The Future of Dataveillance in Advertising Theory and Practice

References

• Acquisti, A., Brandimarte, L., and Loewenstein, G. 2015. “Privacy and Human Behavior in the Age of Information.” Science, 347 (6221):509–14. doi:10.1126/science.aaa1465
   Google Scholar
• Acquisti, A., L. K. John, and G. Loewenstein. 2013. “What Is Privacy Worth?” The Journal of Legal Studies 42 (2):249–74. doi:10.1086/671754
   Web of Science ®Google Scholar
• Aguirre, E., D. Mahr, D. Grewal, K. De Ruyter, and M. Wetzels. 2015. “Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness.” Journal of Retailing 91 (1):34–49. doi:10.1016/j.jretai.2014.09.005
   Web of Science ®Google Scholar
• Ahluwalia, R., H. R. Unnava, and R. E. Burnkrant. 2001. “The Moderating Role of Commitment on the Spillover Effect of Marketing Communications.” Journal of Marketing Research 38 (4):458–70. doi:10.1509/2Fjmkr.38.4.458.18903
   Web of Science ®Google Scholar
• Andrejevic, M. 2006. “The Discipline of Watching: Detection, Risk, and Lateral Surveillance.” Critical Studies in Media Communication 23 (5):391–407. doi:10.1080/07393180601046147
   Web of Science ®Google Scholar
• Araujo, T., J. Ausloos, W. van Atteveldt, F. Loecherbach, J. Moeller, J. Ohme, D. Trilling, B. van de Velde, C. de Vreese, and K. Welbers. 2021. OSD2F: An Open-Source Data Donation Framework. SocArXiv. doi:10.31235/osf.io/xjk6t
   Google Scholar
• Baek, T. H., and M. Morimoto. 2012. “Stay Away from Me.” Journal of Advertising 41 (1):59–76. doi:10.2753/JOA0091-3367410105
   Web of Science ®Google Scholar
• Baruh, L., E. Secinti, and Z. Cemalcilar. 2017. “Online Privacy Concerns and Privacy Management: A Meta-Analytical Review.” Journal of Communication 67 (1):26–53. doi:10.1111/jcom.12276
   Web of Science ®Google Scholar
• Bleier, A., and M. Eisenbeiss. 2015. “The Importance of Trust for Personalized Online Advertising.” Journal of Retailing 91 (3):390–409. doi:10.1016/j.jretai.2015.04.001
   Web of Science ®Google Scholar
• Boerman, S. C., S. Kruikemeier, and F. J. Zuiderveen Borgesius. 2017. “Online Behavioral Advertising: A Literature Review and Research Agenda.” Journal of Advertising 46 (3):363–76. doi:10.1080/00913367.2017.1339368
   Web of Science ®Google Scholar
• Boerman, S. C., S. Kruikemeier, and F. J. Zuiderveen Borgesius. 2021. “Exploring Motivations for Online Privacy Protection Behavior: Insights from Panel Data.” Communication Research 48 (7):953–77. doi:10.1177/2F0093650218800915
   Web of Science ®Google Scholar
• Boerman, S. C., and C. M. Segijn. 2022. “Awareness and Perceived Appropriateness of Synced Advertising in Dutch Adults.” Journal of Interactive Advertising 22 (2):187–94. doi:10.1080/15252019.2022.2046216
   Google Scholar
• Boerman, S. C., L. M. Willemsen, and E. P. Van Der Aa. 2017. ““This Post Is Sponsored”: Effects of Sponsorship Disclosure on Persuasion Knowledge and Electronic Word of Mouth in the Context of Facebook.” Journal of Interactive Marketing 38:82–92. doi:10.1016/j.intmar.2016.12.002
   Web of Science ®Google Scholar
• Bol, N., T. Dienlin, S. Kruikemeier, M. Sax, S. C. Boerman, J. Strycharz, N. Helberger, and C. H. de Vreese. 2018. “Understanding the Effects of Personalization as a Privacy Calculus: Analyzing Self-Disclosure across Health, News, and Commerce Contexts.” Journal of Computer-Mediated Communication 23 (6):370–88. doi:10.1093/jcmc/zmy020
   Web of Science ®Google Scholar
• Brandimarte, L., A. Acquisti, and G. Loewenstein. 2013. “Misplaced Confidences: Privacy and the Control Paradox.” Social Psychological and Personality Science 4 (3):340–7. doi:10.1177/2F1948550612455931
   Web of Science ®Google Scholar
• Brehm, S. S., and J. W. Brehm. 1981. Psychological Reactance: A Theorv Offreedom and Control. San Diego. CA: Academic Press
   Google Scholar
• Bruder, M., P. Haffke, N. Neave, N. Nouripanah, and R. Imhoff. 2013. “Measuring Individual Differences in Generic Beliefs in Conspiracy Theories across Cultures: Conspiracy Mentality Questionnaire.” Frontiers in Psychology 4:225. doi:10.3389/fpsyg.2013.00225.
