Systematic review analyzes AI and NLP innovations in finance using social media data, highlighting ethical implications.
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.
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Ahmed et al. (2026) studied this question.
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