Behavioral mechanisms as prediction of the use of ad blocking in online news users

Authors

DOI:

https://doi.org/10.26441/RC19.2-2020-A13

Keywords:

digital advertising, adblockers, advertising avoidance, online news users

Abstract

Avoiding commercial content while consuming media is not a new phenomenon. The theory recognizes different mechanisms to explain this behavior and the use of advertising blockers can be recognized as an active and conscious behavioral response to this type of content. It is interesting to delve into the reasons that can explain this response by the user. This article analyzes to what extent the use of these ad blocking software is related to conscious attitudes and what is the probability that certain profiles will use them more or less. The case of online news users in Spain is studied with the data from the Digital News Report 2018, which surveyed a representative sample of 2023 Spanish adults. Through a binomial logistic regression, it is shown that some demographic aspects such as age and gender seem to indicate a greater propensity to use this type of online advertising blocking software. Also users with an active attitude are more likely to use programs to block digital advertising. In contrast, it is shown how there are two profiles of people who are less likely to use these software: those who pay for online news and those who have greater familiarity and critical knowledge of the information sector.

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Author Biographies

Cristina Sánchez-Blanco, Universidad de Navarra

Doctora en Comunicación y Profesora Contratada Doctora del Departamento de Marketing y Empresas de Comunicación de la Facultad de Comunicación de la Universidad de Navarra

Charo Sádaba, Universidad de Navarra

Doctora en Comunicación y Profesora Titular del Departamento de Marketing y Empresas de Comunicación de la Facultad de Comunicación de la Universidad de Navarra

Elena-Luisa Sanjurjo-Sanmartín, Universidad de Navarra

Doctora en Economía Aplicada y profesora de probabilidad y estadística de la Facultad de Económicas de la Universidad de Navarra.

 

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Investigación financiada por el proyecto “Usos y preferencias informativas en el nuevo mapa de medios en España: audiencias, empresas, contenidos y gestión de la reputación en un entorno multipantalla” cofinanciado por Ministerio de Economía y Competitividad y el Fondo Europeo de Desarrollo Regional (CSO2015-64662-C4-1-R).

References

Alwitt, L. F. y Prabhaker, P. R. (1994). Identifying who dislikes television advertising: Not by demographics alone. Journal of Advertising Research, 34 (6), pp. 17–29.

Asociación de Anunciantes (2018). La percepción de la Publicidad en tv e Internet 2018. https://www.anunciantes.com/estudio-aea/percepcion-del-consumidor.pdf

Baek, T. H. y Morimoto, M. (2012). Stay away from me. Journal of Advertising, 41, 1, pp. 59-76. https://doi.org/10.2753/JOA0091-3367410105 DOI: https://doi.org/10.2753/JOA0091-3367410105

Campbell, C., Mattison Thompson, F., Grimm, P. E. y Robson, K. (2017). Understanding Why Consumers Don't Skip Pre-Roll Video Ads. Journal of Advertising, 46, 3, pp. 411-423. https://doi.org/10.1080/00913367.2017.1334249 DOI: https://doi.org/10.1080/00913367.2017.1334249

Chinchanachokchai, S. y De Gregorio, F. (2020). A consumer socialization approach to understanding advertising avoidance on social media. Journal of Business Research, 110, pp. 474-483. https://doi.org/10.1016/j.jbusres.2020.01.062 DOI: https://doi.org/10.1016/j.jbusres.2020.01.062

Cho, C. y Cheon, H. J. (2004). Why do People Avoid Advertising on the Internet? Journal of Advertising, 33, 4, pp. 89-97. http://dx.doi.org/10.1080/00913367.2004.10639175 DOI: https://doi.org/10.1080/00913367.2004.10639175

Digital News Report (2018). Digital news report 2018. Resumen ejecutivo, http://www.digitalnewsreport.es/introduccion-digitalnewsreport-es-2018-una-audiencia-diversa-y-preocupada-por-la-desinformacion/

Danaher, P. (1995). What happens to television ratings during commercial breaks?Journal of Advertising Research, 35, 1, pp. 37-47.

Eagly, A. H. y Chaiken, S. (1998). Attitude structure and function. En Gilbert, D. T.; Fiske, S.T. y Lindzey, G. (Eds), The Handbook of Social Psychology, McGraw-Hill, New York, NY, pp. 269-322.