   PubMed Web of Science ®Google Scholar
• Büchi, M., N. Festic, and M. Latzer. 2022. “The Chilling Effects of Digital Dataveillance: A Theoretical Model and an Empirical Research Agenda.” Big Data & Society 9 (1):205395172110653. doi:10.1177/2F20539517211065368
   Web of Science ®Google Scholar
• Büchi, M., E. Fosch-Villaronga, C. Lutz, A. Tamò-Larrieux, and S. Velidi. 2021. “Making Sense of Algorithmic Profiling: user Perceptions on Facebook.” Information, Communication & Society, 1–17. doi:10.1080/1369118X.2021.1989011
   Web of Science ®Google Scholar
• Campbell, J. E., and M. Carlson. 2002. “Panopticon.com: Online Surveillance and the Commodification of Privacy.” Journal of Broadcasting & Electronic Media 46 (4):586–606. doi:10.1207/s15506878jobem4604_6
   Web of Science ®Google Scholar
• Choi, H., J. Park, and Y. Jung. 2018. “The Role of Privacy Fatigue in Online Privacy Behavior.” Computers in Human Behavior 81:42–51. doi:10.1016/j.chb.2017.12.001
   Web of Science ®Google Scholar
• Christl, W. 2017. Corporate Surveillance in Everyday Life. How Companies Collect, Combine, Analyze, Trade, and Use Personal Data on Billions. Vienna: Cracked Labs.
   Google Scholar
• Dahlen, M., and S. Rosengren. 2016. “If Advertising Won't Die, What Will It Be? Toward a Working Definition of Advertising.” Journal of Advertising 45 (3):334–45. doi:10.1080/00913367.2016.1172387
   Web of Science ®Google Scholar
• Davis, F. D., R. P. Bagozzi, and P. R. Warshaw. 1989. “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models.” Management Science 35 (8):982–1003. doi:10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• De Cock Bunning, M. 2018. “A Multi-Dimensional Approach to Disinformation: Report of the Independent High Level Group on Fake News and Online Disinformation.” Luxembourg: Publications Office of the European Union, 2018. Retrieved from Cadmus, European University Institute Research Repository, at: https://hdl.handle.net/1814/70297.
   Google Scholar
• Dedehayir, O., and M. Steinert. 2016. “The Hype Cycle Model: A Review and Future Directions.” Technological Forecasting and Social Change 108:28–41. doi:10.1016/j.techfore.2016.04.005
   Web of Science ®Google Scholar
• Degeling, M., C. Utz, C. Lentzsch, H. Hosseini, F. Schaub, T. Holz. 2019. “We Value Your Privacy … Now Take Some Cookies: Measuring the GDPR’s Impact on Web Privacy.” In NDSS 2019. doi:10.14722/ndss.2019.23xxx
   Google Scholar
• Degli-Esposti, S. 2014. “When Big Data Meets Dataveillance: The Hidden Side of Analytics.” Surveillance & Society 12 (2):209–25. doi:10.24908/ss.v12i2.5113
   Google Scholar
• De Keyzer, F., N. Dens, and P. De Pelsmacker. 2015. “Is This for Me? How Consumers Respond to Personalized Advertising on Social Network Sites.” Journal of Interactive Advertising 15 (2):124–34. doi:10.1080/15252019.2015.1082450
   Google Scholar
• DeVito, M. A., D. Gergle, and J. Birnholtz. 2017, May. ““Algorithms Ruin Everything" # RIPTwitter, Folk Theories, and Resistance to Algorithmic Change in Social Media.” In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 3163–3174).
