When you realize that big brother is watching: How informing consumers affects synced advertising effectiveness

References

• 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): 363–376. doi:10.1080/00913367.2017.1339368.
   Web of Science ®Google Scholar
• Boerman, S.C., and E.A. Van Reijmersdal. 2020. “Disclosing Influencer Marketing on YouTube to Children: The Moderating Role of Para-Social Relationship.” Frontiers in Psychology 10: 3042. doi:10.3389/fpsyg.2019.03042.
   PubMed Web of Science ®Google Scholar
• Boerman, S.C., E.A. Van Reijmersdal, and P.C. Neijens. 2012. “Sponsorship Disclosure: Effects of Duration on Persuasion Knowledge and Brand Responses.” Journal of Communication 62 (6): 1047–1064. doi:10.1111/j.1460-2466.2012.01677.x.
   Web of Science ®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
• 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): 953–977. doi:10.1177/0093650218800915.
   Web of Science ®Google Scholar
• Boerman, S.C., van Reijmersdal, E.A., Rozendaal, E., Dima, A.L. (2018). “Development of the persuasion knowledge scales of sponsored content (PKS-SC).“ International Journal of Advertising 37(5): 671–697.
   Web of Science ®Google Scholar
• Brehm, S.S., and J.W. Brehm. 1981. Psychological Reactance: A Theory of Freedom and Control. San Diego, CA: Academic Press.
   Google Scholar
• Daems, K., P. De Pelsmacker, and I. Moons. 2019. “Advertisers’ Perceptions regarding the Ethical Appropriateness of New Advertising Formats Aimed at Minors.” Journal of Marketing Communications 25 (4): 438–456. doi:10.1080/13527266.2017.1409250.
   Google Scholar
• De Veirman, M., and L. Hudders. 2020. 'Disclosing Sponsored Instagram Posts: The Role of Material Connection with the Brand and Message-sidedness When Disclosing Covert Advertising.' International Journal of Advertising 39 (1): 94–130. doi:10.1080/02650487.2019.1575108
   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): 119–138. doi:10.1177/1461444818791318.
   Web of Science ®Google Scholar
• Eisend, M., E.A. van Reijmersdal, S.C. Boerman, and F. Tarrahi. 2020. “A Meta-Analysis of the Effects of Disclosing Sponsored Content.” Journal of Advertising 49 (3): 344–366. doi:10.1080/00913367.2020.1765909.
   Web of Science ®Google Scholar
• Evans, N.J., J. Phua, J. Lim, and H. Jun. 2017. “Disclosing Instagram Influencer Advertising: The Effects of Disclosure Language on Advertising Recognition, Attitudes, and Behavioral Intent.” Journal of Interactive Advertising 17 (2): 138–149. doi:10.1080/15252019.2017.1366885.
   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
• 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
• Garrity, P. (2018) “How Does. A TV Synced Ad Work?.” https://mumbrella.com.au/tv-synced-ad-work-501593 (accessed 3 December 2019
   Google Scholar
• Geuens, M., and P. De Pelsmacker. 2017. “Planning and Conducting Experimental Advertising Research and Questionnaire Design.” Journal of Advertising 46 (1): 83–100. doi:10.1080/00913367.2016.1225233.
   Web of Science ®Google Scholar
• Ham, C. D., and M. R. Nelson. 2019. “The Reflexive Persuasion Game: The Persuasion Knowledge Model (1994–2017).” In Advertising Theory, 124–140. New York: Routledge. doi:10.4324/9781351208314-8.
   Google Scholar
• Ham, C.D. 2017. “Exploring How Consumers Cope with Online Behavioral Advertising.” International Journal of Advertising 36 (4): 632–658. doi:10.1080/02650487.2016.1239878.
   Web of Science ®Google Scholar
• Hayes, A.F. 2013. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach. New York: Guilford Press.
   Google Scholar
• Hoeck, L., and M. Spann. 2020. “An Experimental Analysis of the Effectiveness of Multi-screen Advertising.” Journal of Interactive Marketing 50: 81–99. doi:10.1016/j.intmar.2020.01.002.
   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): 333–349. doi:10.1080/00913367.2016.1269303.
   Web of Science ®Google Scholar
• Kantrowitz, A. 2014. “Look at Your Phone during TV Ads? Expect to See the Same Messages There.” Advertising Age. http://adage.com/article/digital/wpp-s-xaxis-sync-tv-mobile-ads/292758/
   Google Scholar
• McDonald, A., and L.F., Cranor. 2010. TPRC Conference. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1989092
   Google Scholar
• Obermiller, C., and E. R. Spangenberg. 1998 ”Development of a scale to measure consumer skepticism toward advertising.” Journal of Consumer Psychology 7 (2): 159–186
   Google Scholar
• Park, C.W., and V.P. Lessig. 1981. “Familiarity and Its Impacts on Consumer Decision Biases and Heuristics.” Journal of Consumer Research 8: 223–230. doi:10.1086/208859.
   Web of Science ®Google Scholar
• Phelan, C., C. Lampe, and P. Resnick. 2016. “It’s Creepy, but It Doesn’t Bother Me.” In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, May 7-12. San Jose California USA: 5240–5251.
