf Law Rev Online , vol.3 , pp. 66
    • Lerman, J.1
  • 79
    • 84860506437 scopus 로고    scopus 로고
    • What is the 1% rule?
    • Arthur C. What is the 1% rule? The Guardian. 2006. https://www.theguardian.com/technology/2006/jul/20/guardianweeklytechnologysection2. Accessed 1 Aug 2016.
    • (2006) The Guardian
    • Arthur, C.1
  • 80
    • 84920113698 scopus 로고    scopus 로고
    • Describing the distribution of engagement in an Internet support group by post frequency: a comparison of the 90-9-1 principle and Zipf’s Law
    • Carron-Arthur B, Cunningham JA, Griffiths KM. Describing the distribution of engagement in an Internet support group by post frequency: a comparison of the 90-9-1 principle and Zipf’s Law. Internet Interv. 2014;1:165–8.
    • (2014) Internet Interv , vol.1 , pp. 165-168
    • Carron-Arthur, B.1    Cunningham, J.A.2    Griffiths, K.M.3
  • 81
    • 84897652680 scopus 로고    scopus 로고
    • The 1% rule in four digital health social networks: an observational study
    • PID: 24496109, Study confirming the 90-9-1 rule for participation in 4 mental health related online communities (90% observe only, 9% contribute rarely, and 1% create the vast majority of conten
    • •van Mierlo T. The 1% rule in four digital health social networks: an observational study. J Med Internet Res. 2014;16:e33. Study confirming the 90-9-1 rule for participation in 4 mental health related online communities (90% observe only, 9% contribute rarely, and 1% create the vast majority of content).
    • (2014) J Med Internet Res , vol.16
    • van Mierlo, T.1
  • 82
    • 84957014894 scopus 로고    scopus 로고
    • Comparison of drug information on consumer drug review sites versus authoritative health information websites
    • COI: 1:CAS:528:DC%2BC28XhsVGru7c%
    • Chew SW, Khoo CS. Comparison of drug information on consumer drug review sites versus authoritative health information websites. J Assoc Inf Sci Technol. 2016;67:333–49.
    • (2016) J Assoc Inf Sci Technol , vol.67 , pp. 333-349
    • Chew, S.W.1    Khoo, C.S.2
  • 83
    • 80053496725 scopus 로고    scopus 로고
    • Can online consumers contribute to drug knowledge? A mixed-methods comparison of consumer-generated and professionally controlled psychotropic medication information on the internet
    • PID: 218076
    • Hughes S, Cohen D. Can online consumers contribute to drug knowledge? A mixed-methods comparison of consumer-generated and professionally controlled psychotropic medication information on the internet. J Med Internet Res. 2011;13:e53.
    • (2011) J Med Internet Res , vol.13
    • Hughes, S.1    Cohen, D.2
  • 84
    • 84898604274 scopus 로고    scopus 로고
    • Health research 2.0
    • COI: 1:CAS:528:DC%2BC2cXhtVKjur7O, PID: 245179
    • Weigmann K. Health research 2.0. EMBO Rep. 2014;15:223–6.
    • (2014) EMBO Rep , vol.15 , pp. 223-226
    • Weigmann, K.1
  • 85
    • 84992543934 scopus 로고    scopus 로고
    • Schneier B. . 2013. Accessed 1 Aug 201
    • Schneier B. Phishing has gotten very good. 2013. https://www.schneier.com/blog/archives/2013/03/phishing_has_go.html. Accessed 1 Aug 2016.
    • (2013) Phishing has gotten very good
  • 86
    • 84968927988 scopus 로고    scopus 로고
    • Could you fall for a scam? Spam filters are passe. What we need is software that unmasks fraudsters
    • Short article on modern e-mail sca
    • •Jakobsson M, Leddy W. Could you fall for a scam? Spam filters are passe. What we need is software that unmasks fraudsters. IEEE Spectr. 2016;53:40–55. Short article on modern e-mail scams.
    • (2016) IEEE Spectr , vol.53 , pp. 40-55
    • Jakobsson, M.1    Leddy, W.2
  • 88
    • 84992648452 scopus 로고    scopus 로고
    • The social engineering behind phishing, The Next Wa
    • Mayhorn CB, Murphy-Hill E, Zielinska OA, et al. The social engineering behind phishing. The Next Wave. 2015. https://www.nsa.gov/resources/everyone/digital-media-center/publications/the-next-wave/assets/files/TNW-21-1.pdf. Accessed 1 Aug 2016.
