https://www.darpa.mil/news-events/2021-09-02
Research teams will work to develop automated tools to aid analysts in detecting, characterizing, and tracking geopolitical influence campaigns online
“The U.S. is engaged with its adversaries in an asymmetric, continual war of weaponized influence narratives,” said Brian Kettler, the Information Innovation Office (I2O) program manager leading INCAS. “The combination of connectivity and modern media has greatly amplified the potential effects of geopolitical influence campaigns on populations.
INCAS aims to provide analysts with the ability to detect, characterize, and track geopolitical influence campaigns across multiple languages and platforms with confidence. The program plans to take on this technical research challenge across five research areas. The first is focused on the development of tools that enable analysts to directly and automatically detect implicit and explicit indicators of geopolitical influence in multilingual online messaging. Research teams working in this technical area will be led by SIFT, Protagonist Technology, and University of Southern California ISI.
a second group of researchers will work to develop tools that dynamically segment the responding population and identify psychographic attributes relevant to geopolitical influence. Psychographic attributes, such as worldviews, morals, and values, are hypothesized to correlate more strongly with geopolitical influence response than the personality and demographic attributes used for marketing.
The third research area will focus on the development of analyst-guided influence campaign modeling tools that accelerate analysts’ ability to detect and link influence indicators and messaging with population response over time and across multiple platforms.
Under the fourth research area, Lockheed Martin Advanced Technology Laboratories was selected to develop a testbed as well as provide social media messaging and other data feeds that the research teams can use to develop and evaluate their INCAS tools.
Finally, University of Maryland ARLIS will work to design and conduct technology evaluations, develop ground truth evaluation data for program scenarios, manage a multidisciplinary group of subject matter experts, and support transition evaluation efforts under the fifth research area.