With social media platforms representing one of the main conduits for adversarial propaganda, researchers are examining how information spreads across the digital environment and how it spills into action outside of the online presence. A recent breakthrough in sentiment analysis-with an algorithm that can detect sarcasm- from the University of Central Florida as part of the Defense Advanced Research Projects Agency's SocialSim project, aids in this understanding and in defense. Researchers are employing neural networks, machine learning and social media data sets to conduct basic research on developing of possible solutions to counter information warfare. The proliferation of information warfare against the United States has created a great need for counter capabilities to protect against adversarial interference.
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