Education as the Engine of Inequality: How AI-Driven Algorithms Amplify the Information Gap Between Different Demographic Groups

DOI

10.2991/978-2-38476-609-3_37How to use a DOI?

Keywords

Information Gap; AI-Driven Algorithms; Digital Divide; Education; Self-Efficacy

Abstract

As AI-based recommendations have become increasingly ubiquitous on social platforms and people have been paying closer attention to the uneven spread of information among various groups. This study aims to answer the following four issues: What are the main reasons for an increasing degree of information asymmetry caused by artificial intelligence-driven algorithmic systems across different levels and social backgrounds’? By combining DOI theory with the digital divide model, the knowledge gap framework and algorithmic mechanisms analysis for education’s role in creating information disparities (disagreement) through a thorough review of related papers. The key outcome of this study is the construction of a seven-step analytical framework: Socio-economic-Efficacy-Algorithmic Amplification chain (SEAAC), that describes how an individual’s education foundation links to platform efficiency, behavior adjustment, algorithmic amplifying effect and resulting consequences, and these in turn strengthen original unfairness. This framework shows both the existence and creation of persistent inequalities in education by algorithmic systems based on informationally reinforced disadvantages. Practical value includes targeted digital literacy training, algorithmic transparency rules and fairness-aware platform construction.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chutong Xu
PY  - 2026
DA  - 2026/09/04
TI  - Education as the Engine of Inequality: How AI-Driven Algorithms Amplify the Information Gap Between Different Demographic Groups
BT  - Proceedings of the 2026 3rd International Conference on Public Relations and Media Communication (PRMC 2026)
PB  - Atlantis Press
SP  - 333
EP  - 344
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-609-3_37
DO  - 10.2991/978-2-38476-609-3_37
ID  - Xu2026
ER  -