    • (2015) et al
    • Mayhorn, C.B.1    Murphy-Hill, E.2    Zielinska, O.A.3
  • 89
    • 79955890012 scopus 로고    scopus 로고
    • Why do people get phished? Testing individual differences in phishing vulnerability within an integrated, information processing model
    • Vishwanath A, Herath T, Chen R, et al. Why do people get phished? Testing individual differences in phishing vulnerability within an integrated, information processing model. Decis Support Syst. 2011;51:576–86.
    • (2011) Decis Support Syst , vol.51 , pp. 576-586
    • Vishwanath, A.1    Herath, T.2    Chen, R.3
  • 90
    • 84859817405 scopus 로고    scopus 로고
    • Training users to counteract phishing
    • PID: 223172
    • Mayhorn CB, Nyeste PG. Training users to counteract phishing. Work. 2012;41(Supplement 1):3549–52.
    • (2012) Work , vol.41 , pp. 3549-3552
    • Mayhorn, C.B.1    Nyeste, P.G.2
  • 91
    • 85142754377 scopus 로고    scopus 로고
    • pilot study of cyber security and privacy related behavior and personality traits. Proceedings of the 22nd International Conference on World Wide Web
    • Halevi T, Lewis J, Memon N. A pilot study of cyber security and privacy related behavior and personality traits. Proceedings of the 22nd International Conference on World Wide Web. ACM. 2013.
    • (2013) ACM
    • Halevi, T.1    Lewis, J.2    Memon, N.A.3
  • 92
    • 84992648439 scopus 로고    scopus 로고
    • Van Wilsem J. ‘Bought it, but never got it’assessing risk factors for online consumer fraud victimization. . 2011;jcr05
    • Van Wilsem J. ‘Bought it, but never got it’assessing risk factors for online consumer fraud victimization. Eur Sociol Rev. 2011;jcr053.
    • (2011) Eur Sociol Rev
  • 93
    • 84893921823 scopus 로고    scopus 로고
    • The online dating romance scam: causes and consequences of victimhood
    • Buchanan T, Whitty MT. The online dating romance scam: causes and consequences of victimhood. Psychol Crime Law. 2014;20:261–83.
    • (2014) Psychol Crime Law , vol.20 , pp. 261-283
    • Buchanan, T.1    Whitty, M.T.2
  • 94
    • 84992534871 scopus 로고    scopus 로고
    • Algarni A, Xu Y, Chan T, et al. Social engineering in social networking sites: how good becomes evil (). . Paper 271. Accessed 1 Aug 201
    • Algarni A, Xu Y, Chan T, et al. Social engineering in social networking sites: how good becomes evil (2014). PACIS (Pacific Asia Conference on Information Systems) 2014 Proceedings. Paper 271. http://aisel.aisnet.org/pacis2014/271. Accessed 1 Aug 2016.
    • (2014) PACIS (Pacific Asia Conference on Information Systems) 2014 Proceedings
  • 95
    • 39749142244 scopus 로고    scopus 로고
    • Wisecrackers: a theory‐grounded investigation of phishing and pretext social engineering threats to information security
    • Workman M. Wisecrackers: a theory‐grounded investigation of phishing and pretext social engineering threats to information security. J Am Soc Inf Sci Technol. 2008;59:662–74.
    • (2008) J Am Soc Inf Sci Technol , vol.59 , pp. 662-674
    • Workman, M.1
  • 96
    • 84992667182 scopus 로고    scopus 로고
    • University of Exeter School of Psychology. The psychology of scams: provoking and committing errors of judgement. . . Accessed 1 Aug 201
    • University of Exeter School of Psychology. The psychology of scams: provoking and committing errors of judgement. Prepared for the Office of Fair Trading. 2009. https://ore.exeter.ac.uk/repository/bitstream/handle/10871/20958/OfficeOfFairTrading%202009.pdf?sequence=1. Accessed 1 Aug 2016.
    • (2009) Prepared for the Office of Fair Trading
  • 98
    • 77954007030 scopus 로고    scopus 로고
    • Sheng S, Holbrook M, Kumaraguru P, et al. Who falls for phish?: a demographic analysis of phishing susceptibility and effectiveness of interventions. (pp. 373–382). AC
    • Sheng S, Holbrook M, Kumaraguru P, et al. Who falls for phish?: a demographic analysis of phishing susceptibility and effectiveness of interventions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2010 Apr 10 (pp. 373–382). ACM.