   Google Scholar
• Dinev, T., and P. Hart. 2006. “An Extended Privacy Calculus Model for e-Commerce Transactions.” Information Systems Research 17 (1):61–80. doi:10.1287/isre.1060.0080
   Web of Science ®Google Scholar
• Duffy, B. E., and N. K. Chan. 2019. ““You Never Really Know Who’s Looking”: Imagined Surveillance across Social Media Platforms.” New Media & Society 21 (1):119–38. doi:10.1177/2F1461444818791318
   Web of Science ®Google Scholar
• Farman, L., M. L. Comello, and J. R. Edwards. 2020. “Are Consumers Put off by Retargeted Ads on Social Media? Evidence for Perceptions of Marketing Surveillance and Decreased Ad Effectiveness.” Journal of Broadcasting & Electronic Media 64 (2):298–319. doi:10.1080/08838151.2020.1767292
   Web of Science ®Google Scholar
• Fransen, M. L., P. W. Verlegh, A. Kirmani, and E. G. Smit. 2015. “A Typology of Consumer Strategies for Resisting Advertising, and a Review of Mechanisms for Countering Them.” International Journal of Advertising 34 (1):6–16. doi:10.1080/02650487.2014.995284
   Web of Science ®Google Scholar
• Frick, N. R., K. L. Wilms, F. Brachten, T. Hetjens, S. Stieglitz, and B. Ross. 2021. “The Perceived Surveillance of Conversations through Smart Devices.” Electronic Commerce Research and Applications 47:101046. doi:10.1016/j.elerap.2021.101046
   Web of Science ®Google Scholar
• Friestad, M., and P. Wright. 1994. “The Persuasion Knowledge Model: How People Cope with Persuasion Attempts.” Journal of Consumer Research 21 (1):1–31. doi:10.1086/209380
   Web of Science ®Google Scholar
• Gelman, S. A., and C. H. Legare. 2011. “Concepts and Folk Theories.” Annual Review of Anthropology 40:379–98. doi:10.1146/annurev-anthro-081309-145822
   PubMed Web of Science ®Google Scholar
• Ham, C. D. 2017. “Exploring How Consumers Cope with Online Behavioral Advertising.” International Journal of Advertising 36 (4):632–58. doi:10.1080/02650487.2016.1239878
   Web of Science ®Google Scholar
• Ham, C. D., and M. R. Nelson. 2016. “The Role of Persuasion Knowledge, Assessment of Benefit and Harm, and Third-Person Perception in Coping with Online Behavioral Advertising.” Computers in Human Behavior 62:689–702. doi:10.1016/j.chb.2016.03.076
   Web of Science ®Google Scholar
• Helberger, N., J. Huh, G. Milne, J. Strycharz, and H. Sundaram. 2020. “Macro and Exogenous Factors in Computational Advertising: Key Issues and New Research Directions.” Journal of Advertising 49 (4):377–93. doi:10.1080/00913367.2020.1811179
   Web of Science ®Google Scholar
• Hess, N. J., C. M. Kelley, M. L. Scott, M. Mende, and J. H. Schumann. 2020. “Getting Personal in Public!? How Consumers Respond to Public Personalized Advertising in Retail Stores.” Journal of Retailing 96 (3):344–61. doi:10.1016/j.jretai.2019.11.005
   Web of Science ®Google Scholar
• Hovland, C. I., and W. Weiss. 1951. “The Influence of Source Credibility on Communication Effectiveness.” Public Opinion Quarterly 15 (4):635–50. doi:10.1086/266350
   Web of Science ®Google Scholar
• Hudders, L., P. De Pauw, V. Cauberghe, K. Panic, B. Zarouali, and E. Rozendaal. 2017. “Shedding New Light on How Advertising Literacy Can Affect Children's Processing of Embedded Advertising Formats: A Future Research Agenda.” Journal of Advertising 46 (2):333–49. doi:10.1080/00913367.2016.1269303
   Web of Science ®Google Scholar
