no code implementations • 16 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.
1 code implementation • 21 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).
no code implementations • 21 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.
no code implementations • 22 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.