Een experimenteel onderzoek met het gebruik van eyetracking-technologie naar de rol van aandacht in de verwerking van sociale advertenties door jongeren

References

1. Apestaartjaren. (2020). Onderzoeksrapport Apestaartjaren: de digitale leefwereld van jongeren. https://www.apestaartjaren.be
2. Bakshy, E., Eckles, D., Yan, R., & Rosenn, I. (2012). Social influence in social advertising: Evidence from field experiments. Proceedings of the 13th ACM Conference on Electronic Commerce - EC ’12.
   [Google Scholar]
3. Bang, H., & Wojdynski, B. W. (2016). Tracking users’ visual attention and responses to personalized advertising based on task cognitive demand. Computers in Human Behavior, 55, 867-876.
   [Google Scholar]
4. Beuckels, E., De Jans, S., Cauberghe, V., & Hudders, L. (2021). Keeping up with media multitasking: An eye-tracking study among children and adults to investigate the impact of media multitasking behavior on switching frequency, advertising attention, and advertising effectiveness. Journal of Advertising, 50(2), 197-206.
   [Google Scholar]
5. Bickart, B., & Schindler, R. M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31-40.
   [Google Scholar]
6. Boerman, S. C., Van Reijmersdal, E. A., & Neijens, P. C. (2014). Effects of sponsorship disclosure timing on the processing of sponsored content: A study on the effectiveness of European disclosure regulations: effects of sponsorship disclosure timing. Psychology & Marketing, 31(3), 214-224.
   [Google Scholar]
7. Brehm, J. W. (1966). A theory of psychological reactance. Academic Press.
8. Buijzen, M., Van Reijmersdal, E. A., & Owen, L. H. (2010). Introducing the PCMC model: An investigative framework for young people’s processing of commercialized media content. Communication Theory, 20(4), 427-450.
   [Google Scholar]
9. Celsi, R. L., & Olson, J. C. (1988). The role of involvement in attention and comprehension processes. Journal of Consumer Research, 15(2), 210-224.
   [Google Scholar]
10. Chaplin, L. N., & John, D. R. (2007). Growing up in a material world: Age differences in materialism in children and adolescents. Journal of Consumer Research, 34(4), 480-493.
    [Google Scholar]
11. Cho, C.-H., Lee, J.-G., & Tharp, M. (2001). Different forced-exposure levels to banner advertisements. Journal of Advertising Research, 41(4), 45-56.
    [Google Scholar]
12. Chu, S.-C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47-75.
    [Google Scholar]
13. Daugherty, T., Hoffman, E., Kennedy, K., & Nolan, M. (2018). Measuring consumer neural activation to differentiate cognitive processing of advertising: Revisiting Krugman. European Journal of Marketing, 52(1/2), 182-198.
    [Google Scholar]
14. De Jans, S., Vanwesenbeeck, I., Cauberghe, V., Hudders, L., Rozendaal, E., & Van Reijmersdal, E. A. (2018). The development and resting of a child-inspired advertising disclosure to alert children to digital and embedded advertising. Journal of Advertising, 47(3), 255-269.
    [Google Scholar]
15. De Keyzer, F., Dens, N., & De Pelsmacker, P. (2015). Is this for me? How consumers respond to personalized advertising on social network sites. Journal of Interactive Advertising, 15(2), 124-134.
    [Google Scholar]
16. Devue, C., & Brédart, S. (2008). Attention to self-referential stimuli: Can I ignore my own face?Acta Psychologica, 128(2), 290-297.
    [Google Scholar]
17. Dvir-Gvirsman, S. (2019). I like what I see: Studying the influence of popularity cues on attention allocation and news selection. Information, Communication & Society, 22(2), 286-305.
    [Google Scholar]
18. Frazier, T. W., Klingemier, E. W., Beukemann, M., Speer, L., Markowitz, L., Parikh, S., Wexberg, S., Giuliano, K., Schulte, E., Delahunty, C., Ahuja, V., Eng, C., Manos, M. J., Hardan, A. Y., Youngstrom, E. A., & Strauss, M. S. (2016). Development of an objective autism risk index using remote eye tracking. Journal of the American Academy of Child & Adolescent Psychiatry, 55(4), 301-309.
    [Google Scholar]
19. Friestad, M., & Wright, P. (1994). The persuasion knowledge model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1-31.
    [Google Scholar]
20. Gidlöf, K., Holmberg, N., & Sandberg, H. (2012). The use of eye-tracking and retrospective interviews to study teenagers’ exposure to online advertising. Visual Communication, 11(3), 329-345.
    [Google Scholar]
21. Hayes, A. F. (2019). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
22. Hilverda, F., Kuttschreuter, M., & Giebels, E. (2018). The effect of online social proof regarding organic food: Comments and likes on Facebook. Frontiers in Communication, 3, 1-15.
    [Google Scholar]
23. Huang, B., Juaneda, C., Sénécal, S., & Léger, P.-M. (2021). “Now You See Me”: The attention-grabbing effect of product similarity and proximity in online shopping. Journal of Interactive Marketing, 54, 1-10.
    [Google Scholar]
24. Hudders, L., De Pauw, P., Cauberghe, V., Panic, K., Zarouali, B., & Rozendaal, E. (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.
    [Google Scholar]
25. Isaksen, K. J., & Roper, S. (2012). The commodification of self-esteem: Branding and British teenagers. Psychology & Marketing, 29(3), 117-135.
    [Google Scholar]
26. 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, 303-309.
    [Google Scholar]
27. Kelly, L., Kerr, G., & Drennan, J. (2010). Avoidance of advertising in social networking sites: The teenage perspective. Journal of Interactive Advertising, 10(2), 16-27.