• Huh, J., and E. C. Malthouse. 2020. “Advancing Computational Advertising: Conceptualization of the Field and Future Directions.” Journal of Advertising 49 (4):367–76. doi:10.1080/00913367.2020.1795759
   Web of Science ®Google Scholar
• Jung, A. R. 2017. “The Influence of Perceived Ad Relevance on Social Media Advertising: An Empirical Examination of a Mediating Role of Privacy Concern.” Computers in Human Behavior 70:303–9. doi:10.1016/j.chb.2017.01.008
   Web of Science ®Google Scholar
• Kim, H., and J. Huh. 2017. “Perceived Relevance and Privacy Concern regarding Online Behavioral Advertising (OBA) and Their Role in Consumer Responses.” Journal of Current Issues & Research in Advertising 38 (1):92–105. doi:10.1080/10641734.2016.1233157
   Google Scholar
• Kim, T., K. Barasz, and L. K. John. 2019. “Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness.” Journal of Consumer Research 45 (5):906–32. doi:10.1093/jcr/ucy039
   Web of Science ®Google Scholar
• Kim, Y. J., and J. Han. 2014. “Why Smartphone Advertising Attracts Customers: A Model of Web Advertising, Flow, and Personalization.” Computers in Human Behavior 33:256–69. doi:10.1016/j.chb.2014.01.015
   Web of Science ®Google Scholar
• Klayman, J. 1995. “Varieties of Confirmation Bias.” Psychology of Learning and Motivation 32:385–418. doi:10.1016/S0079-7421(08)60315-1
   Google Scholar
• Kwet, M. 2019. “In Stores, Secret Surveillance Tracks Your Every Move.” New York Times. https://www.nytimes.com/interactive/2019/06/14/opinion/bluetooth-wireless-tracking-privacy.html
   Google Scholar
• Laufer, R. S., and M. Wolfe. 1977. “Privacy as a Concept and a Social Issue: A Multidimensional Developmental Theory.” Journal of Social Issues 33 (3):22–42. doi:10.1111/j.1540-4560.1977.tb01880.x
   Web of Science ®Google Scholar
• Lee, H., and C. H. Cho. 2020. “Digital Advertising: Present and Future Prospects.” International Journal of Advertising 39 (3):332–41. doi:10.1080/02650487.2019.1642015
   Web of Science ®Google Scholar
• Li, H. 2019. “Special Section Introduction: Artificial Intelligence and Advertising.” Journal of Advertising 48 (4):333–7. doi:10.1080/00913367.2019.1654947
   Web of Science ®Google Scholar
• Lin, C. A., and X. Xu. 2021. “Exploring Bottled Water Purchase Intention via Trust in Advertising, Product Knowledge, Consumer Beliefs and Theory of Reasoned Action.” Social Sciences 10 (8):295. doi:10.3390/socsci10080295
   Google Scholar
• Lineup. 2021. “Overcoming the Ad Blindness of Millennials and Gen Z.” https://lineup.com/blog/overcoming-ad-blindness/
   Google Scholar
• Liu-Thompkins, Y., and E. C. Malthouse. 2017. “A Primer on Using Behavioral Data for Testing Theories in Advertising Research.” Journal of Advertising 46 (1):213–25. doi:10.1080/00913367.2016.1252289
   Web of Science ®Google Scholar
• Lutz, C., C. P. Hoffmann, and G. Ranzini. 2020. “Data Capitalism and the User: An Exploration of Privacy Cynicism in Germany.” New Media & Society 22 (7):1168–87. doi:10.1177/1461444820912544
   Web of Science ®Google Scholar
• Lyon, D. 2017. “Surveillance Culture: Engagement, Exposure, and Ethics in Digital Modernity.” International Journal of Communication 11:824–42. doi:1932–8036/20170005
   Web of Science ®Google Scholar
• McDonald, A. M., and L. F. Cranor. 2008. “The Cost of Reading Privacy Policies.” Isjlp, 4:543–68.
