To use or not to use ad blockers? The roles of knowledge of ad blockers and attitude toward online advertising
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The only two papers we found that used data from actual advertising campaigns with LA were Akers and Gordon [104] and Kovčo et al. [94].
“The only two papers we found that used data from actual advertising campaigns with LA were Akers and Gordon [104] and Kovčo et al. [94].”
From Computer Estimation of Customer Similarity With Facebook Lookalikes: Advantages and Disadvantages of Hyper-Targeting (2019) · cites this paper as [94]
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- Authors
- Redondo, I., & Aznar, G.
- Affiliations
- Universidad Autónoma de Madrid (ES)
- Universidad San Pablo CEU (ES)
- Corresponding author
- Redondo, Ignacio
- Venue
- Telematics and Informatics
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 35
- Issue
- 6
- Pages
- 1607-1616
- ISSN
- 0736-5853 (ISSN-L)
- OpenAlex
- W2800781949
- Cited by
- 80
- References
- 59
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 12 · 2023: 13 · 2022: 1 · 2021: 10 · 2020: 19 · 2019: 8 · 2018: 2
- FWCI
- 22.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Telematics and Informatics (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (acceptedVersion, other-oa)
- Hispana (submittedVersion)
- Biblos-e Archivo (Universidad Autónoma de Madrid) (submittedVersion, public-domain)
- Funders
- AIMC
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- ad blockers, online advertising, consumer attitudes toward advertising, technology adoption, perceived intrusiveness, ad credibility
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 ›
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