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Privacy in Social Information Access

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Book cover Social Information Access

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10100))

Abstract

Social information access (SIA) systems crucially depend on user-provided information, and must therefore provide extensive privacy provisions to encourage users to share their personal data. Even though the information SIA systems use is usually considered public, they often use this information in novel ways, and the outcomes of this process may at times lead to unintended consequences for their users’ privacy. Indeed, even if a SIA system is deemed generally beneficial, privacy concerns can play a limiting role in its adoption. This chapter analyzes the privacy implications of several types of SIA systems (aggregators, public content systems, and social network-based systems) from various angles, and discusses a wide range of solutions (both technical and decision-support solutions) to potential privacy threats. Acknowledging that SIA systems are not just a threat to users’ privacy, the chapter concludes with a discussion of the use of social information access as a solution to privacy threats, i.e. by using it to provide social justifications, or by means of adaptive privacy decision support.

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Notes

  1. 1.

    See Chap. 1 of this book for a more detailed definition [37].

  2. 2.

    “Knowledge of one’s actions” can also be considered information, and this is included in the definition as well.

  3. 3.

    This is a trade-off; having users opt in to a feature might be an impediment to the adoption of the feature (cf. [282]).

  4. 4.

    Users also seem to prefer to share their personal information selectively with aggregators and public content systems [208], but mechanisms to automate selective sharing in these domains have not gained much traction [20].

References

  1. Ackerman, M.S., Cranor, L.F., Reagle, J.: Privacy in e-commerce: examining user scenarios and privacy preferences. In: Proceedings of the 1st ACM Conference on Electronic Commerce, EC 1999, pp. 1–8. ACM, Denver (1999). https://doi.org/10.1145/336992.336995

  2. Acquisti, A.: Nudging privacy: the behavioral economics of personal information. IEEE Secur. Priv. 7, 82–85 (2009). https://doi.org/10.1109/MSP.2009.163

    Article  Google Scholar 

  3. Acquisti, A., Gross, R.: Predicting social security numbers from public data. Proc. Natl. Acad. Sci. 106(27), 10,975–10,980 (2009). https://doi.org/10.1073/pnas.0904891106

    Article  Google Scholar 

  4. Acquisti, A., Grossklags, J.: Privacy and rationality in individual decision making. IEEE Secur. Priv. 3(1), 26–33 (2005). https://doi.org/10.1109/MSP.2005.22

    Article  Google Scholar 

  5. Acquisti, A., Grossklags, J.: What can behavioral economics teach us about privacy? In: Acquisti, A., De Capitani di Vimercati, S., Gritzalis, S., Lambrinoudakis, C. (eds.) Digital Privacy: Theory, Technologies, and Practices, pp. 363–377. Auerbach Publications, New York/London (2008). https://doi.org/10.1201/9781420052183.ch18

  6. Acquisti, A., John, L.K., Loewenstein, G.: The impact of relative standards on the propensity to disclose. J. Mark. Res. 49(2), 160–174 (2012). https://doi.org/10.1509/jmr.09.0215

    Article  Google Scholar 

  7. Adjerid, I., Acquisti, A., Brandimarte, L., Loewenstein, G.: Sleights of privacy: framing, disclosures, and the limits of transparency. In: Proceedings of the Ninth Symposium on Usable Privacy and Security, SOUPS 2013, pp. 9:1–9:11. ACM, Newcastle (2013). https://doi.org/10.1145/2501604.2501613

  8. Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 217–253. Springer, Boston (2011). https://doi.org/10.1007/978-0-387-85820-3_7

    Chapter  MATH  Google Scholar 

  9. Aizenbud-Reshef, N., Barger, A., Dubinsky, Y., Guy, I., Kremer-Davidson, S.: Privacy concerns in enterprise social travel: attitudes and actions. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011. LNCS, vol. 6948, pp. 242–249. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23765-2_17

    Chapter  Google Scholar 

  10. Alluri, A.V.: Empirical study on key attributes of yelp dataset which account for susceptibility of a user to social influence. M.S. thesis, University of Cincinnati, Cincinnati, OH (2015)

    Google Scholar 

  11. Altman, I.: The Environment and Social Behavior: Privacy, Personal Space, Territory, and Crowding. Brooks/Cole Publishing Company, Monterey (1975)

    Google Scholar 

  12. Anderson, C.A., Lepper, M.R., Ross, L.: Perseverance of social theories: the role of explanation in the persistence of discredited information. J. Pers. Soc. Psychol. 39(6), 1037–1049 (1980). https://doi.org/10.1037/h0077720

    Article  Google Scholar 

  13. Angst, C.M., Agarwal, R.: Adoption of electronic health records in the presence of privacy concerns: the elaboration likelihood model and individual persuasion. MIS Q. 33(2), 339–370 (2009)

    Article  Google Scholar 

  14. Aoki, P., Woodruff, A.: Making space for stories. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 181–190 (2005). https://doi.org/10.1145/1054972.1054998

  15. Arlein, R.M., Jai, B., Jakobsson, M., Monrose, F., Reiter, M.K.: Privacy-preserving global customization. In: 2nd ACM Conference on Electronic Commerce, EC 2000, pp. 176–184. ACM, Minneapolis (2000). https://doi.org/10.1145/352871.352891

  16. Awad, N.F., Krishnan, M.S.: The personalization privacy paradox: an empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Q. 30(1), 13–28 (2006)

    Article  Google Scholar 

  17. Balebako, R., Leon, P.G., Mugan, J., Acquisti, A., Cranor, L.F., Sadeh, N.: Nudging users towards privacy on mobile devices. In: CHI 2011 Workshop on Persuasion, Influence, Nudge and Coercion Through Mobile Devices, PINC 2011, Vancouver, Canada, pp. 23–26 (2011)

    Google Scholar 

  18. Baron, J., Ritov, I.: Reference points and omission bias. Organ. Behav. Hum. Decis. Process. 59(3), 475–498 (1994). https://doi.org/10.1006/obhd.1994.1070

    Article  Google Scholar 

  19. Bean, D.: 11 Brutal Reminders That You Can and Will Get Fired for What You Post on Facebook (2014). https://www.yahoo.com/tech/11-brutal-reminders-that-you-can-and-will-get-fired-for-84931050659.html

  20. Beatty, P., Reay, I., Dick, S., Miller, J.: P3P adoption on e-commerce web sites: a survey and analysis. IEEE Internet Comput. 11(2), 65–71 (2007). https://doi.org/10.1109/MIC.2007.45

    Article  Google Scholar 

  21. Beckwith, R., Mainwaring, S.: Privacy: personal information, threats, and technologies. In: Proceedings of the Proceedings 2005 IEEE International Symposium on Technology and Society, ISTAS 2005, pp. 9–16. IEEE, Los Angeles (2005). https://doi.org/10.1109/ISTAS.2005.1452707

  22. Benisch, M., Kelley, P.G., Sadeh, N., Cranor, L.F.: Capturing location-privacy preferences: quantifying accuracy and user-burden tradeoffs. Pers. Ubiquit. Comput. 15(7), 679–694 (2011). https://doi.org/10.1007/s00779-010-0346-0

    Article  Google Scholar 

  23. Berendt, B., Günther, O., Spiekermann, S.: Privacy in e-commerce: stated preferences vs. actual behavior. Commun. ACM 48(4), 101–106 (2005). https://doi.org/10.1145/1053291.1053295

    Article  Google Scholar 

  24. Bergmann, M.: Testing privacy awareness. In: Matyáš, V., Fischer-Hübner, S., Cvrček, D., Švenda, P. (eds.) Privacy and Identity 2008. IAICT, vol. 298, pp. 237–253. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-03315-5_18

    Chapter  Google Scholar 

  25. Berry, M.J., Linoff, G.: Data Mining Techniques: For Marketing, Sales, and Customer Support. Wiley, New York (1997)

    Google Scholar 

  26. Besmer, A., Watson, J., Lipford, H.R.: The impact of social navigation on privacy policy configuration. In: Proceedings of the Sixth Symposium on Usable Privacy and Security, SOUPS 2010, pp. 7:1–7:10. ACM, Redmond (2010). https://doi.org/10.1145/1837110.1837120

  27. Bettman, J.R., Luce, M.F., Payne, J.W.: Constructive consumer choice processes. J. Consum. Res. 25(3), 187–217 (1998). https://doi.org/10.1086/209535

    Article  Google Scholar 

  28. Binder, J., Howes, A., Sutcliffe, A.: The problem of conflicting social spheres: effects of network structure on experienced tension in social network sites. In: Proceedings of the 27th International Conference on Human Factors in Computing Systems, CHI 2009, pp. 965–974. ACM, Boston (2009). https://doi.org/10.1145/1518701.1518849

  29. Birnholtz, J., Guillory, J., Hancock, J., Bazarova, N.: “On my way”: deceptive texting and interpersonal awareness narratives. In: Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010, pp. 1–4. ACM, Savannah (2010). https://doi.org/10.1145/1718918.1718920

  30. Bogers, T.: Tag-based recommendation. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 441–479. Springer, Cham (2018)

    Google Scholar 

  31. Bothorel, C., Lathia, N., Picot-Clemente, R., Noulas, A.: Location recommendation with social media data. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 624–653. Springer, Cham (2018)

    Google Scholar 

  32. Boyd, D.M., Ellison, N.B.: Social network sites: definition, history, and scholarship. J. Comput.-Mediat. Commun. 13(1), 210–230 (2007). https://doi.org/10.1111/j.1083-6101.2007.00393.x

    Article  Google Scholar 

  33. Brandimarte, L., Acquisti, A., Loewenstein, G.: Misplaced confidences: privacy and the control paradox. Soc. Psychol. Pers. Sci. 4(3), 340–347 (2013). https://doi.org/10.1177/1948550612455931

    Article  Google Scholar 

  34. Brody, R.G., Mulig, E., Kimball, V.: Phishing, pharming and identity theft. Acad. Account. Finan. Stud. J. 11(3), 43–56 (2007)

    Google Scholar 

  35. Brown, G., Howe, T., Ihbe, M., Prakash, A., Borders, K.: Social networks and context-aware spam. In: Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work, CSCW 2008, pp. 403–412. ACM, San Diego (2008). https://doi.org/10.1145/1460563.1460628

  36. Brusilovsky, P.: Social information access: the other side of the social web. In: Geffert, V., Karhumäki, J., Bertoni, A., Preneel, B., Návrat, P., Bieliková, M. (eds.) SOFSEM 2008. LNCS, vol. 4910, pp. 5–22. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-77566-9_2