   Google Scholar
• McDonald, A. M., and L. F. Cranor. 2010, October. “Americans' Attitudes about Internet Behavioral Advertising Practices.” In Proceedings of the 9th Annual ACM Workshop on Privacy in the Electronic Society (pp. 63–72). Chicago, Illinois, USA. doi:10.1145/1866919.1866929
   Google Scholar
• Nickerson, R. S. 1998. “Confirmation Bias: A Ubiquitous Phenomenon in Many Guises.” Review of General Psychology 2 (2):175–220. doi:10.1037/2F1089-2680.2.2.175
   Google Scholar
• Richards, J. I., and C. M. Curran. 2002. “Oracles on “Advertising”: Searching for a Definition.” Journal of Advertising 31 (2):63–77. doi:10.1080/00913367.2002.10673667
   Web of Science ®Google Scholar
• Rip, A. 2019. “Folk Theories of Nanotechnologists.” In Nanotechnology and Its Governance, edited by A. Rip, 56–74. London: Routledge.
   Google Scholar
• Rodgers, S. 2021. “Themed Issue Introduction: Promises and Perils of Artificial Intelligence and Advertising.” Journal of Advertising 50 (1):1–10. doi:10.1080/00913367.2020.1868233
   Web of Science ®Google Scholar
• Segijn, C. M. 2019. “A New Mobile Data Driven Message Strategy Called Synced Advertising: Conceptualization, Implications, and Future Directions.” Annals of the International Communication Association 43 (1):58–77. doi:10.1080/23808985.2019.1576020
   Google Scholar
• Segijn, C. M., E. Kim, A. Sifaoui, and S. C. Boerman. 2021. “When Realizing That Big Brother Is Watching You: The Empowerment of the Consumer through Synced Advertising Literacy.” Journal of Marketing Communications, 1–22. doi:10.1080/13527266.2021.2020149
   Google Scholar
• Segijn, C. M., S. J. Opree, and I. Van Ooijen. 2022. “The Validation of the Perceived Surveillance Scale.” Cyberpsychology, 16 (3). doi:10.5817/CP2022-3-9
   Google Scholar
• Segijn, C. M., J. Strycharz, A. Riegelman, and C. Hennesy. 2021. “A Literature Review of Personalization Transparency and Control: Introducing the Transparency–Awareness–Control Framework.” Media and Communication 9 (4):120–33. doi:10.17645/mac.v9i4.4054
   Web of Science ®Google Scholar
• Segijn, C. M., and I. Van Ooijen. 2022. “Differences in Consumer Knowledge and Perceptions of Personalized Advertising: Comparing Online Behavioural Advertising and Synced Advertising.” Journal of Marketing Communications 28 (2):207–20. doi:10.1080/13527266.2020.1857297
   Google Scholar
• Segijn, C. M., and I. Van Ooijen. 2020. “Perceptions of Techniques Used to Personalize Messages across Media in Real Time.” Cyberpsychology, Behavior and Social Networking 23 (5):329–37. doi:10.1089/cyber.2019.0682.
   PubMed Web of Science ®Google Scholar
• Sifaoui, A. 2021. ““We Know What You See, So Here’s an Ad!” Online Behavioral Advertising and Surveillance on Social Media in an Era of Privacy Erosion.” Doctoral diss., University of Minnesota). https://hdl.handle.net/11299/224475.
   Google Scholar
• Sifaoui, A., G. Lee, and C. M. Segijn. 2022. “Brand Match vs. mismatch and Its Impact on Avoidance through Perceived Surveillance in the Context of Synced Advertising.” In Advances in Advertising Research, edited by A. Vignolles, Vol. XII. Wiesbaden: Springler-Gabler.
   Google Scholar
• Smit, E. G., G. Van Noort, and H. A. Voorveld. 2014. “Understanding Online Behavioural Advertising: User Knowledge, Privacy Concerns and Online Coping Behaviour in Europe.” Computers in Human Behavior 32:15–22. doi:10.1016/j.chb.2013.11.008
   Web of Science ®Google Scholar
• Solove, D. J. 2007. “I've Got Nothing to Hide and Other Misunderstandings of Privacy.” San Diego Law Review 44:745.