    • In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2010 Apr 10
  • 99
    • 84992534884 scopus 로고    scopus 로고
    • Mobile users 3 times more vulnerable to phishing attacks
    • Boodaei M. Mobile users 3 times more vulnerable to phishing attacks. January 4, 2011. https://securityintelligence.com/mobile-users-3-times-more-vulnerable-to-phishing-attacks/ Accessed 1 Aug 2016.
    • (2011) January , pp. 4
    • Boodaei, M.1
  • 100
    • 85018974022 scopus 로고    scopus 로고
    • Gangadharan SP. The downside of digital inclusion: expectations and experiences of privacy and surveillance among marginal Internet users. . 2015:146144481561405
    • Gangadharan SP. The downside of digital inclusion: expectations and experiences of privacy and surveillance among marginal Internet users. New Media Soc. 2015:1461444815614053.
    • New Media Soc
  • 101
    • 84885397448 scopus 로고    scopus 로고
    • Financial victimization of adults with severe mental illness
    • PID: 240268
    • Claycomb M, Black AC, Wilber C, et al. Financial victimization of adults with severe mental illness. Psychiatr Serv. 2013;64:918–20.
    • (2013) Psychiatr Serv , vol.64 , pp. 918-920
    • Claycomb, M.1    Black, A.C.2    Wilber, C.3
  • 102
    • 84885337895 scopus 로고    scopus 로고
    • Correlates of susceptibility to scams in older adults without dementia
    • PID: 244992
    • James BD, Boyle PA, Bennett DA. Correlates of susceptibility to scams in older adults without dementia. J Elder Abuse Negl. 2014;26:107–22.
    • (2014) J Elder Abuse Negl , vol.26 , pp. 107-122
    • James, B.D.1    Boyle, P.A.2    Bennett, D.A.3
  • 103
    • 84950121802 scopus 로고    scopus 로고
    • Psychological and functional vulnerability predicts fraud cases in older adults: results of a longitudinal study
    • PID: 270655
    • Lichtenberg PA, Sugarman MA, Paulson D, et al. Psychological and functional vulnerability predicts fraud cases in older adults: results of a longitudinal study. Clin Gerontol. 2016;39:48–63.
    • (2016) Clin Gerontol , vol.39 , pp. 48-63
    • Lichtenberg, P.A.1    Sugarman, M.A.2    Paulson, D.3
  • 104
    • 84992633600 scopus 로고    scopus 로고
    • Still no free lunch: recent regulatory initiatives to protect seniors from fraud in the sale of investment products
    • Knauer IB, Zarychta MC. Still no free lunch: recent regulatory initiatives to protect seniors from fraud in the sale of investment products. Secur Regul Law J. 2013;41:397–410.
    • (2013) Secur Regul Law J , vol.41 , pp. 397-410
    • Knauer, I.B.1    Zarychta, M.C.2
  • 106
    • 84992589858 scopus 로고    scopus 로고
    • Accessed 1 Aug 201
    • FBI. Romance scams. 2015. https://www.fbi.gov/audio-repository/news-podcasts-thisweek-romance-scams.mp3/view. Accessed 1 Aug 2016.
    • (2015) FBI. Romance scams
  • 108
    • 84992589859 scopus 로고    scopus 로고
    • Why the workplace of 2016 could echo Orwell’s 1984
    • Dredge S. Why the workplace of 2016 could echo Orwell’s 1984. The Guardian. 2015. https://www.theguardian.com/technology/2015/aug/23/data-and-tracking-devices-in-the-workplace-amazon. Accessed 1 Aug 2016.
    • (2015) The Guardian
    • Dredge, S.1
  • 109
    • 84992658089 scopus 로고    scopus 로고
    • Employers still bullish on wellness programs
    • Deloitte. Employers still bullish on wellness programs. Findings from the 2015 surveys of employers and health care consumers. 2015. http://www2.deloitte.com/content/dam/Deloitte/us/Documents/life-sciences-health-care/us-lshc-wellness-programs.pdf. Accessed 1 Aug 2016.
    • (2015) Findings from the 2015 surveys of employers and health care consumers
  • 110
    • 78650918350 scopus 로고    scopus 로고
    • The data-driven life
    • Wolf G. The data-driven life. The New York Times. 2010. http://www.nytimes.com/2010/05/02/magazine/02self-measurement-t.html?_r=0. Accessed 1 Aug 2016.