    Chapter  Google Scholar 

  37. Brusilovsky, P., He, D.: Social information access: definition and classification. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 1–18. Springer, Cham (2018)

    Google Scholar 

  38. Brusilovsky, P., Smyth, B., Shapira, B.: Social search. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 213–276. Springer, Cham (2018)

    Google Scholar 

  39. Burke, M., Marlow, C., Lento, T.: Social network activity and social well-being. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2010, pp. 1909–1912. ACM, Atlanta (2010). https://doi.org/10.1145/1753326.1753613

  40. Caine, K., Hanania, R.: Patients want granular privacy control over health information in electronic medical records. J. Am. Med. Inform. Assoc. 20(1), 7–15 (2013). https://doi.org/10.1136/amiajnl-2012-001023

    Article  Google Scholar 

  41. Caine, K., Kohn, S., Lawrence, C., Hanania, R., Meslin, E.M., Tierney, W.M.: Designing a patient-centered user interface for access decisions about EHR data: implications from patient interviews. J. Gen. Intern. Med. 30(1), 7–16 (2015). https://doi.org/10.1007/s11606-014-3049-9

    Article  Google Scholar 

  42. Calandrino, J.A., Kilzer, A., Narayanan, A., Felten, E.W., Shmatikov, V.: You might also like: privacy risks of collaborative filtering. In: Proceedings of the 2011 IEEE Symposium on Security and Privacy, pp. 231–246. IEEE, Oakland (2011). https://doi.org/10.1109/SP.2011.40

  43. Campan, A., Truta, T.M.: Data and structural k-anonymity in social networks. In: Bonchi, F., Ferrari, E., Jiang, W., Malin, B. (eds.) PInKDD 2008. LNCS, vol. 5456, pp. 33–54. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01718-6_4

    Chapter  Google Scholar 

  44. Canny, J.F.: Collaborative filtering with privacy. In: Proceedings of the IEEE Symposium on Security and Privacy, pp. 45–57. IEEE Computer Society, Washington, DC (2002)

    Google Scholar 

  45. Cashmore, P.: Facebook Recommends Reconnecting with Ex-Lovers, Dead Friends (2009). http://mashable.com/2009/10/25/facebook-reconnect/

  46. Cassel, L.N., Wolz, U.: Client side personalization. In: DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries, Dublin, Ireland, pp. 8–12 (2001)

    Google Scholar 

  47. Cavusoglu, H., Phan, T., Cavusoglu, H.: Privacy controls and content sharing patterns of online social network users: a natural experiment. In: ICIS 2013 Proceedings, Milan, Italy (2013)

    Google Scholar 

  48. Chan, K.H.: Memories of Friends Departed Endure on Facebook (2009). https://www.facebook.com/notes/facebook/memories-of-friends-departed-endure-on-facebook/163091042130/

  49. Chellappa, R.K., Sin, R.G.: Personalization versus privacy: an empirical examination of the online consumer’s dilemma. Inf. Technol. Manag. 6(2–3), 181–202 (2005). https://doi.org/10.1007/s10799-005-5879-y

    Article  Google Scholar 

  50. Chen, D., Fraiberger, S.P., Moakler, R., Provost, F.: Enhancing transparency and control when drawing data-driven inferences about individuals. In: Working Paper (2015). http://archive.nyu.edu/handle/2451/33969

  51. Chen, H., Chiang, R.H.L., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4), 1165–1188 (2012)

    Google Scholar 

  52. Chen, H.G., Chen, C.C., Lo, L., Yang, S.C.: Online privacy control via anonymity and pseudonym: cross-cultural implications. Behav. Inf. Technol. 27(3), 229–242 (2008). https://doi.org/10.1080/01449290601156817

    Article  Google Scholar 

  53. Chen, Y.F.: Herd behavior in purchasing books online. Comput. Hum. Behav. 24(5), 1977–1992 (2008). https://doi.org/10.1016/j.chb.2007.08.004

    Article  Google Scholar 

  54. Cho, D., Kim, S., Acquisti, A.: Empirical analysis of online anonymity and user behaviors: the impact of real name policy. In: 2012 45th Hawaii International Conference on System Science, HICSS 2012, pp. 3041–3050. IEEE Computer Society, Maui (2012). https://doi.org/10.1109/HICSS.2012.241

  55. Coleman, G.: Phreaks, hackers, and trolls: the politics of transgression and spectacle. In: Mandiberg, M. (ed.) The Social Media Reader, pp. 99–119. NYU Press, New York (2012)

    Google Scholar 

  56. Compañó, R., Lusoli, W.: The policy maker’s anguish: regulating personal data behavior between paradoxes and dilemmas. In: Moore, T., Pym, D., Ioannidis, C. (eds.) Economics of Information Security and Privacy, pp. 169–185. Springer, New York (2010). https://doi.org/10.1007/978-1-4419-6967-5_9

    Chapter  Google Scholar 

  57. Consolvo, S., Smith, I., Matthews, T., LaMarca, A., Tabert, J., Powledge, P.: Location disclosure to social relations: why, when, & what people want to share. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2005, pp. 81–90. ACM, Portland (2005). https://doi.org/10.1145/1054972.1054985

  58. Consumer Reports: Facebook & your privacy: who sees the data you share on the biggest social network? (2012). http://www.consumerreports.org/cro/magazine/2012/06/facebook-your-privacy

  59. Cosley, D., Lam, S.K., Albert, I., Konstan, J.A., Riedl, J.: Is seeing believing?: how recommender system interfaces affect users’ opinions. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2003, pp. 585–592. ACM, Ft. Lauderdale (2003). https://doi.org/10.1145/642611.642713

  60. Coupey, E., Irwin, J.R., Payne, J.W.: Product category familiarity and preference construction. J. Consum. Res. 24(4), 459–468 (1998). https://doi.org/10.1086/209521

    Article  Google Scholar 

  61. Culnan, M.J.: “How did they get my name?”: an exploratory investigation of consumer attitudes toward secondary information use. MIS Q. 17(3), 341–363 (1993). https://doi.org/10.2307/249775

    Article  Google Scholar 

  62. Culnan, M.J.: Consumer awareness of name removal procedures: Implications for direct marketing. J. Dir. Mark. 9(2), 10–19 (1995). https://doi.org/10.1002/dir.4000090204

    Article  Google Scholar 

  63. De Wolf, R., Pierson, J.: Researching social privacy on SNS through developing and evaluating alternative privacy technologies. In: Proceedings of the CSCW 2013 Networked Social Privacy Workshop, San Antonio, TX (2013)

    Google Scholar 

  64. Deuker, A.: Friend-to-friend privacy protection on social networking sites: a grounded theory study. In: AMCIS 2012 Proceedings, Seattle, WA (2012)

    Google Scholar 

  65. Di Castro, D., Lewin-Eytan, L., Maarek, Y., Wolff, R., Zohar, E.: Enforcing K-anonymity in web mail auditing. In: Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, WSDM 2016, pp. 327–336. ACM, New York (2016). https://doi.org/10.1145/2835776.2835803

  66. DiGioia, P., Dourish, P.: Social navigation as a model for usable security. In: Proceedings of the 2005 Symposium on Usable Privacy and Security, SOUPS 2005, pp. 101–108. ACM, Pittsburgh (2005). https://doi.org/10.1145/1073001.1073011

  67. DiMicco, J., Millen, D.R., Geyer, W., Dugan, C., Brownholtz, B., Muller, M.: Motivations for social networking at work. In: Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work, CSCW 2008, pp. 711–720. ACM, New York (2008). https://doi.org/10.1145/1460563.1460674

  68. Dimitrov, D., Helic, D., Strohmaier, M.: Tag-based navigation and visualization. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 181–212. Springer, Cham (2018)

    Google Scholar 

  69. Dong, C., Jin, H., Knijnenburg, B.P.: Predicting privacy behavior on online social networks. In: Ninth International AAAI Conference on Web and Social Media, ICWSM 2015, pp. 91–100. AAAI Publications, Oxford (2015)

    Google Scholar 

  70. Duggan, M.: Mobile messaging and social media - 2015. Technical report, Pew Research Center (2015). http://www.pewinternet.org/2015/08/19/mobile-messaging-and-social-media-2015/

  71. Duhigg, C.: How Companies Learn Your Secrets. The New York Times (2012). http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html

  72. D’Urso, S.C.: Who’s watching us at work? Toward a structural-perceptual model of electronic monitoring and surveillance in organizations. Commun. Theory 16(3), 281–303 (2006). https://doi.org/10.1111/j.1468-2885.2006.00271.x

    Article  Google Scholar 

  73. Egelman, S.: My profile is my password, verify me!: the privacy/convenience tradeoff of Facebook connect. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2013, pp. 2369–2378. ACM, Paris (2013). https://doi.org/10.1145/2470654.2481328

  74. Ehrlich, K., Shami, N.S.: Microblogging inside and outside the workplace. In: Fourth International AAAI Conference on Weblogs and Social Media, ICWSM 2010, pp. 42–49. AAAI Publications, Washington, DC (2010)

    Google Scholar 

  75. Ellison, N.B., Steinfield, C., Lampe, C.: The benefits of Facebook “Friends:” social capital and college students’ use of online social network sites. J. Comput.-Mediat. Commun. 12(4), 1143–1168 (2007). https://doi.org/10.1111/j.1083-6101.2007.00367.x

    Article  Google Scholar 

  76. Ellison, N.B., Steinfield, C., Lampe, C.: Connection strategies: social capital implications of Facebook-enabled communication practices. New Media Soc. 13(6), 873–892 (2011). https://doi.org/10.1177/1461444810385389

    Article  Google Scholar 

  77. Ellison, N.B., Vitak, J., Steinfield, C., Gray, R., Lampe, C.: Negotiating privacy concerns and social capital needs in a social media environment. In: Trepte, S., Reinecke, L. (eds.) Privacy Online: Perspectives on Privacy and Self-Disclosure in the Social Web, pp. 19–32. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21521-6_3

    Chapter  Google Scholar 

  78. EU: Regulation (EU) 2016/679 of the European Parliament and the Council of 27 April 2016 on the protection of individuals with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) (2016). http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32016R0679

  79. European Commission: Factsheet on the “Right to be Forgotten” ruling. Technical report C-131/12, European Commission, Brussels, Belgium (2014). http://ec.europa.eu/justice/data-protection/files/factsheets/factsheet_data_protection_en.pdf