   Google Scholar
• Song, J. H., H. Y. Kim, S. Kim, S. W. Lee, and J. H. Lee. 2016. “Effects of Personalized e-Mail Messages on Privacy Risk: Moderating Roles of Control and Intimacy.” Marketing Letters 27 (1):89–101. doi:10.1007/s11002-014-9315-0
   Web of Science ®Google Scholar
• Stasson, M., and M. Fishbein. 1990. “The Relation between Perceived Risk and Preventive Action: A within‐Subject Analysis of Perceived Driving Risk and Intentions to Wear Seatbelts.” Journal of Applied Social Psychology 20 (19):1541–57. doi:10.1111/j.1559-1816.1990.tb01492.x
   Web of Science ®Google Scholar
• Strycharz, J., and B. Duivenvoorde. 2021. “The Exploitation of Vulnerability through Personalised Marketing Communication: Are Consumers Protected?” Internet Policy Review 10 (4):1–27. doi:10.14763/2021.4.1585
   Web of Science ®Google Scholar
• Strycharz, J., and C. M. Segijn. 2021. “Personalized Advertising and Chilling Effects: Consumers’ Change in Media Diet in Response to Corporate Surveillance.” The International Conference on Research in Advertising, Virtual Conference.
   Google Scholar
• Strycharz, J., E. Smit, N. Helberger, and G. van Noort. 2021. “No to Cookies: Empowering Impact of Technical and Legal Knowledge on Rejecting Tracking Cookies.” Computers in Human Behavior 120:106750. doi:10.1016/j.chb.2021.106750
   Web of Science ®Google Scholar
• Strycharz, J., G. Van Noort, E. Smit, and N. Helberger. 2019. “Protective Behavior against Personalized Ads: Motivation to Turn Personalization off.” Cyberpsychology: Journal of Psychosocial Research on Cyberspace 13 (2) doi:10.5817/CP2019-2-1
   Google Scholar
• Swami, V., T. Chamorro‐Premuzic, and A. Furnham. 2010. “Unanswered Questions: A Preliminary Investigation of Personality and Individual Difference Predictors of 9/11 Conspiracist Beliefs.” Applied Cognitive Psychology 24 (6):749–61. doi:10.1002/acp.1583
   Web of Science ®Google Scholar
• Swire-Thompson, B., and D. Lazer. 2020. “Public Health and Online Misinformation: Challenges and Recommendations.” Annual Review of Public Health 41:433–51. doi:10.1146/annurev-publhealth-040119-094127.
   PubMed Web of Science ®Google Scholar
• Tan, B. J., M. Brown, and N. Pope. 2019. “The Role of Respect in the Effects of Perceived Ad Interactivity and Intrusiveness on Brand and site.” Journal of Marketing Communications 25 (3):288–306. doi:10.1080/13527266.2016.1270344
   Google Scholar
• Toff, B., and R. K. Nielsen. 2018. ““I Just Google It”: Folk Theories of Distributed Discovery.” Journal of Communication 68 (3):636–57. doi:10.1093/joc/jqy009
   Web of Science ®Google Scholar
• Tushnet, R., and E. Goldman. 2020. Advertising & Marketing Law: Cases & Materials. Santa Clara: Faculty Book Gallery.
   Google Scholar
• Van Dijck, J. 2014. “Datafication, Dataism and Dataveillance: Big Data between Scientific Paradigm and Ideology.” Surveillance & Society 12 (2):197–208. doi:10.24908/ss.v12i2.4776
   Google Scholar
• Van Gogh, R., M. Walrave, and K. Poels. 2020. “Personalization in Digital Marketing: Implementation 1793 Strategies and the Corresponding Ethical Issues.” In The SAGE Handbook of Marketing Ethics, edited by L. Eagle, S. Dahl, P. De Pelsmacker, and C. R. Taylor, 411–23. London: Sage.