    • (2010) The New York Times
    • Wolf, G.1
  • 111
    • 84992628698 scopus 로고    scopus 로고
    • That’s unfair! or is it? Big data, discrimination and the FTC’s unfairness authority
    • Hirsch DD. That’s unfair! or is it? Big data, discrimination and the FTC’s unfairness authority. Ky LJ. 2014;103:345.
    • (2014) Ky LJ , vol.103 , pp. 345
    • Hirsch, D.D.1
  • 113
    • 84952683777 scopus 로고    scopus 로고
    • The stigma of mental illness in the labor market
    • PID: 268571
    • Hipes C, Lucas J, Phelan JC, et al. The stigma of mental illness in the labor market. Soc Sci Res. 2016;56:16–25.
    • (2016) Soc Sci Res , vol.56 , pp. 16-25
    • Hipes, C.1    Lucas, J.2    Phelan, J.C.3
  • 114
    • 84881557547 scopus 로고    scopus 로고
    • Public stigma of mental illness in the United States: a systematic literature review
    • PID: 228330
    • Parcesepe AM, Cabassa LJ. Public stigma of mental illness in the United States: a systematic literature review. Adm Policy Ment Health. 2013;40:384–99.
    • (2013) Adm Policy Ment Health , vol.40 , pp. 384-399
    • Parcesepe, A.M.1    Cabassa, L.J.2
  • 115
    • 84937773817 scopus 로고    scopus 로고
    • Data, privacy, and the greater good
    • COI: 1:CAS:528:DC%2BC2MXhtFKkt7bL, PID: 26185242, Essay on challenges of balancing privacy and medical resear
    • •Horvitz E, Mulligan D. Data, privacy, and the greater good. Science. 2015;349:253–5. Essay on challenges of balancing privacy and medical research.
    • (2015) Science , vol.349 , pp. 253-255
    • Horvitz, E.1    Mulligan, D.2
  • 116
    • 84992628717 scopus 로고    scopus 로고
    • Moneyball at work: they’ve discovered what really makes a great employee
    • Nisen M. Moneyball at work: they’ve discovered what really makes a great employee. Business Insider. 2013. http://www.businessinsider.com/big-data-in-the-workplace-2013-5. Accessed 1 Aug 2016.
    • (2013) Business Insider
    • Nisen, M.1
  • 118
    • 84960442188 scopus 로고    scopus 로고
    • Today’s personality tests raise the bar for job seekers
    • Weber L. Today’s personality tests raise the bar for job seekers. Wall Street Journal. 2015. http://www.wsj.com/articles/a-personality-test-could-stand-in-the-way-of-your-next-job-1429065001. Accessed 1 Aug 2016
    • (2015) Wall Street Journal
    • Weber, L.1
  • 119
    • 84992662839 scopus 로고    scopus 로고
    • Goldberg R. lack of trust in Internet privacy and security may deter economic and other online activities. . Accessed 1 Aug 201
    • Goldberg R. lack of trust in Internet privacy and security may deter economic and other online activities. NTIA (National Telecommunications & Information Administration). https://www.ntia.doc.gov/blog/2016/lack-trust-internet-privacy-and-security-may-deter-economic-and-other-online-activities. Accessed 1 Aug 2016.
    • NTIA (National Telecommunications & Information Administration)
  • 120
    • 84903015184 scopus 로고    scopus 로고
    • The future of reputation: gossip, rumor, and privacy on the Internet
    • Solove DJ. The future of reputation: gossip, rumor, and privacy on the Internet. Yale University Press; 2007. http://ssrn.com/abstract=1019177. Accessed 1 Aug 2016.
    • (2007) Yale University Press
    • Solove, D.J.1
  • 122
    • 84977147370 scopus 로고    scopus 로고
    • Internet use by patients with bipolar disorder: results from an international multisite survey
    • PID: 273913
    • Bauer R, Conell J, Glenn T, et al. Internet use by patients with bipolar disorder: results from an international multisite survey. Psychiatry Res. 2016;242:388–94.
    • (2016) Psychiatry Res , vol.242 , pp. 388-394
    • Bauer, R.1    Conell, J.2    Glenn, T.3
  • 123
    • 84861378140 scopus 로고    scopus 로고
    • Millennials will make online sharing in networks a lifelong habit
    • Anderson JQ, Rainie L. Millennials will make online sharing in networks a lifelong habit. Pew Research. 2010. http://www.pewinternet.org/files/old-media/Files/Reports/2010/PIP_Future_Of_Millennials.pdf. Accessed 1 Aug 2016.