Edwards, S.M.; Li, H. y Lee, J-H. (2002). Forced Exposure and Psychological Reactance: Antecedents and Consequences of the Perceived Intrusiveness of Pop-Up Ads. Journal of Advertising, 31, 3, pp. 83-95, DOI: 10.1080/00913367.2002.10673678 DOI: https://doi.org/10.1080/00913367.2002.10673678

Global Web Index (2018). The digital trends to watch 2018, https://www.globalwebindex.com/reports/trends-18

Goodrich, K., Schiller, S. Z. y Galletta, D. (2015). Consumer reactions to intrusiveness of online-video advertisements: do length, informativeness, and humor help (or hinder) marketing outcomes? Journal of Advertising Research, 55, 1, pp. 37-50. http://dx.doi.org/10.2501/JAR-55-1-037-050 DOI: https://doi.org/10.2501/JAR-55-1-037-050

IAB Spain (2019). Guía para mejorar la experiencia del usuario con la publicidad digital. https://iabspain.es/wp-content/uploads/gua-para-mejorar-la-experiencia-del-usuario-con-la-publicidad-digital.pdf

Johnson, J. P. (2013). Targeted Advertising and Advertising Avoidance. RAND Journal of Economics, 44, 1, pp. 128–44. https://doi.org/10.1111/1756-2171.12014 DOI: https://doi.org/10.1111/1756-2171.12014

Korgaonkar, P. K.; Wolin, L.D. (1999). A Multivariate Analysis of Web Usage. Journal of Advertising Research, 39, 2, pp. 53-68.

Lancelot, C., Cases, A-S., Russell, C. (2019). Consumers' Responses to Facebook Advertising across PCs and Mobile Phones. Journal of Advertising Research, 59, 4, pp. 414-432. DOI: 10.2501/JAR-2019-029 DOI: https://doi.org/10.2501/JAR-2019-029

Li, H.; Edwards, S.M. y Lee, J.H. (2002). Measuring the Intrusiveness of Advertisements: Scale Development and Validation. Journal of Advertising, 31, 2, pp. 37-47. https://doi.org/10.1080/00913367.2002.10673665 DOI: https://doi.org/10.1080/00913367.2002.10673665

Li, X., Wang, C. y Zhang, Y. (2020). The dilemma of social commerce: Why customers avoid peer-generated advertisements in mobile social networks. Internet Research, 30, 3, pp. 1059-1080. https://doi.org/10.1108/INTR-02-2017-0045 DOI: https://doi.org/10.1108/INTR-02-2017-0045

McDonald, S. C. (2018). What Do We Really Know about Attitudes Toward Privacy and Advertisement Avoidance? Journal of Advertising Research, 58, 1, pp. 75-76. doi:10.2501/JAR-2018-010 DOI: https://doi.org/10.2501/JAR-2018-010

Nithyanand, R., Khattak, S., Javed, M., Vallina-Rodriguez, N., Falahrastegar, M., Powles, J. E., De Cristofaro, E., Haddadi, H. y Murdoch, S. J. (2016). Adblocking and counter-blocking: a slice of the arms race. En: Proceedings of the 6th USENIX Workshop on Free and Open Communications on the Internet, FOCI 2016, Austin, TX, August.

Page Fair (2017). 2017 Adblock report, https://pagefair.com/blog/2017/adblockreport/

Phillips, J., Noble, S. M. (2007). Simply Captivating: Understanding Consumers’ Attitudes toward the Cinema as an Advertising Medium. Journal of Advertising, 36, 81-94. http://dx.doi.org/10.2753/JOA0091-3367360106 DOI: https://doi.org/10.2753/JOA0091-3367360106

Prendergast, G. P., Tsang, A.S.L. y Cheng, R. (2014). Predicting Handbill Avoidance in Hong Kong and the UK. European Journal of Marketing, 48, 1/2, pp. 132–46. http://dx.doi.org/10.1108/EJM-05-2011-0244 DOI: https://doi.org/10.1108/EJM-05-2011-0244

Rojas-Méndez, J.I., Davies, G. y Canan, M. (2009). Universal differences in advertising avoidance behavior: a cross-cultural study. Journal of Business Research, 62, 10, pp. 947-954. DOI: https://doi.org/10.1016/j.jbusres.2008.08.008

Sádaba, C. y Sánchez-Blanco, C. (2018). El uso de bloqueadores de publicidad entre los usuarios de noticias online en españa: perfiles y motivos. En González-Esteban, José Luis; García-Avilés, José Alberto (Eds.). Mediamorfosis. Radiografía de la innovación en el periodismo. Sociedad Española de Periodística, ISBN: 978-84-948233-5-0, pp. 123-136.