   Google Scholar
• Raju, P.S., S.C. Lonial, and W.G. Mangold. 1995. “Differential Effects of Subjective Knowledge, Objective Knowledge, and Usage Experience on Decision Making: An Exploratory Investigation.” Journal of Consumer Psychology 4 (2): 153–180. doi:10.1207/s15327663jcp0402_04.
   Google Scholar
• Rozendaal, E., M.A. Lapierre, E.A. Van Reijmersdal, and M. Buijzen. 2011. “Reconsidering Advertising Literacy as a Defense against Advertising Effects.” Media Psychology 14 (4): 333–354. doi:10.1080/15213269.2011.620540.
   Web of Science ®Google Scholar
• Sagarin, B.J., R.B. Cialdini, W.E. Rice, and S.B. Serna. 2002. “Dispelling the Illusion of Invulnerability: The Motivations and Mechanisms of Resistance to Persuasion.” Journal of Personality and Social Psychology 83 (3): 526–541. doi:10.1037/0022-3514.83.3.526.
   PubMed Web of Science ®Google Scholar
• Segijn, C. M., Opree, S. J., & van Ooijen, I. (2021). The Validation of the Perceived Surveillance Scale. The annual conference of the International Communication Association May 2021 Virtual Conference.
   Google Scholar
• Segijn, C.M., and H.A.M. Voorveld. 2021. “A First Step in Unraveling Synced Advertising Effectiveness.” International Journal of Advertising 40(1): 124–143. doi:10.1080/02650487.2020.1778279
   Web of Science ®Google Scholar
• Segijn, C.M., and I. Van Ooijen. 2020a. “Perceptions of Techniques Used to Personalize Messages across Media in Real Time.” Cyberpsychology, Behavior and Social Networking 23 (5): 329–337. doi:10.1089/cyber.2019.0682.
   PubMed Web of Science ®Google Scholar
• Segijn, C.M., and I. Van Ooijen. 2020b. “Differences in Consumer Knowledge and Perceptions of Personalized Advertising: Comparing Online Behavioural Advertising and Synced Advertising.” Journal of Marketing Communications 1–20. doi:10.1080/13527266.2020.1857297.
   Google Scholar
• Segijn, C.M., Voorveld, H. A. M., Vakeel, K. A. 2021. “The importance of ad sequence and privacy concerns in personalized advertising: An eye-tracking study into synced advertising.“ Journal of Advertising 50(3): 320–329. doi:10.1080/00913367.2020.1870586
   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
• Silvia, P.J. 2006. “Reactance and the Dynamics of Disagreement: Multiple Paths from Threatened Freedom to Resistance to Persuasion.” European Journal of Social Psychology 36 (5): 673–685. doi:10.1002/ejsp.309.
   Web of Science ®Google Scholar
• Smit, E.G., G. van Noort, and H.A.M. 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. 2006. “A Taxonomy of Privacy.” University of Pennsylvania Law Review 157 (2): 341–393.
   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
• Tyler, T.R., and F.L. Cook. 1984. “The Mass Media and Judgments of Risk: Distinguishing Impact on Personal and Societal Level Judgments.” Journal of Personality and Social Psychology 47 (4): 693. doi:10.1037/0022-3514.47.4.693.
   Web of Science ®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
• Van Reijmersdal, E. A., Rozendaal, E., Hudders, L., Vanwesenbeeck, I., Cauberghe, V., and Z. M. van Berlo (2020). ”Effects of disclosing influencer marketing in videos: An eye tracking study among children in early adolescence.” Journal of Interactive Marketing 49: 94–106. doi:10.1016/j.intmar.2019.09.001
   Web of Science ®Google Scholar
• Vanwesenbeeck, I., M. Walrave, and K. Ponnet. 2016. “Young Adolescents and Advertising on Social Network Games: A Structural Equation Model of Perceived Parental Media Mediation, Advertising Literacy, and Behavioral Intention.” Journal of Advertising 45 (2): 183–197. doi:10.1080/00913367.2015.1123125.
   Web of Science ®Google Scholar
• Varnali, K. 2021. “Online Behavioral Advertising: An Integrative Review.” Journal of Marketing Communications 27 (1): 93–114. doi:10.1080/13527266.2019.1630664.
   Google Scholar
• Webwire (2017). “TUI UK Is the First Brand to Sign up to Instant Ad Sync with TVGuide.co.UK.” https://www.webwire.com/ViewPressRel.asp?aId=207477 (Accessed 13 September 2021
   Google Scholar
• White, T.B., D.L. Zahay, H. Thorbjørnsen, and S. Shavitt. 2008. “Getting Too Personal: Reactance to Highly Personalized Email Solicitations.” Marketing Letters 19 (1): 39–50. doi:10.1007/s11002-007-9027-9.
   Web of Science ®Google Scholar
• Xu, H., S. Gupta, M.B. Rosson, and J.M. Carroll. 2012. “Measuring Mobile Users’ Concerns for Information Privacy.” Thirty Third International Conference on Information Systems, Orlando: 1–16.
   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): 446–458. doi:10.1080/00913367.2020.1795757.
   Web of Science ®Google Scholar