    • (2010) Pew Research
    • Anderson, J.Q.1    Rainie, L.2
  • 124
    • 84921021500 scopus 로고    scopus 로고
    • How are important life events disclosed on Facebook? Relationships with likelihood of sharing and privacy
    • PID: 255847
    • Bevan JL, Cummings MB, Kubiniec A, et al. How are important life events disclosed on Facebook? Relationships with likelihood of sharing and privacy. Cyberpsychol Behav Soc Netw. 2015;18:8–12.
    • (2015) Cyberpsychol Behav Soc Netw , vol.18 , pp. 8-12
    • Bevan, J.L.1    Cummings, M.B.2    Kubiniec, A.3
  • 125
    • 84921898213 scopus 로고    scopus 로고
    • Privacy and human behavior in the age of information
    • COI: 1:CAS:528:DC%2BC2MXhsV2ns7k%3D, PID: 25635091, Review of how privacy influences human behavi
    • •Acquisti A, Brandimarte L, Loewenstein G. Privacy and human behavior in the age of information. Science. 2015;347:509–14. Review of how privacy influences human behavior.
    • (2015) Science , vol.347 , pp. 509-514
    • Acquisti, A.1    Brandimarte, L.2    Loewenstein, G.3
  • 126
    • 84855384842 scopus 로고    scopus 로고
    • Privacy no longer a social norm, says Facebook founder
    • Johnson B. Privacy no longer a social norm, says Facebook founder. The Guardian. 2010. https://www.theguardian.com/technology/2010/jan/11/facebook-privacy. Accessed 1 Aug 2016.
    • (2010) The Guardian
    • Johnson, B.1
  • 127
    • 84920281815 scopus 로고    scopus 로고
    • Google’s Schmidt roasted for privacy comments
    • Newman J. Google’s Schmidt roasted for privacy comments. PC World. 2009. http://www.pcworld.com/article/184446/googles_schmidt_roasted_for_privacy_comments.html. Accessed 1 Aug 2016.
    • (2009) PC World
    • Newman, J.1
  • 128
    • 84962405911 scopus 로고    scopus 로고
    • IOM. Best care at lower cost. 2013. Accessed 1 Aug 201
    • IOM. Best care at lower cost. The path to continuously learning health care in America. 2013. https://www.nationalacademies.org/hmd/~/media/Files/Report%20Files/2012/Best-Care/Best%20Care%20at%20Lower%20Cost_Recs.pdf. Accessed 1 Aug 2016.
    • (2013) The path to continuously learning health care in America
  • 129
    • 84880065191 scopus 로고    scopus 로고
    • The ‘big data’ revolution in healthcare: accelerating value and innovation
    • Groves P, Kayyali B, Knott D, et al. The ‘big data’ revolution in healthcare: accelerating value and innovation. McKinsey & Company. 2013. http://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/the-big-data-revolution-in-us-health-care. Accessed 1 Aug 2016.
    • (2013) McKinsey & Company
    • Groves, P.1    Kayyali, B.2    Knott, D.3
  • 130
    • 85020173286 scopus 로고    scopus 로고
    • Online privacy and the invisible market for our data (January 18, 2016)
    • Lipman R. Online privacy and the invisible market for our data (January 18, 2016). Penn State Law Rev. 2016.
    • (2016) Penn State Law Rev
    • Lipman, R.1
  • 132
    • 84992534926 scopus 로고    scopus 로고
    • ••Solove DJ. Why privacy matters even if you have ‘nothing to hide’. Chronicle of Higher Education. 2011;15
    • ••Solove DJ. Why privacy matters even if you have ‘nothing to hide’. Chronicle of Higher Education. 2011;15. Essay on importance of privacy from an expert in privacy law
    • (2011) Essay on importance of privacy from an expert in privacy law
  • 133
    • 84992569969 scopus 로고    scopus 로고
    • PCLOB (US Privacy and Civil Liberties Oversight Board). November 12: . 2014. Accessed 1 Aug 201
    • PCLOB (US Privacy and Civil Liberties Oversight Board). November 12: public meeting on “defining privacy”—transcript. 2014. https://www.pclob.gov/events/2014/november12.html. Accessed 1 Aug 2016.
    • (2014) public meeting on “defining privacy”—transcript
  • 134
    • 84954535425 scopus 로고    scopus 로고
    • Chief Justice Roberts admits he doesn’t read the computer fine print
    • Weiss DC. Chief Justice Roberts admits he doesn’t read the computer fine print. ABA Journal. 2010. http://www.abajournal.com/news/article/chief_justice_roberts_admits_he_doesnt_read_the_computer_fine_print/. Accessed 1 Aug 2016.
