Detecting Transaction-based Tax Evasion Activities on Social Media Platforms Using Multi-modal Deep Neural Networks

TL;DR

This paper introduces a multi-modal deep learning tool that detects transaction-based tax evasion activities on social media platforms, leveraging comments, hashtags, and images to assist tax authorities in identifying suspicious activities efficiently.

Contribution

It presents a novel multi-modal neural network model trained on a large dataset to automatically identify tax evasion activities on social media, outperforming single modality approaches.

Findings

Achieved an AUC of 0.808 in detection accuracy.

F1 score of 0.762 indicating high precision and recall.

Multi-modal approach outperforms single modality models.

Abstract

Social media platforms now serve billions of users by providing convenient means of communication, content sharing and even payment between different users. Due to such convenient and anarchic nature, they have also been used rampantly to promote and conduct business activities between unregistered market participants without paying taxes. Tax authorities worldwide face difficulties in regulating these hidden economy activities by traditional regulatory means. This paper presents a machine learning based Regtech tool for international tax authorities to detect transaction-based tax evasion activities on social media platforms. To build such a tool, we collected a dataset of 58,660 Instagram posts and manually labelled 2,081 sampled posts with multiple properties related to transaction-based tax evasion activities. Based on the dataset, we developed a multi-modal deep neural network to automatically detect suspicious posts. The proposed model combines comments, hashtags and image modalities to produce the final output. As shown by our experiments, the combined model achieved an AUC of 0.808 and F1 score of 0.762, outperforming any single modality models. This tool could help tax authorities to identify audit targets in an efficient and effective manner, and combat social e-commerce tax evasion in scale.