The Veracity Problem: Detecting False Information and its Propagation on Online Social Media Networks

TL;DR

This paper addresses the challenge of detecting false information on social media by proposing a multi-faceted ensemble framework, actor intent analysis, and cross-platform propagation study to improve detection accuracy and understanding.

Contribution

It introduces a comprehensive ensemble approach, actor intent detection, and a new cross-platform dataset to advance false information detection methods.

Findings

Proposes a multi-faceted ensemble framework for false information detection

Develops methods to identify coordinated actors and their intent

Creates a new dataset for cross-platform false information analysis

Abstract

Detecting false information on social media is critical in mitigating its negative societal impacts. To reduce the propagation of false information, automated detection provide scalable, unbiased, and cost-effective methods. However, there are three potential research areas identified which once solved improve detection. First, current AI-based solutions often provide a uni-dimensional analysis on a complex, multi-dimensional issue, with solutions differing based on the features used. Furthermore, these methods do not account for the temporal and dynamic changes observed within the document's life cycle. Second, there has been little research on the detection of coordinated information campaigns and in understanding the intent of the actors and the campaign. Thirdly, there is a lack of consideration of cross-platform analysis, with existing datasets focusing on a single platform, such as X, and detection models designed for specific platform. This work aims to develop methods for effective detection of false information and its propagation. To this end, firstly we aim to propose the creation of an ensemble multi-faceted framework that leverages multiple aspects of false information. Secondly, we propose a method to identify actors and their intent when working in coordination to manipulate a narrative. Thirdly, we aim to analyse the impact of cross-platform interactions on the propagation of false information via the creation of a new dataset.