AI Fintech: Find Out the Truth

Abstract

We propose one example of application that could have a large impact on our economies: the use of artificial agents to reproduce dynamics, case study the spreading of fake news. It is known that a large number of applications (some described here) are dedicated to investing in financial markets by observing the prevailing trends, often carrying out operations at very high speed. These applications often cause problems by accelerating downtrends irrationally. The markets are running for cover against this type of problem. But automatic traders are emerging who are able to evaluate not the trends but directly the news that alone is at the origin of the trends themselves. This poses the following problem: if cultural diffusion (in this case news, but it could be posts on social networks, little changes) is made problematic by the appearance of ‘fake.news’, how can we be calm about the functioning of our automatic traders? Here we propose a completely new approach to this problem, which makes use of a widespread AI technology, artificial agents. These agents reproduce the phenomenon of spreading fake news and give indications on how to fight it (Chen and Freire in Discovering and measuring malicious URL redirection campaigns from fake news domains, pp. 1–6, 2021; Garg et al. in Replaying archived twitter: when your bird is broken, will it bring you down? pp. 160–169, 2021; Mahesh et al. in Identification of Fake News Using Deep Learning Architecture, pp. 1246–1253, 2021).