   Google Scholar
• Van Noort, G., E. G. Smit, and H. A. Voorveld. 2013. “The Online Behavioural Advertising Icon: two User Studies.” In Advances in Advertising Research, Vol. IV, 365–78. Wiesbaden: Springer Gabler.
   Google Scholar
• Van Ooijen, I. 2022. “When Disclosures Backfire: Aversive Source Effects for Personalization Disclosures on Less Trusted Platforms.” Journal of Interactive Marketing 57 (2):178–97. doi:10.1177/2F10949968221080499
   Web of Science ®Google Scholar
• van Ooijen, I., C. M. Segijn and S. J. Opree. 2022. Privacy Cynicism and its Role in Privacy Decision-Making. Communication Research. doi:10.1177/00936502211060984
   Google Scholar
• Van Ooijen, I., and H. U. Vrabec. 2019. “Does the GDPR Enhance Consumers’ Control over Personal Data? An Analysis from a Behavioural Perspective.” Journal of Consumer Policy 42 (1):91–107. doi:10.1007/s10603-018-9399-7
   Web of Science ®Google Scholar
• Von Pape, T., S. Trepte, and C. Mothes. 2017. “Privacy by Disaster? Press Coverage of Privacy and Digital Technology.” European Journal of Communication 32 (3):189–207. doi:10.1177/2F0267323117689994
   Web of Science ®Google Scholar
• Vraga, E. K., and L. Bode. 2020. “Defining Misinformation and Understanding Its Bounded Nature: Using Expertise and Evidence for Describing Misinformation.” Political Communication 37 (1):136–44. doi:10.1080/10584609.2020.1716500
   Web of Science ®Google Scholar
• Wojdynski, B. W., and N. J. Evans. 2016. “Going Native: Effects of Disclosure Position and Language on the Recognition and Evaluation of Online Native Advertising.” Journal of Advertising 45 (2):157–68. doi:10.1080/00913367.2015.1115380
   Web of Science ®Google Scholar
• Wojdynski, B. W., and N. J. Evans. 2020. “The Covert Advertising Recognition and Effects (CARE) Model: Processes of Persuasion in Native Advertising and Other Masked Formats.” International Journal of Advertising 39 (1):4–31. doi:10.1080/02650487.2019.1658438
   Web of Science ®Google Scholar
• Ytre-Arne, B., and H. Moe. 2021. “Folk Theories and Algorithms: Understanding Digital Irritation.” Media, Culture & Society 43 (5):807–24. doi:10.1177/2F0163443720972314
   Web of Science ®Google Scholar
• Yun, J. T., B. R. Duff, P. T. Vargas, H. Sundaram, and I. Himelboim. 2020. “Computationally Analyzing Social Media Text for Topics: A Primer for Advertising Researchers.” Journal of Interactive Advertising 20 (1):47–59. doi:10.1080/15252019.2019.1700851
   Google Scholar
• Yun, J. T., C. M. Segijn, S. Pearson, E. C. Malthouse, J. A. Konstan, and V. Shankar. 2020. “Challenges and Future Directions of Computational Advertising Measurement Systems.” Journal of Advertising 49 (4):446–58. doi:10.1080/00913367.2020.1795757
   Web of Science ®Google Scholar
• Yzer, M. 2012. “The Integrative Model of Behavioral Prediction as a Tool for Designing Health Messages.” Health Communication Message Design: Theory and Practice 2012:21–40.
   Google Scholar
• Zhang, D., M. van der Goot, H. Hendriks, S. C. Boerman, T. Araujo, and H. Voorveld. 2021. “They Know Everything”: Folk Theories, Thoughts, and Feelings about Surveillance in Media Technologies.” The International Conference on Research in Advertising, Virtual Conference.
   Google Scholar
• Zhu, H., C. X. Ou, W. J. A. van den Heuvel, and H. Liu. 2017. “Privacy Calculus and Its Utility for Personalization Services in e-Commerce: An Analysis of Consumer Decision-Making.” Information & Management 54 (4):427–37. doi:10.1016/j.im.2016.10.001
   Web of Science ®Google Scholar