  80. Fang, L., LeFevre, K.: Privacy wizards for social networking sites. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010, pp. 351–360. ACM, Raleigh (2010). https://doi.org/10.1145/1772690.1772727

  81. Farzan, R., Brusilovsky, P.: Social navigation. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 142–180. Springer, Cham (2018)

    Google Scholar 

  82. Featherman, M.S., Pavlou, P.A.: Predicting e-services adoption: a perceived risk facets perspective. Int. J. Hum.-Comput. Stud. 59(4), 451–474 (2003). https://doi.org/10.1016/S1071-5819(03)00111-3

    Article  Google Scholar 

  83. Federal Trade Committee: Privacy Online: Fair Information Practices in the Electronic Marketplace. A Report to Congress (2000). http://www.ftc.gov/reports/privacy2000/privacy2000.pdf

  84. Federal Trade Committee: Protecting Consumer Privacy in an Era of Rapid Change: Recommendations for Businesses and Policymakers (2012). https://www.ftc.gov/sites/default/files/documents/reports/federal-trade-commission-report-protecting-consumer-privacy-era-rapid-change-recommendations/120326privacyreport.pdf

  85. Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley Pub. Co., Reading (1975)

    Google Scholar 

  86. Fiske, S.T., Hauser, R.M.: Protecting human research participants in the age of big data. Proc. Natl. Acad. Sci. 111(38), 13,675–13,676 (2014). https://doi.org/10.1073/pnas.1414626111

    Article  Google Scholar 

  87. Friedman, A., Knijnenburg, B.P., Vanhecke, K., Martens, L., Berkovsky, S.: Privacy aspects of recommender systems. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook, 2nd edn, pp. 649–688. Springer, Boston, MA (2015). https://doi.org/10.1007/978-1-4899-7637-6_19

    Chapter  Google Scholar 

  88. Friedrich, G., Zanker, M.: A taxonomy for generating explanations in recommender systems. AI Mag. 32(3), 90–98 (2011). https://doi.org/10.1609/aimag.v32i3.2365

    Article  Google Scholar 

  89. van de Garde-Perik, E., Markopoulos, P., de Ruyter, B., Eggen, B., Ijsselsteijn, W.: Investigating privacy attitudes and behavior in relation to personalization. Soc. Sci. Comput. Rev. 26(1), 20–43 (2008). https://doi.org/10.1177/0894439307307682

    Article  Google Scholar 

  90. Gedikli, F., Jannach, D., Ge, M.: How should I explain? A comparison of different explanation types for recommender systems. Int. J. Hum.-Comput. Stud. 72(4), 367–382 (2014). https://doi.org/10.1016/j.ijhcs.2013.12.007

    Article  Google Scholar 

  91. Goecks, J., Edwards, W.K., Mynatt, E.D.: Challenges in supporting end-user privacy and security management with social navigation. In: Proceedings of the 5th Symposium on Usable Privacy and Security, SOUPS 2009, pp. 5:1–5:12. ACM, Mountain View (2009). https://doi.org/10.1145/1572532.1572539

  92. Gross, R., Acquisti, A.: Information revelation and privacy in online social networks. In: Proceedings of the 2005 ACM Workshop on Privacy in the Electronic Society, WPES 2005, pp. 71–80. ACM, Alexandria (2005). https://doi.org/10.1145/1102199.1102214

  93. Guillaume, D.: Amazing mind reader reveals his ‘gift’ (2012). https://www.youtube.com/watch?v=F7pYHN9iC9I

  94. Gürses, S., Diaz, C.: Two tales of privacy in online social networks. IEEE Secur. Priv. 11(3), 29–37 (2013). https://doi.org/10.1109/MSP.2013.47

    Article  Google Scholar 

  95. Guy, I.: People recommendation on social media. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 570–623. Springer, Cham (2018)

    Google Scholar 

  96. Hampton, K., Goulet, L.S., Marlow, C., Rainie, L.: Why most Facebook users get more than they give. Technical report, Pew Internet & American Life Project (2012). http://www.pewinternet.org/2012/02/03/why-most-facebook-users-get-more-than-they-give/

  97. Han, S., He, D.: Network-based social search. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 277–309. Springer, Cham (2018)

    Google Scholar 

  98. Hancock, J., Birnholtz, J., Bazarova, N., Guillory, J., Perlin, J., Amos, B.: Butler lies: awareness, deception and design. In: Proceedings of the 27th International Conference on Human Factors in Computing Systems, CHI 2009, pp. 517–526. ACM, Boston (2009). https://doi.org/10.1145/1518701.1518782

  99. Hancock, J.T., Thom-Santelli, J., Ritchie, T.: Deception and design: the impact of communication technology on lying behavior. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2004, pp. 129–134. ACM, Vienna (2004). https://doi.org/10.1145/985692.985709

  100. Hann, I.H., Hui, K.L., Lee, S.Y., Png, I.: Overcoming online information privacy concerns: an information-processing theory approach. J. Manag. Inf. Syst. 24(2), 13–42 (2007). https://doi.org/10.2753/MIS0742-1222240202

    Article  Google Scholar 

  101. Harris Interactive Inc.: A Survey of Consumer Privacy Attitudes and Behaviors (2000). http://www.bbbonline.org/UnderstandingPrivacy/library/harrissummary.pdf

  102. Hasler, L., Ruthven, I.: Escaping information poverty through internet newsgroups. In: Fifth International AAAI Conference on Weblogs and Social Media, ICWSM 2011, pp. 153–160. AAAI Publications, Barcelona (2011)

    Google Scholar 

  103. Hassing, L.: An exploratory study in the concerns for information privacy. Master thesis, University of Delft, Netherlands (2015)

    Google Scholar 

  104. Henry, A.: How Facebook Is Using You to Annoy Your Friends (and How to Stop It) (2013). http://lifehacker.com/5987248/how-facebook-is-using-you-to-annoy-your-friends-and-how-to-stop-it

  105. Ho, S.Y., Tam, K.: Understanding the impact of web personalization on user information processing and decision outcomes. MIS Q. 30(4), 865–890 (2006)

    Article  Google Scholar 

  106. Hong, J.: The state of phishing attacks. Commun. ACM 55(1), 74–81 (2012). https://doi.org/10.1145/2063176.2063197

    Article  Google Scholar 

  107. House, W.: Consumer data privacy in a networked world: a framework for protecting privacy and promoting innovation in the global economy. Technical report, White House, Washington, D.C. (2012)

    Google Scholar 

  108. Huang, J.H., Chen, Y.F.: Herding in online product choices. Psychol. Market. 23(5), 413–428 (2006). https://doi.org/10.1002/mar.20119

    Article  Google Scholar 

  109. Huber, J., Puto, C.: Market boundaries and product choice: illustrating attraction and substitution effects. J. Consum. Res. 10(1), 31–44 (1983)

    Article  Google Scholar 

  110. Huberman, B.A., Adar, E., Fine, L.A.: Valuating privacy. IEEE Secur. Priv. 3(5), 22–25 (2005). https://doi.org/10.1109/MSP.2005.137

    Article  Google Scholar 

  111. Hui, K.L., Tan, B.C.Y., Goh, C.Y.: Online information disclosure: motivators and measurements. ACM Trans. Internet Technol. 6(4), 415–441 (2006). https://doi.org/10.1145/1183463.1183467

    Article  Google Scholar 

  112. Hull, G., Lipford, H.R., Latulipe, C.: Contextual gaps: privacy issues on Facebook. Ethics Inf. Technol. 13(4), 289–302 (2011). https://doi.org/10.1007/s10676-010-9224-8

    Article  Google Scholar 

  113. Iachello, G., Hong, J.: End-user privacy in human-computer interaction. Found. Trends® Hum.-Comput. Interact. 1(1), 1–137 (2007). https://doi.org/10.1561/1100000004

    Article  MATH  Google Scholar 

  114. Iachello, G., Smith, I., Consolvo, S., Chen, M., Abowd, G.D.: Developing privacy guidelines for social location disclosure applications and services. In: Proceedings of the 2005 Symposium on Usable Privacy and Security, SOUPS 2005, pp. 65–76. ACM, Philadelphia (2005). https://doi.org/10.1145/1073001.1073008

  115. Iyilade, J.: Enforcing privacy in secondary user information sharing and usage. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds.) UMAP 2013. LNCS, vol. 7899, pp. 396–400. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38844-6_48

    Chapter  Google Scholar 

  116. Jannach, D., Lerche, L., Zanker, M.: Recommending based on implicit feedback. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 510–569. Springer, Cham (2018)

    Google Scholar 

  117. Jedrzejczyk, L., Price, B.A., Bandara, A.K., Nuseibeh, B.: On the impact of real-time feedback on users’ behaviour in mobile location-sharing applications. In: Proceedings of the Sixth Symposium on Usable Privacy and Security, SOUPS 2010, Redmond, Washington, pp. 14:1–14:12 (2010). https://doi.org/10.1145/1837110.1837129

  118. Jensen, C., Potts, C., Jensen, C.: Privacy practices of internet users: self-reports versus observed behavior. Int. J. Hum.-Comput. Stud. 63(1–2), 203–227 (2005). https://doi.org/10.1016/j.ijhcs.2005.04.019

    Article  Google Scholar 

  119. John, L.K., Acquisti, A., Loewenstein, G.: Strangers on a plane: context-dependent willingness to divulge sensitive information. J. Consum. Res. 37(5), 858–873 (2011). https://doi.org/10.1086/656423

    Article  Google Scholar 

  120. Johnson, E.J., Bellman, S., Lohse, G.L.: Defaults, framing and privacy: why opting in \(\ne \) opting out. Mark. Lett. 13(1), 5–15 (2002). https://doi.org/10.1023/A:1015044207315

    Article  Google Scholar 

  121. Johnson, E.J., Goldstein, D.: Do defaults save lives? Science 302(5649), 1338–1339 (2003). https://doi.org/10.1126/science.1091721

    Article  Google Scholar 

  122. Johnson, H.M., Seifert, C.M.: Sources of the continued influence effect: when misinformation in memory affects later inferences. J. Exp. Psychol.: Learn. Mem. Cogn. 20(6), 1420–1436 (1994). https://doi.org/10.1037/0278-7393.20.6.1420

    Article  Google Scholar 

  123. Johnson, M., Egelman, S., Bellovin, S.M.: Facebook and privacy: it’s complicated. In: Proceedings of the 8th Symposium on Usable Privacy and Security, SOUPS 2012, pp. 9:1–9:15. ACM, Pittsburgh (2012). https://doi.org/10.1145/2335356.2335369

