Data · dataset · 2026
Selling Privacy: Ethical and Legal Implications of Personal Data Use in AI Marketing
Listed in Teesside University Research Data Repository
Artificial intelligence has revolutionized digital marketing by facilitating the mass extraction and monetization of personal information, resulting in an ethical and legal conundrum between profitable marketing practice and individual privacy.
Description
This research paper seeks to highlight some of the ethical issues, legal hurdles, and gaps in research that remain when personal data is commercialized in AI-powered digital marketing.
The PRISMA 2020 methodology was applied to search and select 15 peer reviewed journal articles from the Scopus database, published within the time frame 2021 - 2026. Thematic synthesis produced four themes: (1) a persistent privacy paradox where consumers express concern about data use yet continue sharing it because platform architectures make the cost of disclosure feel abstract, (2) a fragmented regulatory landscape where overlapping frameworks create compliance confusion rather than consumer protection, (3) emerging evidence that ethical compliance positively predicts marketing campaign success, and (4) bibliometric evidence that the field remains tilted toward technical optimization at the expense of governance and ethics research.
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These findings carry practical implications for firms, policymakers, and regulators, particularly in emerging digital economies such as Indonesia where regulatory capacity has not kept pace with the speed of AI adoption in commercial practice.
Links
Where it is published
- DOI doi.org/10.17632/9d5vyz6v98.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/9d5vyz6v98.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |