# FinTech for Social Good: A Research Agenda from NLP Perspective

arXiv: https://arxiv.org/abs/2211.06431 · HTML: https://mlsanity.com/paper/2211.06431/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 10 of its 34 references that are in the map.
- First posted on arXiv 13 Nov 2022.

## Builds on (most cited first, 10 of 10)

- [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://mlsanity.com/paper/1908.10063/) (2019)
- [Diachronic Embedding for Temporal Knowledge Graph Completion](https://mlsanity.com/paper/1907.03143/) (2019)
- [Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?](https://mlsanity.com/paper/2005.13213/) (2020)
- [How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact](https://mlsanity.com/paper/2106.02359/) (2021)
- [A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions](https://mlsanity.com/paper/2205.01094/) (2022)
- [Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models](https://mlsanity.com/paper/1702.01978/) (2017)
- [Are You for Real? Detecting Identity Fraud via Dialogue Interactions](https://mlsanity.com/paper/1908.06820/) (2019)
- [Measuring Forecasting Skill from Text](https://mlsanity.com/paper/2006.07425/) (2020)
- [NLP in FinTech Applications: Past, Present and Future](https://mlsanity.com/paper/2005.01320/) (2020)
- [Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models](https://mlsanity.com/paper/2206.06320/) (2022)

## Built on by (most cited first, 1 of 1)

- [Measuring Consistency in Text-based Financial Forecasting Models](https://mlsanity.com/paper/2305.08524/) (2023)

## Abstract (arXiv)

Making our research results positively impact on society and environment is one of the goals our community has been pursuing recently. Although financial technology (FinTech) is one of the popular application fields, we notice that there is no discussion on how NLP can help in FinTech for the social good. When mentioning FinTech for social good, people are talking about financial inclusion and green finance. However, the role of NLP in these directions only gets limited discussions. To fill this gap, this paper shares our idea of how we can use NLP in FinTech for social good. We hope readers can rethink the relationship between finance and NLP based on our sharing, and further join us in improving the financial literacy of individual investors and improving the supports for impact investment.