  124. Joinson, A.N., Paine, C., Buchanan, T., Reips, U.D.: Measuring self-disclosure online: blurring and non-response to sensitive items in web-based surveys. Comput. Hum. Behav. 24(5), 2158–2171 (2008). https://doi.org/10.1016/j.chb.2007.10.005

    Article  Google Scholar 

  125. Joinson, A.N., Reips, U.D., Buchanan, T., Schofield, C.B.P.: Privacy, trust, and self-disclosure online. Hum.-Comput. Interact. 25(1), 1–24 (2010). https://doi.org/10.1080/07370020903586662

    Article  Google Scholar 

  126. Juels, A.: Targeted advertising \(\ldots \) and privacy too. In: Naccache, D. (ed.) CT-RSA 2001. LNCS, vol. 2020, pp. 408–424. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45353-9_30

    Chapter  Google Scholar 

  127. Kahneman, D., Knetsch, J.L., Thaler, R.H.: Anomalies: the endowment effect, loss aversion, and status quo bias. J. Econ. Perspect. 5(1), 193–206 (1991). https://doi.org/10.1257/jep.5.1.193

    Article  Google Scholar 

  128. Kahneman, D., Tversky, A.: Choices, Values, and Frames. Cambridge University Press, Cambridge (2000)

    MATH  Google Scholar 

  129. Kairam, S., Brzozowski, M., Huffaker, D., Chi, E.: Talking in circles: selective sharing in Google+. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2012, pp. 1065–1074. ACM, Austin (2012). https://doi.org/10.1145/2207676.2208552

  130. Kantor, K.: People You May Know (2015). https://www.youtube.com/watch?v=LoyfunmYIpU

  131. Kay, J., Kummerfeld, B.: Creating personalized systems that people can scrutinize and control: drivers, principles and experience. ACM Trans. Interact. Intell. Syst. 2(4), 24:1–24:42 (2013). https://doi.org/10.1145/2395123.2395129

    Article  Google Scholar 

  132. Kelley, P.G., Brewer, R., Mayer, Y., Cranor, L.F., Sadeh, N.: An investigation into Facebook friend grouping. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011. LNCS, vol. 6948, pp. 216–233. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23765-2_15

    Chapter  Google Scholar 

  133. Kim, D.J., Ferrin, D.L., Rao, H.R.: A trust-based consumer decision-making model in electronic commerce: the role of trust, perceived risk, and their antecedents. Decis. Support Syst. 44(2), 544–564 (2008). https://doi.org/10.1016/j.dss.2007.07.001

    Article  Google Scholar 

  134. Kluver, D., Ekstrand, M., Konstan, J.: Rating-based collaborative filtering: algorithms and evaluation. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 344–390. Springer, Cham (2018)

    Google Scholar 

  135. Knijnenburg, B.P.: Simplifying privacy decisions: towards interactive and adaptive solutions. In: Proceedings of the Recsys 2013 Workshop on Human Decision Making in Recommender Systems, Decisions@Recsys 2013, Hong Kong, China, pp. 40–41 (2013)

    Google Scholar 

  136. Knijnenburg, B.P.: A user-tailored approach to privacy decision support. Ph.D. thesis, University of California, Irvine, Irvine, CA (2015). http://search.proquest.com/docview/1725139739/abstract

  137. Knijnenburg, B.P., Jin, H.: The persuasive effect of privacy recommendations. In: Twelfth Annual Workshop on HCI Research in MIS, Milan, Italy, pp. 16:1–16:5 (2013)

    Google Scholar 

  138. Knijnenburg, B.P., Kobsa, A.: Helping users with information disclosure decisions: potential for adaptation. In: Proceedings of the 2013 ACM International Conference on Intelligent User Interfaces, IUI 2013, pp. 407–416. ACM Press, Santa Monica (2013). https://doi.org/10.1145/2449396.2449448

  139. Knijnenburg, B.P., Kobsa, A.: Making decisions about privacy: information disclosure in context-aware recommender systems. ACM Trans. Interact. Intell. Syst. 3(3), 20:1–20:23 (2013). https://doi.org/10.1145/2499670

    Article  Google Scholar 

  140. Knijnenburg, B.P., Kobsa, A.: Increasing sharing tendency without reducing satisfaction: finding the best privacy-settings user interface for social networks. In: ICIS 2014 Proceedings, Auckland, New Zealand (2014)

    Google Scholar 

  141. Knijnenburg, B.P., Kobsa, A., Jin, H.: Counteracting the negative effect of form auto-completion on the privacy calculus. In: ICIS 2013 Proceedings, Milan, Italy (2013)

    Google Scholar 

  142. Knijnenburg, B.P., Kobsa, A., Jin, H.: Dimensionality of information disclosure behavior. Int. J. Hum.-Comput. Stud. 71(12), 1144–1162 (2013). https://doi.org/10.1016/j.ijhcs.2013.06.003

    Article  Google Scholar 

  143. Knijnenburg, B.P., Kobsa, A., Jin, H.: Preference-based location sharing: are more privacy options really better? In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2013, pp. 2667–2676. ACM, Paris (2013). https://doi.org/10.1145/2470654.2481369

  144. Knijnenburg, B.P., Sivakumar, S., Wilkinson, D.: Recommender systems for self-actualization. In: Proceedings of the 10th ACM Conference on Recommender Systems, RecSys 2016, pp. 11–14. ACM, Boston (2016). https://doi.org/10.1145/2959100.2959189

  145. Knijnenburg, B.P., Willemsen, M.C.: Evaluating recommender systems with user experiments. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook, 2nd edn, pp. 309–352. Springer, Boston (2015). https://doi.org/10.1007/978-1-4899-7637-6_9

    Chapter  Google Scholar 

  146. Knijnenburg, B.P., Willemsen, M.C., Gantner, Z., Soncu, H., Newell, C.: Explaining the user experience of recommender systems. User Model. User-Adap. Interact. 22(4–5), 441–504 (2012). https://doi.org/10.1007/s11257-011-9118-4

    Article  Google Scholar 

  147. Knijnenburg, B.P., Willemsen, M.C., Hirtbach, S.: Receiving recommendations and providing feedback: the user-experience of a recommender system. In: Buccafurri, F., Semeraro, G. (eds.) EC-Web 2010. LNBIP, vol. 61, pp. 207–216. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15208-5_19

    Chapter  Google Scholar 

  148. Kobsa, A.: Tailoring privacy to users’ needs (invited keynote). In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds.) UM 2001. LNCS (LNAI), vol. 2109, pp. 303–313. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44566-8_52

    Chapter  MATH  Google Scholar 

  149. Kobsa, A., Cho, H., Knijnenburg, B.P.: The effect of personalization provider characteristics on privacy attitudes and behaviors: an elaboration likelihood model approach. J. Assoc. Inf. Sci. Technol. 67, 2587–2606 (2016). https://doi.org/10.1002/asi.23629

    Article  Google Scholar 

  150. Kobsa, A., Patil, S., Meyer, B.: Privacy in instant messaging: an impression management model. Behav. Inf. Technol. 31(4), 355–370 (2012). https://doi.org/10.1080/01449291003611326

    Article  Google Scholar 

  151. Kobsa, A., Schreck, J.: Privacy through pseudonymity in user-adaptive systems. ACM Trans. Internet Technol. 3(2), 149–183 (2003). https://doi.org/10.1145/767193.767196

    Article  Google Scholar 

  152. Kobsa, A., Teltzrow, M.: Contextualized communication of privacy practices and personalization benefits: impacts on users’ data sharing and purchase behavior. In: Martin, D., Serjantov, A. (eds.) PET 2004. LNCS, vol. 3424, pp. 329–343. Springer, Heidelberg (2005). https://doi.org/10.1007/11423409_21

    Chapter  Google Scholar 

  153. Koroleva, K., Krasnova, H., Veltri, N., Günther, O.: It’s all about networking! empirical investigation of social capital formation on social network sites. In: ICIS 2011 Proceedings, Shanghai, China (2011)

    Google Scholar 

  154. Kosinski, M., Stillwell, D., Graepel, T.: Private traits and attributes are predictable from digital records of human behavior. Proc. Natl. Acad. Sci. 110(15), 5802–5805 (2013). https://doi.org/10.1073/pnas.1218772110

    Article  Google Scholar 

  155. Krämer, N.C., Haferkamp, N.: Online self-presentation: balancing privacy concerns and impression construction on social networking sites. In: Trepte, S., Reinecke, L. (eds.) Privacy Online: Perspectives on Privacy and Self-Disclosure in the Social Web, pp. 127–141. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21521-6_10

    Chapter  Google Scholar 

  156. Krasnova, H., Hildebrand, T., Guenther, O.: Investigating the value of privacy in online social networks: conjoint analysis. In: ICIS 2009 Proceedings, Phoenix, AZ (2009)

    Google Scholar 

  157. Krishnamurthy, B., Wills, C.: Privacy diffusion on the web: a longitudinal perspective. In: Proceedings of the 18th International Conference on World Wide Web, WWW 2009, pp. 541–550. ACM, Madrid (2009). https://doi.org/10.1145/1526709.1526782

  158. Lai, Y.L., Hui, K.L.: Internet opt-in and opt-out: investigating the roles of frames, defaults and privacy concerns. In: Proceedings of the 2006 ACM SIGMIS Conference on Computer Personnel Research, Claremont, CA, pp. 253–263 (2006). https://doi.org/10.1145/1125170.1125230

  159. Lampe, C., Ellison, N., Steinfield, C.: A face(book) in the crowd: social searching vs. social browsing. In: Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work, CSCW 2006, pp. 167–170. ACM, Banff (2006). https://doi.org/10.1145/1180875.1180901

  160. Lampinen, A., Lehtinen, V., Lehmuskallio, A., Tamminen, S.: We’re in it together: interpersonal management of disclosure in social network services. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2011, pp. 3217–3226. ACM, New York (2011). https://doi.org/10.1145/1978942.1979420

  161. Lanier, J.: You Are Not a Gadget: A Manifesto, Large Print edn. Thorndike Press, Waterville (2010)

    Google Scholar 

  162. Lathia, N., Hailes, S., Capra, L.: Private distributed collaborative filtering using estimated concordance measures. In: Proceedings of the 2007 ACM Conference on Recommender Systems, RecSys 2007, pp. 1–8. ACM, New York (2007)

    Google Scholar 

  163. Laufer, R.S., Proshansky, H.M., Wolfe, M.: Some analytic dimensions of privacy. In: Küller, R. (ed.) Proceedings of the Lund Conference on Architectural Psychology. Dowden, Hutchinson & Ross, Lund (1973)