Sádaba, C. y Sánchez-Blanco, C. (2019). Los usos y preferencias informativas de los públicos: evasión informativa y exposición incidental; itinerarios, participación y redes sociales; radio, audio y podcast; publicidad y bloqueo de anuncios (ad-blocking). En: Toural-Bran, C. y López-García, X. Ecosistema de cibermedios en España. Tipologías, iniciativas, tendencias narrativas y desafíos. Salamanca: Comunicación Social, pp. 109-140. ISBN: 978-84-17600-08-2.

Seyedghorban, Z., Tahernejad, H. y Matanda, M.J. (2016). Reinquiry into Advertising Avoidance on the Internet: A Conceptual Replication and Extension. Journal of Advertising, 45, 1, pp. 120-129. https://doi.org/10.1080/00913367.2015.1085819 DOI: https://doi.org/10.1080/00913367.2015.1085819

Singh, A. K. y Potdar, V. (2009). Blocking online advertising. A state of art. Proceedings Industrial Technology, ICIT 2009, IEEE International Conference, pp. 1-11.

Söllner, J. Y Dost, F. (2019). Exploring the Selective Use of Ad Blockers and Testing Banner Appeals to Reduce Ad Blocking. Journal of Advertising, 48, 3, pp. 302-312. https://doi.org/10.1080/00913367.2019.1613699 DOI: https://doi.org/10.1080/00913367.2019.1613699

Southgate, D. (2017). The emergence of Generation Z and its impact in advertising: Long-term implications for media planning and creative development. Journal of Advertising Research, 57, 2, pp. 227-235. https://doi.org/10.2501/JAR-2017-028 DOI: https://doi.org/10.2501/JAR-2017-028

Speck, P.S. y Elliott, M.T. (1997). Predictors of Advertising Avoidance in Print and Broadcast Media. Journal of Advertising, 26, 3, pp. 61-76. https://doi.org/10.1080/00913367.1997.10673529 DOI: https://doi.org/10.1080/00913367.1997.10673529

Tang, Ji, Zhang, P. y Wu, P. F.W. (2015). Categorizing consumer behavioral responses and artifact design features: The case of online advertising. Information Systems Frontiers, 17, 3, pp. 513-532. https://doi.org/10.1007/s10796-014-9508-3 DOI: https://doi.org/10.1007/s10796-014-9508-3

Tudoran, A. A. (2019). Why do internet consumers block ads? New evidence from consumer opinion mining and sentiment analysis. Internet Research, Vol. 29 No. 1, pp. 144-166. https://doi.org/10.1108/IntR-06-2017-0221 DOI: https://doi.org/10.1108/IntR-06-2017-0221

Van der Goot, M. J., Rozendaal, E., Opree, S.J.; Ketelaar, P.E. y Smit, E. G. (2018). Media generations and their advertising attitudes and avoidance: a six-country comparison. International Journal of Advertising, 37, 2, pp. 289-308. https://doi.org/10.1080/02650487.2016.1240469 DOI: https://doi.org/10.1080/02650487.2016.1240469

Walbesser, J. L. (2011). Blocking advertising blocking: the war over internet advertising and the effect on intellectual property. Intellectual Property & Technology Law Journal, 23, 1, pp. 19-26.

Zambrano, A. y Pickard, C. (2018). A defense of ad blocking and consumer inattention. Ethics and Information Technology, 20, pp.143-155. https://doi.org/10.1007/s10676-018-9454-8 DOI: https://doi.org/10.1007/s10676-018-9454-8

Published

11/09/2020

How to Cite

Sánchez-Blanco, C., Sádaba, C., & Sanjurjo-Sanmartín, E.-L. (2020). Behavioral mechanisms as prediction of the use of ad blocking in online news users. Revista De Comunicación, 19(2), 231–243. https://doi.org/10.26441/RC19.2-2020-A13

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Papers