    [Google Scholar]
28. Keyes, H., & Zalicks, C. (2016). Socially important faces are processed preferentially to other familiar and unfamiliar faces in a priming task across a range of viewpoints. PLOS ONE, 11(5).
    [Google Scholar]
29. Knoll, J., & Proksch, R. (2017). Why we watch others’ responses to online advertising – investigating users’ motivations for viewing user-generated content in the context of online advertising. Journal of Marketing Communications, 23(4), 400-412.
    [Google Scholar]
30. Koroleva, K., & Kane, G. C. (2017). Relational affordances of information processing on Facebook. Information & Management, 54(5), 560-572.
    [Google Scholar]
31. Lang, A. (2000). The limited capacity model of mediated message processing. Journal of Communication, 50(1), 46-70.
    [Google Scholar]
32. Lawlor, M.-A., Dunne, Á., & Rowley, J. (2016). Young consumers’ brand communications literacy in a social networking site context. European Journal of Marketing, 50(11), 2018-2040.
    [Google Scholar]
33. Li, Y.-M., Lee, Y.-L., & Lien, N.-J. (2012). Online social advertising via influential endorsers. International Journal of Electronic Commerce, 16(3), 119-154.
    [Google Scholar]
34. Li, Y.-M., Lin, L., & Chiu, S.-W. (2014). Enhancing targeted advertising with social context endorsement. International Journal of Electronic Commerce, 19(1), 99-128.
    [Google Scholar]
35. Malheiros, M., Jennett, C., Patel, S., Brostoff, S., & Sasse, M. A. (2012). Too close for comfort: A study of the effectiveness and acceptability of rich-media personalized advertising. Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems - CHI ’12. The 2012 ACM annual conference, Austin, Texas, USA.
    [Google Scholar]
36. Mangleburg, T. F., Doney, P. M., & Bristol, T. (2004). Shopping with friends and teens’ susceptibility to peer influence. Journal of Retailing, 80(2), 101-116.
    [Google Scholar]
37. Moray, N. (1959). Attention in dichotic listening: Affective cues and the influence of instructions. Quarterly Journal of Experimental Psychology, 11(1), 56-60.
    [Google Scholar]
38. Ofcom. (2019). Children and parents: Media use and attitudes report 2019. https://www.ofcom.org.uk/__data/assets/pdf_file/0023/190616/children-media-use-attitudes-2019-report.pdf
39. Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123-205.
    [Google Scholar]
40. Pfiffelmann, J., Dens, N., & Soulez, S. (2020). Personalized advertisements with integration of names and photographs: An eye-tracking experiment. Journal of Business Research, 111, 196-207.
    [Google Scholar]
41. Piacentini, M., & Mailer, G. (2004). Symbolic consumption in teenagers’ clothing choices. Journal of Consumer Behaviour, 3(3), 251-262.
    [Google Scholar]
42. Sülflow, M., Schäfer, S., & Winter, S. (2019). Selective attention in the news feed: An eye-tracking study on the perception and selection of political news posts on Facebook. New Media & Society, 21(1), 168-190.
    [Google Scholar]
43. Tucker, C. (2012).Social Advertising. SSRN eLibrary. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1975897
44. Van Noort, G., Antheunis, M. L., & Van Reijmersdal, E. A. (2012). Social connections and the persuasiveness of viral campaigns in social network sites: Persuasive intent as the underlying mechanism. Journal of Marketing Communications, 18(1), 39-53.
    [Google Scholar]
45. Van Reijmersdal, E. A., Boerman, S. C., Buijzen, M., & Rozendaal, E. (2017). This is advertising! Effects of disclosing television brand placement on adolescents. Journal of Youth and Adolescence, 46(2), 328-342.
    [Google Scholar]
46. Walrave, M., Poels, K., Antheunis, M. L., Van den Broeck, E., & Van Noort, G. (2018). Like or dislike? Adolescents’ responses to personalized social network site advertising. Journal of Marketing Communications, 24(6), 599-616.
    [Google Scholar]
47. Walther, J. B., Liang, Y. J., Ganster, T., Wohn, D. Y., & Emington, J. (2012). Online reviews, helpfulness ratings, and consumer attitudes: An extension of congruity theory to multiple sources in Web 2.0. Journal of Computer-Mediated Communication, 18(1), 97-112.
    [Google Scholar]
48. WARC. (2020). What we know about dwell time. WARC. https://www.warc.com/content/article/what-we-know-about-dwell-time/107901
49. Windels, K., Heo, J., Jeong, Y., Porter, L., Jung, A.-R., & Wang, R. (2018). My friend likes this brand: Do ads with social context attract more attention on social networking sites?Computers in Human Behavior, 84, 420-429.
    [Google Scholar]
50. Winter, S., Brückner, C., & Krämer, N. (2015). They came, they liked, they commented: Social influence on Facebook news channels. Cyberpsychology, Behavior, and Social Networking, 18(8), 431-436.
    [Google Scholar]
51. Youn, S., & Shin, W. (2019). Adolescents’ responses to social media newsfeed advertising: The interplay of persuasion knowledge, benefit-risk assessment, and ad scepticism in explaining information disclosure. International Journal of Advertising, 39(2), 1-19.
    [Google Scholar]
52. Zarouali, B., Poels, K., Walrave, M., & Ponnet, K. (2018). ‘You talking to me?’ The influence of peer communication on adolescents’ persuasion knowledge and attitude towards social advertisements. Behaviour & Information Technology, 37(5), 502-516.
    [Google Scholar]
53. Zarouali, B., Ponnet, K., Walrave, M., & Poels, K. (2017). “Do you like cookies?” Adolescents’ skeptical processing of retargeted Facebook-ads and the moderating role of privacy concern and a textual debriefing. Computers in Human Behavior, 69, 157-165.
    [Google Scholar]