    Google Scholar 

  164. Laufer, R.S., Wolfe, M.: Privacy as a concept and a social issue: a multidimensional developmental theory. J. Soc. Issues 33(3), 22–42 (1977). https://doi.org/10.1111/j.1540-4560.1977.tb01880.x

    Article  Google Scholar 

  165. Leary, M.R.: Self-presentation: Impression Management and Interpersonal Behavior. Routledge, Boulder (1996). ISBN 978-0-8133-3004-4

    Google Scholar 

  166. Lederer, S., Hong, J.I., Dey, A.K., Landay, J.A.: Personal privacy through understanding and action: five pitfalls for designers. Pers. Ubiquit. Comput. 8(6), 440–454 (2004). https://doi.org/10.1007/s00779-004-0304-9

    Article  Google Scholar 

  167. Lederer, S., Mankoff, J., Dey, A.K.: Who wants to know what when? Privacy preference determinants in ubiquitous computing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2003, pp. 724–725. ACM, Ft. Lauderdale (2003). https://doi.org/10.1145/765891.765952

  168. Lee, D., Brusilovsky, P.: Recommendations based on social links. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 391–440. Springer, Cham (2018)

    Google Scholar 

  169. Lee, H., Park, S.J.: MONERS: a news recommender for the mobile web. Expert Syst. Appl. 32(1), 143–150 (2007). https://doi.org/10.1016/j.eswa.2005.11.010

    Article  Google Scholar 

  170. Lee, J.S., Lee, J.C.: Context awareness by case-based reasoning in a music recommendation system. In: Ichikawa, H., Cho, W.-D., Satoh, I., Youn, H.Y. (eds.) UCS 2007. LNCS, vol. 4836, pp. 45–58. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-76772-5_4

    Chapter  Google Scholar 

  171. Li, H., Sarathy, R., Xu, H.: The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decis. Support Syst. 51(3), 434–445 (2011). https://doi.org/10.1016/j.dss.2011.01.017

    Article  Google Scholar 

  172. Li, Y.: Theories in online information privacy research: a critical review and an integrated framework. Decis. Support Syst. 54(1), 471–481 (2012). https://doi.org/10.1016/j.dss.2012.06.010

    Article  Google Scholar 

  173. Litt, E.: Knock, knock. who’s there? The imagined audience. J. Broadcast. Electron. Media 56(3), 330–345 (2012). https://doi.org/10.1080/08838151.2012.705195

    Article  Google Scholar 

  174. Liu, Y., Gummadi, K.P., Krishnamurthy, B., Mislove, A.: Analyzing Facebook privacy settings: user expectations vs. reality. In: Proceedings of the 2011 ACM SIGCOMM Conference on Internet Measurement Conference, IMC 2011, pp. 61–70. ACM, Berlin (2011). https://doi.org/10.1145/2068816.2068823

  175. Lou, J., Fang, Y., Lim, K.H., Peng, J.Z.: Contributing high quantity and quality knowledge to online Q&A communities. J. Am. Soc. Inf. Sci. Technol. 64(2), 356–371 (2013). https://doi.org/10.1002/asi.22750

    Article  Google Scholar 

  176. Lowry, P.B., Moody, G., Vance, A., Jensen, M., Jenkins, J., Wells, T.: Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers. J. Am. Soc. Inf. Sci. Technol. 63(4), 755–776 (2012). https://doi.org/10.1002/asi.21705

    Article  Google Scholar 

  177. Lustig, C., Pine, K., Nardi, B., Irani, L., Lee, M.K., Nafus, D., Sandvig, C.: Algorithmic authority: the ethics, politics, and economics of algorithms that interpret, decide, and manage. In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, CHI EA 2016, pp. 1057–1062. ACM, New York (2016). https://doi.org/10.1145/2851581.2886426

  178. Machanavajjhala, A., Korolova, A., Sarma, A.D.: Personalized social recommendations: accurate or private. Proc. VLDB Endow. 4(7), 440–450 (2011). https://doi.org/10.14778/1988776.1988780

    Article  Google Scholar 

  179. Madden, M.: Privacy management on social media sites. Technical report, Pew Internet & American Life Project, Pew Research Center, Washington, DC (2012). http://www.pewinternet.org/2012/02/24/privacy-management-on-social-media-sites/

  180. Madejski, M., Johnson, M., Bellovin, S.: A study of privacy settings errors in an online social network. In: 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), SESOC 2012, Lugano, Switzerland, pp. 340–345 (2012). https://doi.org/10.1109/PerComW.2012.6197507

  181. Marwick, A.E., Boyd, D.: I Tweet honestly, I Tweet passionately: Twitter users, context collapse, and the imagined audience. New Media Soc. 13(1), 114–133 (2011). https://doi.org/10.1177/1461444810365313

    Article  Google Scholar 

  182. McGinty, L., Smyth, B.: Adaptive selection: an analysis of critiquing and preference-based feedback in conversational recommender systems. Int. J. Electron. Commer. 11(2), 35–57 (2006)

    Article  Google Scholar 

  183. McKenzie, C.R.M., Liersch, M.J., Finkelstein, S.R.: Recommendations implicit in policy defaults. Psychol. Sci. 17(5), 414–420 (2006). https://doi.org/10.1111/j.1467-9280.2006.01721.x

    Article  Google Scholar 

  184. McSherry, F., Mironov, I.: Differentially private recommender systems: building privacy into the net. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2009, pp. 627–636. ACM, Paris (2009). https://doi.org/10.1145/1557019.1557090

  185. Meisler, B.: Why Are Dead People Liking Stuff on Facebook? (2012). http://readwrite.com/2012/12/11/why-are-dead-people-liking-stuff-on-facebook

  186. Metzger, M.J.: Privacy, trust, and disclosure: exploring barriers to electronic commerce. J. Comput.-Mediat. Commun. 9(4) (2004). https://doi.org/10.1111/j.1083-6101.2004.tb00292.x

    Article  Google Scholar 

  187. Metzger, M.J.: Effects of site, vendor, and consumer characteristics on web site trust and disclosure. Commun. Res. 33(3), 155–179 (2006). https://doi.org/10.1177/0093650206287076

    Article  Google Scholar 

  188. Metzger, M.J.: Communication privacy management in electronic commerce. J. Comput.-Mediat. Commun. 12(2), 335–361 (2007). https://doi.org/10.1111/j.1083-6101.2007.00328.x

    Article  Google Scholar 

  189. Meyers, J.: How to Remove Your Name and Profile Picture from Facebook’s Social Ads (2011). http://internet.wonderhowto.com/how-to/remove-your-name-and-profile-picture-from-facebooks-social-ads-0126187/

  190. Mikians, J., Gyarmati, L., Erramilli, V., Laoutaris, N.: Detecting price and search discrimination on the internet. In: Proceedings of the 11th ACM Workshop on Hot Topics in Networks, HotNets-XI, pp. 79–84. ACM, Redmond (2012). https://doi.org/10.1145/2390231.2390245

  191. Mikians, J., Gyarmati, L., Erramilli, V., Laoutaris, N.: Crowd-assisted search for price discrimination in e-commerce: first results. In: Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies, CoNEXT 2013, pp. 1–6. ACM, Santa Barbara (2013). https://doi.org/10.1145/2535372.2535415

  192. Milberg, S.J., Burke, S.J., Smith, H.J., Kallman, E.A.: Values, personal information, privacy and regulatory approaches. Commun. ACM 38(12), 65–74 (1995). https://doi.org/10.1145/219663.219683

    Article  Google Scholar 

  193. Milne, G.R.: Consumer participation in mailing lists: a field experiment. J. Public Policy Mark. 16(2), 298–309 (1997)

    Google Scholar 

  194. Milne, G.R., Gordon, M.E.: Direct mail privacy-efficiency trade-offs within an implied social contract framework. J. Public Policy Mark. 12(2), 206–215 (1993). https://doi.org/10.2307/30000091

    Article  Google Scholar 

  195. Mirzadeh, N., Ricci, F., Bansal, M.: Feature selection methods for conversational recommender systems. In: Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE 2005, Hong Kong, China, pp. 772–777 (2005). https://doi.org/10.1109/EEE.2005.75

  196. Moult, J.: Woman sacked on Facebook for complaining about her boss after forgetting she had added him as a friend (2009). http://www.dailymail.co.uk/news/article-1206491/Woman-sacked-Facebook-boss-insult-forgetting-added-friend.html

  197. Mulligan, D., Schwartz, A.: Your place or mine?: privacy concerns and solutions for server and client-side storage of personal information. In: Tenth Conference on Computers, Freedom and Privacy, Toronto, Ontario, pp. 81–84 (2000). https://doi.org/10.1145/332186.332255

  198. Narayanan, A., Shmatikov, V.: Robust de-anonymization of large sparse datasets. In: 2008 IEEE Symposium on Security and Privacy, pp. 111–125. IEEE (2008). https://doi.org/10.1109/SP.2008.33

  199. Navarro Bullock, B., Hotho, A., Stumme, G.: Accessing information with tags: search and ranking. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 310–343. Springer, Cham (2018)

    Google Scholar 

  200. Newman, A.L.: What the “right to be forgotten” means for privacy in a digital age. Science 347(6221), 507–508 (2015). https://doi.org/10.1126/science.aaa4603

    Article  Google Scholar 

  201. Nissenbaum, H.: Privacy as contextual integrity. Wash. Law Rev. 79, 119–157 (2004)

    Google Scholar 

  202. Nissenbaum, H.: Privacy in Context: Technology, Policy, and the Integrity of Social Life. Stanford University Press, Stanford (2009)

    Google Scholar 

  203. Norberg, P.A., Horne, D.R., Horne, D.A.: The privacy paradox: personal information disclosure intentions versus behaviors. J. Consum. Aff. 41(1), 100–126 (2007). https://doi.org/10.1111/j.1745-6606.2006.00070.x

    Article  Google Scholar 

  204. Norcie, G., Blythe, J., Caine, K., Camp, L.J.: Why Johnny can’t blow the whistle: identifying and reducing usability issues in anonymity systems. In: NDSS 2014 Workshop on Usable Security, USEC 2014. Internet Society, San Diego (2014). https://doi.org/10.14722/usec.2014.23022

  205. Oh, J.M., Moon, N.: User-selectable interactive recommendation system in mobile environment. Multimedia Tools Appl. 57(2), 295–313 (2012). https://doi.org/10.1007/s11042-011-0737-x

