HKML: A Novel Opinion Dynamics Hegselmann-Krause Model with Media Literacy

Hegselmann-Krause model plays an important role in opinion dynamics. Many researchers try to improve the classic Hegselmann-Krause model from different aspects. However, the influence of agents' media literacy on the opinion evolution always have not been taken into consideration. Due to the differences in accessing, analyzing, and producing information between agents, the media literacy gap will evidently affect their communication in real life. In this paper, media literacy is introduced to improve the traditional HK model, and a novel opinion dynamics Hegselmann-Krause model with Media Literacy (HKML) is proposed. In our work we not only consider the confidence bound, but also consider the media literacy of agents. Agents under the HKML model can select and communicate with influential neighbors through a more accuracy criterion. Numerical simulation results demonstrate that the HKML model breaks through the limit of the confidence bound, which makes more communication with less convergence time. Moreover, the HKML model shows strong robustness with the environmental noise.