Abstract
We consider an agent-based model to explore the mechanism behind the diffusion of low- and high-quality information in online social networks. In particular, we investigate how agents with heterogeneous criteria of quality affect the spread of low-quality information. We also propose a simple method for enhancing the spread of high-quality information without hindering the system’s information diversity. Our results show that the proposed solution mitigates the influence of malicious agents on the overall system’s quality, and also show how it controls low-quality information in the presence of agents with heterogeneous criteria of information’s quality assessment.
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Acknowledgements
The research was supported by ARL through ARO Grant W911NF-16-1-0524 and was accomplished under Cooperative Agreement Number W911NF-18-2-0066. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.
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Cisneros-Velarde, P., Oliveira, D.F.M., Chan, K.S. (2019). Spread and Control of Misinformation with Heterogeneous Agents. In: Cornelius, S., Granell Martorell, C., Gómez-Gardeñes, J., Gonçalves, B. (eds) Complex Networks X. CompleNet 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-14459-3_6
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