    Article  Google Scholar 

  206. Oh, S.: Social Q&A. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 75–107. Springer, Cham (2018)

    Google Scholar 

  207. Olivero, N., Lunt, P.: Privacy versus willingness to disclose in e-commerce exchanges: the effect of risk awareness on the relative role of trust and control. J. Econ. Psychol. 25(2), 243–262 (2004). https://doi.org/10.1016/S0167-4870(02)00172-1

    Article  Google Scholar 

  208. Olson, J.S., Grudin, J., Horvitz, E.: A study of preferences for sharing and privacy. In: CHI 2005 Extended Abstracts, pp. 1985–1988. ACM, Portland (2005). https://doi.org/10.1145/1056808.1057073

  209. O’Mahoney, M., Smyth, B.: From opinions to recommendations. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 480–509. Springer, Cham (2018)

    Google Scholar 

  210. Orwell, G.: Nineteen Eighty-Four. A Novel. Secker & Warburg, London (1949)

    Google Scholar 

  211. Page, X., Knijnenburg, B.P., Kobsa, A.: FYI: communication style preferences underlie differences in location-sharing adoption and usage. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2013, pp. 153–162. ACM, Zurich (2013). https://doi.org/10.1145/2493432.2493487

  212. Page, X., Knijnenburg, B.P., Kobsa, A.: What a tangled web we weave: lying backfires in location-sharing social media. In: Proceedings of the 2013 Conference on Computer Supported Cooperative Work, CSCW 2013, pp. 273–284. ACM, San Antonio (2013). https://doi.org/10.1145/2441776.2441808

  213. Page, X., Kobsa, A., Knijnenburg, B.P.: Don’t disturb my circles! boundary preservation is at the center of location-sharing concerns. In: Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, ICWSM 2012, pp. 266–273. AAAI Publications, Dublin (2012)

    Google Scholar 

  214. Page, X., Tang, K., Stutzman, F., Lampinen, A.: Measuring networked social privacy. In: Proceedings of the 2013 Conference on Computer Supported Cooperative Work Companion, CSCW 2013, pp. 315–320. ACM, San Antonio (2013). https://doi.org/10.1145/2441955.2442032

  215. Page, X.W.: Factors that influence adoption and use of location-sharing social media. Ph.D. thesis, University of California, Irvine, Irvine, CA (2014). http://gradworks.umi.com/36/06/3606987.html

  216. Pallapa, G., Das, S.K., Di Francesco, M., Aura, T.: Adaptive and context-aware privacy preservation exploiting user interactions in smart environments. Pervasive Mob. Comput. 12, 232–243 (2014). https://doi.org/10.1016/j.pmcj.2013.12.004

    Article  Google Scholar 

  217. Pariser, E.: The Filter Bubble: How the New Personalized Web is Changing What We Read and How We Think. Penguin Books, New York (2012)

    Book  Google Scholar 

  218. Park, C.W., Jun, S.Y., MacInnis, D.J.: Choosing what I want versus rejecting what I do not want: an application of decision framing to product option choice decisions. J. Mark. Res. 37(2), 187–202 (2000). https://doi.org/10.1509/jmkr.37.2.187.18731

    Article  Google Scholar 

  219. Patil, S., Lai, J.: Who gets to know what when: configuring privacy permissions in an awareness application. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2005, pp. 101–110. ACM, Portland (2005). https://doi.org/10.1145/1054972.1054987

  220. Patil, S., Norcie, G., Kapadia, A., Lee, A.J.: Reasons, rewards, regrets: privacy considerations in location sharing as an interactive practice. In: Proceedings of the Eighth Symposium on Usable Privacy and Security, SOUPS 2012, pp. 5:1–5:15. ACM, Washington, DC (2012). https://doi.org/10.1145/2335356.2335363

  221. Patil, S., Page, X., Kobsa, A.: With a little help from my friends: can social navigation inform interpersonal privacy preferences? In: Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, CSCW 2011, pp. 391–394. ACM, Hangzhou (2011). https://doi.org/10.1145/1958824.1958885

  222. Pavlou, P.A.: Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. Int. J. Electron. Commer. 7(3), 101–134 (2003)

    Google Scholar 

  223. Pavlou, P.A.: State of the information privacy literature: where are we now and where should we go. MIS Q. 35(4), 977–988 (2011)

    Article  Google Scholar 

  224. Pedersen, D.M.: Psychological functions of privacy. J. Environ. Psychol. 17(2), 147–156 (1997). https://doi.org/10.1006/jevp.1997.0049

    Article  Google Scholar 

  225. Perlow, J.: New in labs: stop sending mail you later regret (2008). http://gmailblog.blogspot.com/2008/10/new-in-labs-stop-sending-mail-you-later.html

  226. Petronio, S.: Communication boundary management: a theoretical model of managing disclosure of private information between marital couples. Commun. Theory 1(4), 311–335 (1991). https://doi.org/10.1111/j.1468-2885.1991.tb00023.x

    Article  Google Scholar 

  227. Petronio, S.: Communication privacy management theory: what do we know about family privacy regulation? J. Fam. Theory Rev. 2(3), 175–196 (2010). https://doi.org/10.1111/j.1756-2589.2010.00052.x

    Article  Google Scholar 

  228. Phelps, J., Nowak, G., Ferrell, E.: Privacy concerns and consumer willingness to provide personal information. J. Public Policy Mark. 19(1), 27–41 (2000). https://doi.org/10.1509/jppm.19.1.27.16941

    Article  Google Scholar 

  229. Preibusch, S., Krol, K., Beresford, A.R.: The privacy economics of voluntary over-disclosure in web forms. In: Böhme, R. (ed.) WEIS 2012, pp. 183–203. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39498-0_9

    Chapter  Google Scholar 

  230. Raban, D.R., Danan, A., Ronen, I., Guy, I.: Impression management through people tagging in the enterprise: implications for social media sampling and design. J. Inf. Sci. 43, 295–315 (2016). https://doi.org/10.1177/0165551516636305

    Article  Google Scholar 

  231. Rashid, A.M., Albert, I., Cosley, D., Lam, S.K., McNee, S.M., Konstan, J.A., Riedl, J.: Getting to know you: learning new user preferences in recommender systems. In: Proceedings of the 7th International Conference on Intelligent User Interfaces, IUI 2002, pp. 127–134. ACM, San Francisco (2002). https://doi.org/10.1145/502716.502737

  232. Ravichandran, R., Benisch, M., Kelley, P.G., Sadeh, N.M.: Capturing social networking privacy preferences. In: Goldberg, I., Atallah, M.J. (eds.) PETS 2009. LNCS, vol. 5672, pp. 1–18. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-03168-7_1

    Chapter  Google Scholar 

  233. Razavi, M.N., Iverson, L.: Improving personal privacy in social systems with people-tagging. In: Proceedings of the ACM 2009 International Conference on Supporting Group Work, GROUP 2009, pp. 11–20. ACM, New York (2009). https://doi.org/10.1145/1531674.1531677

  234. Resnick, P., Kuwabara, K., Zeckhauser, R., Friedman, E.: Reputation systems. Commun. ACM 43(12), 45–48 (2000). https://doi.org/10.1145/355112.355122

    Article  Google Scholar 

  235. Riboni, D., Bettini, C.: Private context-aware recommendation of points of interest: an initial investigation. In: Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, pp. 584–589. IEEE Computer Society, Los Alamitos (2012). https://doi.org/10.1109/PerComW.2012.6197582

  236. Richmond, R.: LinkedIn’s Social-Ad Misstep (2011). http://gadgetwise.blogs.nytimes.com/2011/08/17/linkedins-social-ad-misstep/

  237. Riva, G.: The sociocognitive psychology of computer-mediated communication: the present and future of technology-based interactions. CyberPsychol. Behav. 5(6), 581–598 (2002). https://doi.org/10.1089/109493102321018222

    Article  Google Scholar 

  238. Ronson, J.: How One Stupid Tweet Blew Up Justine Sacco’s Life. The New York Times (2015). http://www.nytimes.com/2015/02/15/magazine/how-one-stupid-tweet-ruined-justine-saccos-life.html

  239. Rubinstein, I.S., Good, N.: Privacy by design: a counterfactual analysis of Google and Facebook privacy incidents. Berkeley Technol. Law J. 28, 1333–1414 (2013). https://doi.org/10.15779/Z38G11N

    Article  Google Scholar 

  240. Rust, R.T., Kannan, P.K., Peng, N.: The customer economics of internet privacy. J. Acad. Mark. Sci. 30(4), 455–464 (2002). https://doi.org/10.1177/009207002236917

    Article  Google Scholar 

  241. Sadeh, N., Hong, J., Cranor, L., Fette, I., Kelley, P., Prabaker, M., Rao, J.: Understanding and capturing people’s privacy policies in a mobile social networking application. Pers. Ubiquit. Comput. 13(6), 401–412 (2009). https://doi.org/10.1007/s00779-008-0214-3

    Article  Google Scholar 

  242. Samuelson, W., Zeckhauser, R.: Status quo bias in decision making. J. Risk Uncertain. 1(1), 7–59 (1988). https://doi.org/10.1007/BF00055564

    Article  Google Scholar 

  243. Sawer, P.: Facebook party leads to riots in Dutch town (2012). http://www.telegraph.co.uk/news/worldnews/europe/netherlands/9559868/Facebook-party-leads-to-riots-in-Dutch-town.html

  244. Schafer, J.B., Konstan, J.A., Riedl, J.: E-commerce recommendation applications. Data Min. Knowl. Disc. 5, 115–153 (2001). https://doi.org/10.1023/A:1009804230409

    Article  MATH  Google Scholar 

  245. Schau, H.J., Gilly, M.C.: We are what we post? Self-presentation in personal web space. J. Consum. Res. 30(3), 385–404 (2003). https://doi.org/10.1086/378616

    Article  Google Scholar 

  246. Sheehan, K.B.: Toward a typology of internet users and online privacy concerns. Inf. Soc. 18(1), 21–32 (2002). https://doi.org/10.1080/01972240252818207

    Article  MathSciNet  Google Scholar 

  247. Shelton, M., Lo, K., Nardi, B.: Online media forums as separate social lives: a qualitative study of disclosure within and beyond Reddit. In: iConference 2015 Proceedings, Newport Beach, CA (2015)

    Google Scholar 

  248. Sheng, H., Nah, F.F.H., Siau, K.: An experimental study on ubiquitous commerce adoption: impact of personalization and privacy concerns. J. Assoc. Inf. Syst. 9(6), 344–376 (2008)

