Search Results for author: Steven T. Smith

Found 5 papers, 1 papers with code

Exposing the Obscured Influence of State-Controlled Media: A Causal Estimation of Influence Between Media Outlets Via Quotation Propagation

no code implementations16 Jan 2022 Joseph Schlessinger, Richard Bennet, Jacob Coakwell, Steven T. Smith, Edward K. Kao

This study quantifies influence between media outlets by applying a novel methodology that uses causal effect estimation on networks and transformer language models.

Automatic Detection of Influential Actors in Disinformation Networks

1 code implementation21 May 2020 Steven T. Smith, Edward K. Kao, Erika D. Mackin, Danelle C. Shah, Olga Simek, Donald B. Rubin

The weaponization of digital communications and social media to conduct disinformation campaigns at immense scale, speed, and reach presents new challenges to identify and counter hostile influence operations (IOs).

Causal Inference

Geodesically parameterized covariance estimation

no code implementations6 Jan 2020 Antoni Musolas, Steven T. Smith, Youssef Marzouk

We consider instead a differential geometric interpretation of this problem: minimizing the geodesic distance to a sample covariance matrix ("natural projection").

Computation Differential Geometry

Bayesian Discovery of Threat Networks

no code implementations21 Nov 2013 Steven T. Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein, Scott Philips

A link to well-known spectral detection methods is provided, and the equivalence of the random walk and harmonic solutions to the Bayesian formulation is proven.

Network Detection Theory and Performance

no code implementations22 Mar 2013 Steven T. Smith, Kenneth D. Senne, Scott Philips, Edward K. Kao, Garrett Bernstein

The specific problem of network discovery is addressed as a special case of graph partitioning in which membership in a small subgraph of interest must be determined.

Community Detection graph partitioning

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