Forced Exposure and Psychological Reactance: Antecedents and Consequences of the Perceived Intrusiveness of Pop-Up Ads
Abstract
This paper explores forced viewing of “pop-up ads” on the Internet to understand better how viewers come to define ads as irritating and decide to avoid them. Perceived intrusiveness was suggested as the underlying mechanism by which the process occurs. Antecedents of intrusiveness were identified that affect perceptions of ads as interruptions, including congruence of the advertisement content with the current task and intensity of cognition at the moment the ad pops up. The consequences of intrusiveness were shown to be caused by feelings of irritation and ad avoidance. The results provide an understanding of how consumers experience forced exposure situations in interactive environments and highlight implications for advertisers seeking to increase the effectiveness of on-line advertising.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The same TV programmes are enjoyed more by viewers who choose them over viewers who are involuntarily exposed to them, an effect also visible in advertising.
“Lewis [61] shows that the same TV programmes are enjoyed more by viewers who choose them over viewers who are involuntarily exposed to them, an effect that is (with some qualifications) also visible in advertising [62, 63].”
From Five studies evaluating the impact on mental health and mood of recalling, reading, and discussing fiction (2022) · cites this paper as [63]
Cites
Authentic leadership development: Getting to the root of positive forms of leadership
Avolio, B. J., & Gardner, W. L. (2005) · The Leadership Quarterly · doi:10.1016/j.leaqua.2005.03.001 · Cited by 5,478 · see citing works
The Persuasion Knowledge Model: How People Cope with Persuasion Attempts
Friestad, M., & Wright, P. (1994) · Journal of Consumer Research · doi:10.1086/209380 · Cited by 3,811 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Social Networks, Personalized Advertising, and Privacy Controls
Tucker, C. E. (2014) · Journal of Marketing Research · doi:10.1509/jmr.10.0355 · Cited by 829 · see citing works
The Importance of Trust for Personalized Online Advertising
Bleier, A., & Eisenbeiss, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.04.001 · Cited by 529 · see citing works
Getting Too Personal: Reactance to Highly Personalized Email Solicitations
White, T. B., Zahay, D. L., Thorbjørnsen, H., & Shavitt, S. (2008) · Marketing Letters · doi:10.1007/s11002-007-9027-9 · Cited by 365 · see citing works
The economic and cognitive costs of annoying display advertisements
Goldstein, D. G., Suri, S., McAfee, R. P., Ekstrand-Abueg, M., & Diaz, F. (2014) · Journal of Marketing Research · doi:10.1509/jmr.13.0439 · Cited by 151 · see citing works
Duff, B. R. L., & Faber, R. J. (2011) · Journal of Advertising · doi:10.2753/joa0091-3367400204 · Cited by 137 · see citing works
Bues, M., Steiner, M., Stafflage, M., & Krafft, M. (2017) · Psychology & Marketing · doi:10.1002/mar.20981 · Cited by 110 · see citing works
Proactive vs. reactive personalization: Can customization of privacy enhance user experience?
Zhang, B., & Sundar, S. S. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.03.002 · Cited by 109 · see citing works
Gong, T., & Tung, V. W. S. (2017) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2016.1182458 · Cited by 83 · see citing works
Redondo, I., & Aznar, G. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.04.008 · Cited by 80 · see citing works
Ketelaar, P. E., Bernritter, S. F., van Woudenberg, T. J., Rozendaal, E., Konig, R. P., Hühn, A. E., Van Gisbergen, M. S., & Janssen, L. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.06.018 · Cited by 60 · see citing works
Handling consumer messages on social networking sites: Customer service or privacy infringement?
Demmers, J., van Dolen, W. M., & Weltevreden, J. W. J. (2018) · International Journal of Electronic Commerce · doi:10.1080/10864415.2018.1396110 · Cited by 33 · see citing works
Carney, J., & Robertson, C. (2022) · PLOS ONE · doi:10.1371/journal.pone.0266323 · Cited by 25 · see citing works
- Authors
- Edwards, S. M., Li, H., & Lee, J.-H.
- Affiliations
- The University of Texas at Austin (US)
- Michigan State University (US)
- Venue
- Journal of Advertising
- Publisher
- Informa UK Limited
- Published
- 2002-10
- Volume
- 31
- Issue
- 3
- Pages
- 83-95
- ISSN
- 0091-3367 (ISSN-L)
- 1557-7805
- OpenAlex
- W2079084267
- Cited by
- 1,053
- References
- 2
- Citations by year
- 2026: 72 · 2025: 67 · 2024: 61 · 2023: 62 · 2022: 71 · 2021: 80 · 2020: 76 · 2019: 78 · 2018: 70 · 2017: 56 · 2016: 50 · 2015: 49 · 2014: 32 · 2013: 37 · 2012: 35
- FWCI
- 32.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Advertising (publishedVersion)
- Funders
- American Academy of Advertising
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- pop-up ads, forced exposure, reactance, perceived intrusiveness, advertising avoidance, irritation, online advertising, cognitive load, interactive environments
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review