    Google Scholar 

  249. Sher, S., McKenzie, C.R.M.: Information leakage from logically equivalent frames. Cognition 101(3), 467–494 (2006). https://doi.org/10.1016/j.cognition.2005.11.001

    Article  Google Scholar 

  250. Shi, P., Xu, H., Erickson, L., Zhang, C.: See friendship: interpersonal privacy management in a collective world. In: AMCIS 2012 Proceedings (2012)

    Google Scholar 

  251. Shklovski, I., Mainwaring, S.D., Skúladóttir, H.H., Borgthorsson, H.: Leakiness and creepiness in app space: perceptions of privacy and mobile app use. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014, pp. 2347–2356. ACM, Toronto (2014). https://doi.org/10.1145/2556288.2557421

  252. Shokri, R., Pedarsani, P., Theodorakopoulos, G., Hubaux, J.P.: Preserving privacy in collaborative filtering through distributed aggregation of offline profiles. In: RecSys, pp. 157–164 (2009)

    Google Scholar 

  253. Simonson, I.: Choice based on reasons: the case of attraction and compromise effects. J. Consum. Res. 16(2), 158–174 (1989)

    Article  Google Scholar 

  254. Singel, R.: Netflix Spilled Your Brokeback Mountain Secret, Lawsuit Claims (2009). http://www.wired.com/2009/12/netflix-privacy-lawsuit

  255. Sleeper, M., Balebako, R., Das, S., McConahy, A.L., Wiese, J., Cranor, L.F.: The post that wasn’t: exploring self-censorship on Facebook. In: Proceedings of the 2013 Conference on Computer Supported Cooperative Work, CSCW 2013, pp. 793–802. ACM, San Antonio (2013). https://doi.org/10.1145/2441776.2441865

  256. Smith, A.: 6 new facts about Facebook (2014)

    Google Scholar 

  257. Smith, C., Kanalley, C.: Fired Over Facebook: 13 Facebook Posts That Got People CANNED (2010). http://www.huffingtonpost.com/2010/07/26/fired-over-facebook-posts_n_659170.html

  258. Smith, H.J., Dinev, T., Xu, H.: Information privacy research: an interdisciplinary review. MIS Q. 35(4), 989–1016 (2011)

    Article  Google Scholar 

  259. Smith, H.J., Milberg, S.J., Burke, S.J.: Information privacy: measuring individuals’ concerns about organizational practices. MIS Q. 20(2), 167–196 (1996). https://doi.org/10.2307/249477

    Article  Google Scholar 

  260. Smith, H.J., Rogers, Y.: Managing one’s social network: does age make a difference? In: Human Computer Interaction - INTERACT 2003, pp. 551–558. IOS Press (2003)

    Google Scholar 

  261. Smith, N.C., Goldstein, D.G., Johnson, E.J.: Choice without awareness: ethical and policy implications of defaults. J. Public Policy Mark. 32(2), 159–172 (2013). https://doi.org/10.1509/jppm.10.114

    Article  Google Scholar 

  262. Solove, D.J.: The Digital Person: Technology and Privacy in the Information Age. New York University Press, New York (2004)

    Google Scholar 

  263. Solove, D.J.: A taxonomy of privacy. Univ. Pa. Law Rev. 154(3), 477–564 (2006). https://doi.org/10.2307/40041279

    Article  Google Scholar 

  264. Solove, D.J.: Understanding Privacy. Harvard University Press, Cambridge (2008)

    Google Scholar 

  265. Solove, D.J.: Privacy self-management and the consent dilemma. Harv. Law Rev. 126, 1880–1903 (2013)

    Google Scholar 

  266. Spiekermann, S.: User Control in Ubiquitous Computing: Design Alternatives and User Acceptance. Shaker Verlag, Aachen (2008)

    Google Scholar 

  267. Spiekermann, S., Grossklags, J., Berendt, B.: E-privacy in 2nd generation e-commerce: privacy preferences versus actual behavior. In: Proceedings of the 3rd ACM Conference on Electronic Commerce, Tampa, FL, pp. 38–47 (2001). https://doi.org/10.1145/501158.501163

  268. Stilgherrian: Why big data evangelists need to be reprogrammed (2014). http://www.zdnet.com/article/why-big-data-evangelists-need-to-be-reprogrammed/

  269. Stone, D.L.: The effects of the valence of outcomes for providing data and the perceived relevance of the data requested on privacy-related behaviors, beliefs, and attitudes. Ph.D. thesis, Purdue University (1981)

    Google Scholar 

  270. Strater, K., Lipford, H.R.: Strategies and struggles with privacy in an online social networking community. In: Proceedings of the 22nd British HCI Group Annual Conference on People and Computers, BCS-HCI 2008, pp. 111–119. British Computer Society, Swinton (2008)

    Google Scholar 

  271. Stutzman, F., Kramer-Duffield, J.: Friends only: examining a privacy-enhancing behavior in Facebook. In: Proceedings of the 28th International Conference on Human Factors in Computing Systems, CHI 2010, pp. 1553–1562. ACM, Atlanta (2010). https://doi.org/10.1145/1753326.1753559

  272. Suler, J.: The online disinhibition effect. CyberPsychol. Behav. 7(3), 321–326 (2004). https://doi.org/10.1089/1094931041291295

    Article  Google Scholar 

  273. Sunstein, C.R., Thaler, R.H.: Libertarian paternalism is not an oxymoron. Univ. Chicago Law Rev. 70(4), 1159–1202 (2003). https://doi.org/10.2307/1600573

    Article  Google Scholar 

  274. Sutanto, J., Palme, E., Tan, C.H., Phang, C.W.: Addressing the personalization-privacy paradox: an empirical assessment from a field experiment on smartphone users. MIS Q. 37(4), 1141–1164 (2013)

    Article  Google Scholar 

  275. Tang, K., Hong, J., Siewiorek, D.: The implications of offering more disclosure choices for social location sharing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2012, pp. 391–394. ACM, Austin (2012). https://doi.org/10.1145/2207676.2207730

  276. Tang, K., Lin, J., Hong, J., Siewiorek, D., Sadeh, N.: Rethinking location sharing: exploring the implications of social-driven vs. purpose-driven location sharing. In: Proceedings of the 12th ACM International Conference Adjunct Papers on Ubiquitous Computing, UbiComp 2010, pp. 85–94. ACM, Copenhagen (2010). https://doi.org/10.1145/1864349.1864363

  277. Taylor, C.: Twitter Turns Ugly Over PR Person’s Idiotic Tweet (2013). http://mashable.com/2013/12/20/justine-sacco/

  278. Taylor, D., Davis, D., Jillapalli, R.: Privacy concern and online personalization: the moderating effects of information control and compensation. Electron. Commer. Res. 9(3), 203–223 (2009). https://doi.org/10.1007/s10660-009-9036-2

    Article  Google Scholar 

  279. Taylor, H.: Most people are “Privacy Pragmatists” who, while concerned about privacy, will sometimes trade it off for other benefits. Technical report 17, Harris Interactive, Inc. (2003)

    Google Scholar 

  280. Teltzrow, M., Kobsa, A.: Impacts of user privacy preferences on personalized systems: a comparative study. In: Karat, C.M., Blom, J., Karat, J. (eds.) Designing Personalized User Experiences for eCommerce, pp. 315–332. Kluwer Academic Publishers, Dordrecht (2004). https://doi.org/10.1007/1-4020-2148-8_17

    Chapter  Google Scholar 

  281. Tene, O., Polonetsky, J.: Big data for all: privacy and user control in the age of analytics. Northwest. J. Technol. Intellect. Prop. 11(5), 239–272 (2012)

    Google Scholar 

  282. Tene, O., Polonetsky, J.: A theory of creepy: technology, privacy and shifting social norms. Yale J. Law Technol. 16, 59–102 (2013)

    Google Scholar 

  283. Thaler, R.H., Sunstein, C.: Nudge: Improving Decisions About Health, Wealth, and Happiness. Yale University Press, New Haven, London (2008)

    Google Scholar 

  284. Tintarev, N., Masthoff, J.: Evaluating the effectiveness of explanations for recommender systems. User Model. User-Adap. Interact. 22(4–5), 399–439 (2012). https://doi.org/10.1007/s11257-011-9117-5

    Article  Google Scholar 

  285. Tippmann, S., Powles, J.: Google accidentally reveals data on ‘right to be forgotten’ requests. The Guardian (2015). http://www.theguardian.com/technology/2015/jul/14/google-accidentally-reveals-right-to-be-forgotten-requests

  286. Toch, E., Cranshaw, J., Drielsma, P.H., Tsai, J.Y., Kelley, P.G., Springfield, J., Cranor, L., Hong, J., Sadeh, N.: Empirical models of privacy in location sharing. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing, UbiComp 2010, pp. 129–138. ACM, Copenhagen (2010). https://doi.org/10.1145/1864349.1864364

  287. Treiblmaier, H., Pollach, I.: Users’ perceptions of benefits and costs of personalization. In: ICIS 2007 Proceedings (2007)

    Google Scholar 

  288. Tsai, J.Y., Kelley, P., Drielsma, P., Cranor, L.F., Hong, J., Sadeh, N.: Who’s viewed you?: the impact of feedback in a mobile location-sharing application. In: Proceedings of the 27th International Conference on Human Factors in Computing Systems, CHI 2009, pp. 2003–2012. ACM, Boston (2009). https://doi.org/10.1145/1518701.1519005

  289. Tufekci, Z.: Can you see me now? Audience and disclosure regulation in online social network sites. Bull. Sci. Technol. Soc. 28(1), 20–36 (2008). https://doi.org/10.1177/0270467607311484

    Article  Google Scholar 

  290. Turner, M.A., Varghese, R.: Making sense of the privacy debate: a comparative analysis of leading consumer privacy surveys. Technical report, Privacy & American Business (2002)

    Google Scholar 

  291. Tversky, A.: Elimination by aspects: a theory of choice. Psychol. Rev. 79(4), 281–299 (1972). https://doi.org/10.1037/h0032955

    Article  Google Scholar 

  292. Tynan, D.: Facebook ads use your face for free (2011). http://www.itworld.com/article/2746556/networking-hardware/facebook-ads-use-your-face-for-free.html

  293. Vallet, D., Friedman, A., Berkovsky, S.: Matrix factorization without user data retention. In: Tseng, V.S., Ho, T.B., Zhou, Z.-H., Chen, A.L.P., Kao, H.-Y. (eds.) PAKDD 2014. LNCS (LNAI), vol. 8443, pp. 569–580. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06608-0_47

