Real-time disinformation response
Background
We start by demystifying information threats based on key parameters, such as actors, narratives, targets, topics, geographies, channels, techniques.
This is then cross-referenced with data from thousands of empirical experiments on comparable threats to survey evidence. Analysis of this data by in-house experts and AI inform optimal intervention design and implementation considerations.
We then run multivariate testing and multi-armed bandits based on the analysis to iterate and optimise over time.
Case Study
The Problem
Our Solutions
Related Insights
14/02/25
Can AI cause a bank run?
Say No to Disinfo and Fenimore Harper Communications simulated an AI-powered disinformation campaign, with the goal of causing a bank run in the United Kingdom.
17/07/23
How does disinformation affect the financial sector?
What is the impact of mis/disinformation on the financial sector? How can this be effectively countered?