AI-Driven personalisation in social media marketing: Opportunities and ethical challenges

The integration of artificial intelligence (AI) in social media marketing has enabled new frontiers of personalisation, allowing brands to tailor content, advertising, and user experiences in real time based on behavioural, demographic, and psychographic data. This study synthesizes recent research on the applications, benefits, and ethical challenges of AI-driven personalisation within social media environments. It explores how AI facilitates consumer segmentation, dynamic content delivery, and influencer alignment, while also raising critical concerns related to privacy, algorithmic bias, transparency, manipulation, and user autonomy. The paper employs a thematic analysis to identify key opportunities such as enhanced engagement, operational efficiency, and predictive adaptation. It also examines the complex ethical implications emerging from algorithmic personalisation practices. The study concludes with a proposed research agenda and practical recommendations focused on ethical design, regulatory innovation, and user empowerment in the evolving landscape of AI-enabled marketing.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-15
DOI
https://doi.org/10.5281/zenodo.19660777
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Driven personalisation in social media marketing: Opportunities and ethical challenges

Konstantinos Milioris, Κωνσταντίνος Παπαγεωργίου
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

AI-Driven personalisation in social media marketing: Opportunities and ethical challenges

Konstantinos Milioris, Κωνσταντίνος Παπαγεωργίου
article en

Abstract

The integration of artificial intelligence (AI) in social media marketing has enabled new frontiers of personalisation, allowing brands to tailor content, advertising, and user experiences in real time based on behavioural, demographic, and psychographic data. This study synthesizes recent research on the applications, benefits, and ethical challenges of AI-driven personalisation within social media environments. It explores how AI facilitates consumer segmentation, dynamic content delivery, and influencer alignment, while also raising critical concerns related to privacy, algorithmic bias, transparency, manipulation, and user autonomy. The paper employs a thematic analysis to identify key opportunities such as enhanced engagement, operational efficiency, and predictive adaptation. It also examines the complex ethical implications emerging from algorithmic personalisation practices. The study concludes with a proposed research agenda and practical recommendations focused on ethical design, regulatory innovation, and user empowerment in the evolving landscape of AI-enabled marketing.

Zenodo (CERN European Organization for Nuclear Research)
University of West Attica (GR)
Openalex Percentile: Top 8%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.