Is Anonymity Needed for Democratic Information Society?
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Is Anonymity Needed for Democratic Information Society?
Annotation
PII
S207054760013784-9-
Publication type
Article
Status
Published
Authors
Evgeny Rogovsky 
Occupation: Chief of the Center for Military-Industrial Policy
Affiliation: Institute for the U.S. and Canadian Studies of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Edition
Abstract

In modern market economy ‘Internet Freedom’ principle turns to something that allow businesses to use personal data and a lot of online users omissions. For hidden information revelation very special method of statistical psychology are applied, what became a real competitive advantage. Personal defense became a problem of information security for a whole society.

Keywords
social networks, on-line users behavior analysis, personal data revelation and defense
Received
07.11.2012
Date of publication
31.01.2013
Number of purchasers
1
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866
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0.0 (0 votes)
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S207054760013784-9-1 Дата внесения правок в статью - 07.02.2021
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References

1. Solove, D. J., Rotenberg, M. and Schwartz, P. M. Information Privacy Law. 2nd edition, Aspen, New York, 2006.

2. Rogovskij E. SShA: informatsionnoe obschestvo (ehkonomika i politika). M.: Mezhdunarodnye otnosheniya, 2008. S.184.

3. Bloomberg on drones over New York: 'Can't keep tides from coming in'. – http://rt.com/usa/bloomberg-on-drones-over-nyc-699/

4. Timberg, C. Web browsers consider limiting how much they track users. – http://www.washingtonpost.com/business/technology/web-browsers-consider-limiting-how-much-they-track-users/2013/03/14/94818d22-8bed-11e2-9f54-f3fdd70acad2_story.html?wpisrc=nl_headlines.

5. Fowler, G. A. Facebook Sells More Access to Members // Wall Street Journal. October 1, 2012. – http://online.wsj.com/article/SB10000872396390443862604578029450918199258.html

6. Ermolova N. Prodvizhenie biznesa v sotsial'nykh setyakh Facebook, Twitter, Google+ . M.: Al'pina Pablisher, 2013. S. 10.

7. Darrow, B. The CIA and Amazon are in cahoots over secret cloud. – http://www.washingtonpost.com/business/technology/report-the-cia-and-amazon-are-in-cahoots-over-secret-cloud/2013/03/20/6f3bf5b2-90e2-11e2-9173-7f87cda73b49_story.html?wpisrc=nl_headlines.

8. Lazer, D. et al. Computational social science // Science. February 6, 2009, vol. 323, no. 5915, pp. 721–723.

9. Koren, Y., Bell, R., Volinsky, C. Matrix factorization techniques for recommender systems // Computer. August 2009, pp. 42–49. – http://www2.research.att.com/~volinsky/papers/ieeecomputer.pdf.

10. Chen, Y., Pavlov, D., Canny, J. F. Large-scale behavioral targeting // Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'09), 2009, pp. 209–218.

11. http://ura-inform.com/ru/society/2012/07/31/manjaki-stali-izbegat-sotsialnykh-setej.

12. Duhigg, C. The Power of Habit: Why We Do What We Do in Life and Business. 1st ed., Random House, New York, 2012.

13. Kosinski, M., Stillwell, D., and Graepel, Th. Private traits and attributes are predictable from digital records of human behavior. Free School Lane, The Psychometrics Centre, University of Cambridge, Cambridge CB2 3RQ United Kingdom; and Microsoft Research, Cambridge CB1 2FB, United Kingdom. Ed. by Wachter, K. University of California, Berkeley, CA, and approved February 12, 2013 (received for review October 29, 2012). – http://www.pnas.org/content/early/2013/03/06/1218772110.full.pdf+html?with-ds=yes.

14. Golub, G. H., Kahan, W. Calculating the singular values and pseudo-inverse of a matrix / SIAM (Society for Industrial and Applied Mathematics) // Journal on Mathematical Analysis. 1965, Vol. 2, No. 2, pp. 205–224.

15. Costa, P. T., McCrae, R. R. Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) professional manual. Odessa, FL: Psychological Assessment Resources, 1992. (Dalee: Costa, P. T., McCrae, R. R. Revised NEO Personality Inventory…)

16. Goldberg, L. R., et al. The international personality item pool and the future of public-domain personality measures / Presidential Symposium at the sixth annual meeting of the Association for Research in Personality, New Orleans, January 20, 2005 // Journal of Research in Personality. 2006 (40), pp. 84–96.

