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IAI to develop Socio-computational Methods to Detect and Predict Bot Activity in Naval Information Environments

Social bots are automated systems, used to post information, hijack accounts, and automatically post to social media. These bots can influence and manipulate users of social media by spreading messages or misinformation. Though several bot detection systems and crowdsourcing efforts have been developed, no systematic approach exists to effectively detect and predict bot activities. IAI and its collaborators at the University of Arkansas are working to theorize methods to understand the behavior of social bots, investigate explanatory variables and their predictive value, and collect crowdsourced test data for bot detection. Predictive socio-computational models will be developed to detect bot activity by exploiting context, temporal, and network features of social media users. Bot Detection Algorithms will be developed to distinguish Bots, Bot Groups, and coordinated Bot Behavior by using additional machine learning techniques and cross-analytics. These algorithms will be capable of identifying top propaganda disseminators and polarizers while extracting influential coordination structures among bots. Adaptive machine learning will efficiently refine the models as bot behaviors and the social media landscape changes over time. The uncertainty of analytical results will be computed and interactive visualization will help analysts to drill down and filter results. The models and algorithms will be integrated into Scraawl®, IAI’s social media analytics tool, which will collect data and provide search, visualization, and advanced analytics capabilities, as a Service or DSaaS framework.

About IAI:
Intelligent Automation, Inc. (IAI) is a technology innovation company headquartered in Rockville, MD. We specialize in providing advanced technology solutions and R&D services to federal agencies, and corporations throughout the United States and internationally. Leveraging agile R&D processes, a multi-disciplinary collaborative environment, and its substantial intellectual property portfolio, IAI excels in developing concepts into market-focused products and customer-driven solutions. IAI’s core R&D areas include: Air Traffic Management, Big Data and Social Media Analytics, Control and Signal Processing, Cyber Security, Education and Training Technologies, Health Technologies, Modeling and Simulation, Networks and Communications, Robotics, and Sensor Systems. For more information on IAI, please visit

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