Cognitive Security

Machine Intelligence to Detect, Characterise, and Defend against Influence Operations in the Information Environment

Abstract:

Deceptive content—misleading, falsified, and fabricated—is routinely created and spread online with the intent to create confusion and widen political and social divides. This study presents a comprehensive overview of content intelligence capabilities (WatchOwl– https://watchowl. pnnl.gov/) to detect, describe, and defend against information operations on Twitter as an example social platform to explain the influence of misleading content diffusion and enable those charged with defending against such manipulation and responsive parties to counter it. We first present deep learning models for misinformation and disinformation detection in multilingual and multimodal settings followed by psycho-linguistic analysis across broad deception categories. 

Published In

Volume 20, Issue 2

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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