17. Raven, J. C. The Raven’s progressive matrices: Change and stability over culture and time // Cognitive Psychology. 2000, Vol. 41, pp. 1–48.

18. Diener, E., Emmons, R. A., Larsen, R. J., Griffin, S. The satisfaction with life scale // Journal of Personality Assessment. 1985, Vol. 49, Issue 1, pp. 71–75.

19. Interesno otmetit', chto tol'ko ochen' nemnogie uchastniki (menee 5%) otkryto ob'yavlyali o svoej seksual'noj orientatsii. V ehtom voprose dlya predskazaniya bolee znachimymi okazalis' pometki like, otdannye Britney Spears ili programme Desperate Housewives.

20. Fast, L. A., Funder, D. C. Personality as manifest in word use: Correlations with selfreport, acquaintance report, and behavior // Journal of Personality and Social Psychology. 2008, Vol. 94, Issue 2, pp. 334–346.

21. Costa, P. T., McCrae, R. R. Revised NEO Personality Inventory…

22. Gosling, S. D., Ko, S. J., Mannarelli, T., Morris, M. E. A room with a cue: Personality judgments based on offices and bedrooms // Journal of Personality and Social Psychology. 2002, Vol. 82, Issue 3, pp. 379–398.

23. Prakticheski srazu posle prezidentskikh vyborov 2012 g. v amerikanskoj presse poyavilis' podrobnye dannye, kharakterizuyuschie progolosovavshikh za B. Obamu i M. Romni s razlichnykh storon.

24. Hu, J., Zeng, H.-J., Li, H., Niu, C., Chen, Z. Demographic prediction based on user’s browsing behavior // WWW’07: Proceedings of the 16th international conference on World Wide Web, New York, 2007, pp. 151–160. Murray, D., Durrell, K. Inferring demographic attributes of anonymous Internet users // Revised Papers from the International Workshop on Web Usage Analysis and User Profiling. Editors Masand, B. M., Spiliopoulou, M. Springer, London, 1999, pp. 7–20. De Bock, K. W., Van den Poel, D. Predicting website audience demographics for Web advertising targeting using multi-website clickstream data // Fundamenta Informaticae 2010, Vol. 98, Issue 1, pp. 49–70. Goel, S., Hofman, J. M., Sirer, M. I. Who does what on the Web: Studying Web browsing behavior at scale // International Conference on Weblogs and Social Media, 2012, pp. 130–137. – http://jakehofman.com/inprint/whowhatweb.pdf. Kosinski, M., Kohli, P., Stillwell, D. J., Bachrach, Y., Graepel, T. Personality and Website Choice / ACM Web Science Conference (Evanston, Illinois) // Proceedings of the ACM Web Science Conference, 2012, pp 251–254.

25. Marcus, B., Machilek, F., Schütz, A. Personality in cyberspace: Personal Web sites as media for personality expressions and impressions // Journal of Personality and Social Psychology. 2006, Vol. 90, Issue 6, pp. 1014–1031.

26. Rentfrow, P. J., Gosling, S. D. The do re mi’s of everyday life: The structure and personality correlates of music preferences // Journal of Personality and Social Psychology. 2003, Vol. 84, Issue 6, pp. 1236–1256.

27. Quercia, D., Lambiotte, R., Kosinski, M., Stillwell, D., Crowcroft, J. The Personality of popular Facebook users / ACM Conference on Computer Supported Cooperative Work // Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, pp. 955–964. Bachrach, Y., Kohli, P., Graepel, T., Stillwell, D. J., Kosinski, M. Personality and patterns of Facebook usage / ACM Web Science Conference (Evanston, Illinois) // Proceedings of the ACM Web Science Conference. 2012, pp. 36–44. Quercia, D., Kosinski, M., Stillwell, D. J., Crowcroft, J. Our Twitter profiles, Our Selves: Predicting Personality with Twitter / IEEE Third International Conference on Social Computing (SocialCom) // Proceedings of the 2011 IEEE International Conference on Privacy, Security, Risk, and Trust, and IEEE International Conference on Social Computing, pp. 180–185. Golbeck, J., Robles, C., Edmondson, M., Turner, K. Predicting personality from Twitter / IEEE International Conference on Social Computing, 2011, pp. 149–156.