    • (2010) ABA Journal
    • Weiss, D.C.1
  • 135
    • 84861971498 scopus 로고    scopus 로고
    • Private ordering: a contractual approach to online interpersonal privacy
    • Abril PS. Private ordering: a contractual approach to online interpersonal privacy. Wake For L Rev. 2010;45:689.
    • (2010) Wake For L Rev , vol.45 , pp. 689
    • Abril, P.S.1
  • 136
    • 84873889715 scopus 로고    scopus 로고
    • Branding privacy
    • Ohm P. Branding privacy. Minn L Rev. 2013;97:907–89.
    • (2013) Minn L Rev , vol.97 , pp. 907-989
    • Ohm, P.1
  • 137
    • 84893391169 scopus 로고    scopus 로고
    • Keeping score on how you take your medicine
    • Parker-Pope T. Keeping score on how you take your medicine. The New York Times. 2011 http://well.blogs.nytimes.com/2011/06/20/keeping-score-on-how-you-take-your-medicine/?_r=0. Accessed 1 Aug 2016.
    • (2011) The New York Times
    • Parker-Pope, T.1
  • 138
    • 84992570190 scopus 로고    scopus 로고
    • •Walker J. Data mining to recruit sick people. Wall Street Journal. 2013. Accessed 1 Aug 2016
    • •Walker J. Data mining to recruit sick people. Wall Street Journal. 2013. http://www.wsj.com/articles/SB10001424052702303722104579240140554518458. Accessed 1 Aug 2016. Article describing recruiting for clinical trials without using medical records.
    • (2013) Article describing recruiting for clinical trials without using medical records
  • 139
    • 84992570174 scopus 로고    scopus 로고
    • New technologies close the recruitment gap
    • Gebhart F. New technologies close the recruitment gap. Applied Clinical Trials. 2014. http://www.appliedclinicaltrialsonline.com/new-technologies-close-recruitment-gap. Accessed 1 Aug 2016.
    • (2014) Applied Clinical Trials
    • Gebhart, F.1
  • 140
    • 84876061994 scopus 로고    scopus 로고
    • Private traits and attributes are predictable from digital records of human behavior
    • COI: 1:CAS:528:DC%2BC3sXnsFKksLw%3D, PID: 23479631, Highly sensitive personal attributes detected using Facebook lik
    • ••Kosinski M, Stillwell D, Graepel T. Private traits and attributes are predictable from digital records of human behavior. Proc Natl Acad Sci U S A. 2013;110:5802–5. Highly sensitive personal attributes detected using Facebook likes.
    • (2013) Proc Natl Acad Sci U S A , vol.110 , pp. 5802-5805
    • Kosinski, M.1    Stillwell, D.2    Graepel, T.3
  • 141
    • 84921802546 scopus 로고    scopus 로고
    • Computer-based personality judgments are more accurate than those made by humans
    • COI: 1:CAS:528:DC%2BC2MXmtFGhsA%3D%3D, PID: 255835
    • Youyou W, Kosinski M, Stillwell D. Computer-based personality judgments are more accurate than those made by humans. Proc Natl Acad Sci U S A. 2015;112:1036–40.
    • (2015) Proc Natl Acad Sci U S A , vol.112 , pp. 1036-1040
    • Youyou, W.1    Kosinski, M.2    Stillwell, D.3
  • 142
    • 84900027892 scopus 로고    scopus 로고
    • Predicting depression via social media
    • De Choudhury M, Gamon M, Counts S, Horvitz E. Predicting depression via social media. InICWSM 2013. https://www.microsoft.com/en-us/research/publication/predicting-depression-via-social-media/. Accessed 1 Aug 2016.
    • (2013) InICWSM
    • De Choudhury, M.1    Gamon, M.2    Counts, S.3    Horvitz, E.4
  • 145
    • 84884968070 scopus 로고    scopus 로고
    • Can an algorithm be wrong? Twitter trends, the specter of censorship, and our faith in the algorithms around us
    • Gillespie T. Can an algorithm be wrong? Twitter trends, the specter of censorship, and our faith in the algorithms around us. Culture Digitally. 2011. http://culturedigitally.org/2011/10/can-an-algorithm-be-wrong/. Accessed 1 Aug 2016.
    • (2011) Culture Digitally
    • Gillespie, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.