Abstract
We develop an agent-based model of a Twitter environment to simulate using social-cyber (BEND) maneuvers to deter a disinformation campaign. We explore the use of the network maneuvers of back, build, and neutralize to manipulate the network and the information maneuvers of excite, dismay, explain, and dismiss to control the narrative. Using belief as a measure of effectiveness, we explore the changes in user behavior and the resulting network. We demonstrate that build is the most effective network maneuver countermeasure for deterrence. The results also show that affecting a tweet’s emotional and logical values through information maneuvers effectively controls the overall network belief.
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Acknowledgements
The research for this paper was supported in part by the Office of Naval Research (ONR) under grant N00014182106, the Knight Foundation, the United States Army, and by the center for Informed Democracy and Social-cybersecurity (IDeaS). The views and conclusions are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Knight Foundation, the ONR, the United States Army, or the US Government.
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Blane, J.T., Moffitt, J.D., Carley, K.M. (2021). Simulating Social-Cyber Maneuvers to Deter Disinformation Campaigns. In: Thomson, R., Hussain, M.N., Dancy, C., Pyke, A. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2021. Lecture Notes in Computer Science(), vol 12720. Springer, Cham. https://doi.org/10.1007/978-3-030-80387-2_15
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