Research Article
Combating Financial Misinformation: A Blockchain and NLP based detection system
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357806, author={Lavanya Thota and Jaswitha Jetti and Parimala Garnepudi}, title={Combating Financial Misinformation: A Blockchain and NLP based detection system}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={blockchain fake news deep learning ai misinformation detection proof-of-work bidirectional lstm immutable records decentralized systems media monitoring}, doi={10.4108/eai.28-4-2025.2357806} }- Lavanya Thota
Jaswitha Jetti
Parimala Garnepudi
Year: 2025
Combating Financial Misinformation: A Blockchain and NLP based detection system
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357806
Abstract
This paper presents a new approach for detecting and tracking false news by integrating blockchain and deep learning techniques. With the increase of fake news in digital media, genuine news validation is very vital. Here we propose a method that leverages a deep learning model designed with a Bidirectional Long Short-Term Memory Network (LSTM) to classify news as trustworthy or not. The predictions are secured on a blockchain for the sake of accuracy and transparency. Platform is based on Proof-Of-Work consensus to operate in a decentralized manner and provides web interface for user convenience. Our experiments demonstrate over 90% accuracy of news prediction of being reliable vs unreliable. Furthermore, the blockchain takes care of immutable prediction records so the information and the data is not compromised anymore. The system suggested is evaluated with various criteria and is advocated to be applied in the real-world requirements of media monitoring and policy taking.