    Chapter  Google Scholar 

  294. Vickery, J.R.: The curious case of Confession Bear: the reappropriation of online macro-image memes. Inf. Commun. Soc. 17(3), 301–325 (2014). https://doi.org/10.1080/1369118X.2013.871056

    Article  Google Scholar 

  295. Vig, J., Sen, S., Riedl, J.: Tagsplanations: explaining recommendations using tags. In: Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI 2009, pp. 47–56. ACM, Sanibel Island (2009). https://doi.org/10.1145/1502650.1502661

  296. Vitak, J., Blasiola, S., Litt, E., Patil, S.: Balancing audience and privacy tensions on social network sites: strategies of highly engaged users. Int. J. Commun. 9, 1485–1504 (2015)

    Google Scholar 

  297. Walther, J.B., Parks, M.R.: Cues filtered out, cues filtered in. In: Knapp, M.L., Daly, J.A. (eds.) Handbook of Interpersonal Communication, 4th edn, pp. 529–563. SAGE Publications Inc., Thousand Oaks (2002)

    Google Scholar 

  298. Wang, N., Grossklags, J., Xu, H.: An online experiment of privacy authorization dialogues for social applications. In: Proceedings of the 2013 Conference on Computer Supported Cooperative Work, CSCW 2013, pp. 261–272. ACM, San Antonio (2013). https://doi.org/10.1145/2441776.2441807

  299. Wang, W., Benbasat, I.: Recommendation agents for electronic commerce: effects of explanation facilities on trusting beliefs. J. Manag. Inf. Syst. 23(4), 217–246 (2007). https://doi.org/10.2753/MIS0742-1222230410

    Article  Google Scholar 

  300. Wang, Y., Leon, P.G., Acquisti, A., Cranor, L.F., Forget, A., Sadeh, N.: A field trial of privacy nudges for Facebook. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014, pp. 2367–2376. ACM, Toronto (2014). https://doi.org/10.1145/2556288.2557413

  301. Wang, Y., Leon, P.G., Scott, K., Chen, X., Acquisti, A., Cranor, L.F.: Privacy nudges for social media: an exploratory Facebook study. In: Second International Workshop on Privacy and Security in Online Social Media, PSOSM 2013, Rio De Janeiro, Brazil, pp. 763–770 (2013)

    Google Scholar 

  302. Wang, Y., Norcie, G., Komanduri, S., Acquisti, A., Leon, P.G., Cranor, L.F.: “I regretted the minute I pressed share”: a qualitative study of regrets on Facebook. In: Proceedings of the Seventh Symposium on Usable Privacy and Security, pp. 10:1–10:16. ACM, Pittsburgh (2011). https://doi.org/10.1145/2078827.2078841

  303. Watson, J., Besmer, A., Lipford, H.R.: +Your circles: sharing behavior on Google+. In: Proceedings of the 8th Symposium on Usable Privacy and Security, SOUPS 2012, pp. 12:1–12:10. ACM, Pittsburgh (2012). https://doi.org/10.1145/2335356.2335373

  304. Westin, A.F., Harris (Louis) and Associates, Inc.: The Dimensions of Privacy: A National Opinion Research Survey of Attitudes Toward Privacy. Garland Publishing, New York (1981)

    Google Scholar 

  305. Westin, A.F., Maurici, D.: E-commerce & privacy: what the net users want. Technical report, Privacy & American Business, and PricewaterhouseCoopers LLP (1998). http://www.pwcglobal.com/gx/eng/svcs/privacy/images/E-Commerce.pdf

  306. Wikipedia: Facebook real-name policy controversy. https://en.wikipedia.org/w/index.php?title=Facebook_real-name_policy_controversy

  307. Wilkinson, D., Sivakumar, S., Cherry, D., Knijnenburg, B.P., Raybourn, E.M., Wisniewski, P., Sloan, H.: User-tailored privacy by design. In: Submitted to USEC 2017 (2017)

    Google Scholar 

  308. Wilson, D., Proudfoot, J., Valacich, J.: Saving face on Facebook: privacy concerns, social benefits, and impression management. In: ICIS 2014 Proceedings (2014)

    Google Scholar 

  309. Wisniewski, P., Islam, A.N., Knijnenburg, B.P., Patil, S.: Give social network users the privacy they want. In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, CSCW 2015, pp. 1427–1441. ACM, Vancouver (2015). https://doi.org/10.1145/2675133.2675256

  310. Wisniewski, P., Knijnenburg, B.P., Richter Lipford, H.: Profiling Facebook users’ privacy behaviors. In: SOUPS2014 Workshop on Privacy Personas and Segmentation, PPS 2014, Menlo Park, CA (2014)

    Google Scholar 

  311. Wisniewski, P., Lipford, H., Wilson, D.: Fighting for my space: coping mechanisms for SNS boundary regulation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2012, pp. 609–618. ACM, Austin (2012). https://doi.org/10.1145/2207676.2207761

  312. Wisniewski, P., Xu, H., Chen, Y.: Understanding user adaptation strategies for the launching of Facebook timeline. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2014, pp. 2421–2430. ACM, Toronto (2014). https://doi.org/10.1145/2556288.2557363

  313. Wisniewski, P.J., Knijnenburg, B.P., Lipford, H.R.: Making privacy personal: profiling social network users to inform privacy education and nudging. Int. J. Hum.-Comput. Stud. 98, 95–108 (2017). https://doi.org/10.1016/j.ijhcs.2016.09.006

    Article  Google Scholar 

  314. Woong Yun, G., Park, S.Y.: Selective posting: willingness to post a message online. J. Comput.-Mediat. Commun. 16(2), 201–227 (2011). https://doi.org/10.1111/j.1083-6101.2010.01533.x

    Article  Google Scholar 

  315. Wyer, R.S., Budesheim, T.L.: Person memory and judgments: the impact of information that one is told to disregard. J. Pers. Soc. Psychol. 53(1), 14–29 (1987). https://doi.org/10.1037/0022-3514.53.1.14

    Article  Google Scholar 

  316. Xie, J., Knijnenburg, B.P., Jin, H.: Location sharing privacy preference: analysis and personalized recommendation. In: Proceedings of the 19th International Conference on Intelligent User Interfaces, IUI 2014, pp. 189–198. ACM, Haifa (2014). https://doi.org/10.1145/2557500.2557504

  317. Xu, H., Luo, X.R., Carroll, J.M., Rosson, M.B.: The personalization privacy paradox: an exploratory study of decision making process for location-aware marketing. Decis. Support Syst. 51(1), 42–52 (2011). https://doi.org/10.1016/j.dss.2010.11.017

    Article  Google Scholar 

  318. Xu, H., Teo, H.H., Tan, B.C.Y., Agarwal, R.: The role of push-pull technology in privacy calculus: the case of location-based services. J. Manag. Inf. Syst. 26(3), 135–174 (2009). https://doi.org/10.2753/MIS0742-1222260305

    Article  Google Scholar 

  319. Xu, H., Wang, N., Grossklags, J.: Privacy-by-redesign: alleviating privacy concerns for third-party applications. In: ICIS 2012 Proceedings, Orlando, FL (2012)

    Google Scholar 

  320. Yang, J., Morris, M.R., Teevan, J., Adamic, L.A., Ackerman, M.S.: Culture matters: a survey study of social Q&A behavior. In: Fifth International AAAI Conference on Weblogs and Social Media, ICWSM 2011, pp. 409–416. AAAI Publications (2011)

    Google Scholar 

  321. Yang, S.C., Hung, W.C., Sung, K., Farn, C.K.: Investigating initial trust toward e-tailers from the elaboration likelihood model perspective. Psychol. Mark. 23(5), 429–445 (2006). https://doi.org/10.1002/mar.20120

    Article  Google Scholar 

  322. Young, A.L., Quan-Haase, A.: Information revelation and internet privacy concerns on social network sites: a case study of Facebook. In: Proceedings of the Fourth International Conference on Communities and Technologies, pp. 265–274. ACM, University Park (2009). https://doi.org/10.1145/1556460.1556499

  323. Yue, Z., He, D.: Collaborative search. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 108–141. Springer, Cham (2018)

    Google Scholar 

  324. Zaslow, J.: If TiVo Thinks You Are Gay, Here’s How to Set It Straight (2002). http://www.wsj.com/articles/SB1038261936872356908

  325. Zhang, B., Wang, N., Jin, H.: Privacy concerns in online recommender systems: influences of control and user data input. In: Symposium on Usable Privacy and Security, SOUPS 2014, Menlo Park, CA, pp. 159–173 (2014)

    Google Scholar 

  326. Zheng, V.W., Zheng, Y., Xie, X., Yang, Q.: Towards mobile intelligence: learning from GPS history data for collaborative recommendation. Artif. Intell. 184–185, 17–37 (2012). https://doi.org/10.1016/j.artint.2012.02.002

    Article  MathSciNet  Google Scholar 

  327. Zhong, L.: My pins are my dreams: pinterest, collective daydreams, and the aspirational gap. M.S. thesis, Massachusetts Institute of Technology (2014)

    Google Scholar 

  328. Zhou, B., Pei, J.: Preserving privacy in social networks against neighborhood attacks. In: 2008 IEEE 24th International Conference on Data Engineering, pp. 506–515 (2008). https://doi.org/10.1109/ICDE.2008.4497459

  329. Zhou, T.: Understanding users’ initial trust in mobile banking: an elaboration likelihood perspective. Comput. Hum. Behav. 28(4), 1518–1525 (2012). https://doi.org/10.1016/j.chb.2012.03.021

    Article  Google Scholar 

  330. Zhu, T., Ren, Y., Zhou, W., Rong, J., Xiong, P.: An effective privacy preserving algorithm for neighborhood-based collaborative filtering. Future Gener. Comput. Syst. 36, 142–155 (2014). https://doi.org/10.1016/j.future.2013.07.019

    Article  Google Scholar 

  331. Zimmer, M.: OkCupid Study Reveals the Perils of Big-Data Science (2016). https://www.wired.com/2016/05/okcupid-study-reveals-perils-big-data-science/

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    Bart P. Knijnenburg

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Knijnenburg, B.P. (2018). Privacy in Social Information Access. In: Brusilovsky, P., He, D. (eds) Social Information Access. Lecture Notes in Computer Science(), vol 10100. Springer, Cham. https://doi.org/10.1007/978-3-319-90092-6_2

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