28. Jernigan, C., Mistree, B. F. Gaydar: Facebook friendships expose sexual orientation // First Monday. October 2009, Vol. 14, No. 10.

29. Kuneva, M. (European Consumer Commissioner). Keynote Speech. Roundtable on Online Data Collection, Targeting and Profiling, Brussels, 31 March 2009. – http://europa.eu/rapid/pressReleasesAction.do?reference=SPEECH/09/156. (Dalee: Kuneva, M. Keynote Speech.)

30. Ibidem.

31. Personal Data: The Emergence of a New Asset Class // WEF 2011 report.

32. Kuneva, M. Keynote Speech.

33. Timberg, C. U.S. firms, officials resisting Europe’s push for stronger digital privacy rules. – http://www.washingtonpost.com/business/economy/us-firms-officials-resisting-europes-push-for-stronger-digital-privacy-rules/2013/01/24/1ae712e6-61ab-11e2-b05a-605528f6b712_story.html?wpisrc=nl_headlines.

34. Remarks by U.S. Ambassador to the EU, William E. Kennard, at Forum Europe’s 3rd Annual European Data Protection and Privacy Conference. – http://useu.usmission.gov/kennard_120412.html.

35. Kang, C. Voluntary guidelines for Web privacy backed by Obama administration. – http://articles.washingtonpost.com/2012-02-23/business/35445799_1_web-firms-consumer-privacy-bill-consumer-groups.

36. De Hert, P., Bellanova, R. Data Protection from a Transatlantic Perspective: The EU and US Move Towards an International Data Protection Agreement? / Brussels: European Parliament’s Committee on Civil Liberties, Justice and Home Affairs, 2008. – http://www.europarl.europa.eu/RegData/etudes/etudes/libe/2008/408320/IPOL-LIBE_ET (2008)408320(PAR01)_EN.pdf Steinhardt, B. The Automated Targeting system (ATS) – A Violation of American Law, The EU-US PNR Agreement and Basic Human Rights (March 21, 2007). – http://www.criticalthinking.org/resources/news/2007-statewatch.cfm.

37. Nass, C., Lee, K. M. Does computer-generated speech manifest personality? An experimental test of similarity-attraction. 01/2000 // Proceedings of the CHI 2000 Conference on Human factors in computing systems, The Hague, The Netherlands, April 1–6, 2000. – http://www.researchgate.net/publication/221516963_Does_computer-generated_speech_manifest_personality_an_experimental_test_of_similarity-attraction.

38. İnce, H. O., Yarali, A., Özsel, D. Customary killings in Turkey and Turkish modernization // Middle Eastern Studies, 2009, Vol. 45, Issue 4, pp. 537–551.

39. Tsukayama, H.Facebook study shows ‘likes’ reveal a lot. – http://www.washingtonpost.com/business/technology/facebook-study-shows-likes-reveal-a-lot/2013/03/11/bb6d37f6-8a85-11e2-8d72-dc76641cb8d4_story.html?wpisrc=nl_headlines

40. Butler, D. Data sharing threatens privacy // Nature. 2007, Vol. 449 (7163), pp. 644–645. Narayanan, A., Shmatikov, V. Robust de-anonymization of large sparse datasets // IEEE Symposium on Security and Privacy, 2008, pp. 111–125.

41. Timberg, C., ‘Do Not Track’ Internet privacy initiative struggles to keep momentum. – http://articles.washingtonpost.com/2012-11-28/business/35507589_1_privacy-advocates-privacy-concerns-peter-swire

42. Po dannym populyarnogo analiticheskogo sajta NetMarketShare.

43. Po mneniyu spetsialistov, novyj instrument dlya Firefox budet povtoryat' logiku razrabotannogo Apple dlya mobil'nykh ustrojstv brauzera Safari, kotoryj stal naibolee populyarnym v svete kommercheskogo uspekha smartfonov iPhone i iPad.

44. Razrabatyvaet otraslevye standarty, provodit issledovaniya i predostavlyaet pravovuyu podderzhku biznesu onlajnovoj reklamy.

45. Web 'tracking' debate heats up. – http://www.upi.com/Science_News/Technology/2013/03/15/Web-tracking-debate-heats-up/UPI-75221363383253/.

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