Work

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

Year: 2026

Type: review

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.

Source: Discover Computing

DOI: 10.1007/s10791-026-10318-3

Authors: Sajeel Ahmed, Abira Zaki, Nashat Almasria, Hassan Hamad Hasan Aldboush, Muhammad Raghib Zafar

Institutions: University of Bedfordshire, Iqra University, A'Sharqiyah University, Al-Balqa Applied University, Bahria University

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,520

OpenAlex ID: W7171376573