Role of propagation thresholds in sentiment-based model of opinion evolution with information diffusion

Si, Xia-Meng; Wang, Wendong; Ma, Yan

doi:10.1016/j.physa.2015.12.152

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…The benign intervention of an authority to refute a rumor can positively guide a network rumor event and help the sentiment of netizens quickly return to the normal level (Fig. 4) 48,49 . In addition, the results further verify that negative emotions are the main driving emotions of information dissemination.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A model and simulation of the emotional contagion of netizens in the process of rumor refutation

Zeng

Zhu²

2019

Sci Rep

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The emotional contagion of netizens is an important factor that accelerates the spread of rumors, and it is also key to the effectiveness of rumor refutation. Based on the existing emotional model, we improved the method for calculating the emotional value and the transformation rules to simulate how the infection transforms individual emotion to group emotion during rumor refutation. The results show that the cycle and trend of netizen emotional change vary by period, but the final distribution structure presents a relatively stable state. The factors that affect the emotional changes of netizens are mainly objective and subjective aspects, both of which can promote the evolution of emotional contagion. The objective aspect depends on the speed and credibility of the rumor, and the subjective aspect depends on the degree of intimacy between netizens. After rumor refutation, emotions generally change from negative emotions to positive or immune emotions.

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Section: Conclusion and Discussionmentioning

confidence: 99%