Causal Inference on Networks to Characterize Disinformation Narrative Propagation

Causal Inference on Networks to Characterize Disinformation Narrative Propagation

Explore causal inference techniques for analyzing disinformation propagation on networks in this IEEE Signal Processing Society webinar. Delve into the challenges of detecting bots and constructing accurate network representations. Learn about influence scoring methods, potential outcome models, and data collection strategies for studying covert disinformation campaigns. Examine the impact of social media platforms and network structures on narrative spread. Gain insights into applications for countering misinformation, including time-scale considerations and comparisons to weather prediction. Engage with expert discussions on technical aspects and the role of social media companies in addressing disinformation.