Support United States Marine Corps Open Source Intelligence and Information Operations Efforts
Abstract
The proposed research aims to integrate and extend understanding of online factions, thebehavior of large negative word"" of mouth social media campaigns (a.k.a. Firestorms), and how online networks moderate traditional social-psychology principles affe""cting social conformity, norm formation, and social proof. We will combine these theories into an empirically supported theory of in""tegrated online-offline social mobilization, activism, and political violence. We propose to develop new tactics and procedures for"" identifying online factions, and modeling their dynamic behavior using social media. This work will employ a combination of statis""tical reasoning on bi-partite networks (actors-and-topics, actors-and-activities), machine learning (sentiment/emotion, image), and" graph algorithms all designed for the kind of dense dynamic networks extractable from media. Multidisciplinary research from polit"ical science, social psychology, and organizational dynamics will bound the overall process. This work shall be available for public" release.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 29, 2017
- Source ID
- N000141712981
Entities
People
- Ian Mcculloh
Organizations
- Johns Hopkins University
- Office of Naval Research
- United States Navy