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A systematic review of Artificial Intelligence and Natural Language Processing applications in social media-based financial ecosystems

  • Sajeel Ahmed(corresponding author)
    ,
  • Abira Zaki
    ,
  • Nashat Almasria
    ,
  • Hassan Hamad Hasan Aldboush
    ,
  • Muhammad Raghib Zafar
*Corresponding author for this work
Research Output:
Contribution to journal
Review article
Peer-review

Open access

Abstract

This review is a critical analysis of 29 peer-reviewed articles that investigate the application of Artificial Intelligence (AI) and Natural Language Processing (NLP) innovations to transform financial decision-making using social media data. A systematic review and subsequent study selection was in connection with PRISMA scheme using relevancy to sentiment analysis, predictive modeling, fraud detection, and sustainability in financial ecosystems to select studies between 2021 and 2025. Using unstructured social media data, AI and NLP can greatly improve sentiment analysis, risk forecasting, and personalized financial services. Nevertheless, there are still fears of algorithmic secrecy, data bias, ethical responsibility, and privacy theft. The literature demands explainable AI (XAI), models that are fair, and solid governance structures that can guarantee transparency and trust. The review is a synthesis of developing evidence regarding the potential of AI-NLP to incorporate social media signals into finance to provide insights into sustainable, transparent, and ethical financial innovation.

Publication Information

Output type

Research Output:
Contribution to journal
Review article
Peer-review

Original language

English

Article number

476

Journal (Volume, Issue Number)

Discover Computing (Volume 29, Issue 1)

Publication milestones

  • E-pub ahead of print - 27/07/2026
  • Published - 27/07/2026

Publication status

Published - 27/07/2026

Publication IDs

  • Scopus: 105046120513