考虑竞争传播的社交网络虚假信息反转研究

Research on Disinformation Reversal in Social Networks Considering Competitive Propagation

[目的/意义]社交网络虚假信息反转现象频繁发生,研究其反转规律与特点,可以有效避免社交网络虚假信息演化失控造成的社会失序。[方法/过程]将传染病动力学模型和观点动力学模型相结合,构建了考虑竞争传播的SIR-HK社交网络虚假信息反转模型,并爬取“高考答题卡疑被掉包”实证数据验证模型有效性,进而通过数值仿真揭示社交网络虚假信息反转规律。[结果/结论]虚假信息出现将扩大感染者的规模、延长信息传播弛豫时间,并导致感染者所传播观点反转;真相信息出现时间会影响参与信息传播的感染者数量与观点反转过程;较低可信度的信息将影响主体对后续信息的信任。

[Purpose/Significance]The phenomenon of disinformation reversal on social networks occurs frequently.Studying the reversal law and characteristics can effectively avoid the social disorder caused by the runaway evolution of public opinion on social networks.[Method/Process]Combining the disease dynamics model and the opinion dynamics model, the SIR-HK social network disinformation reversal model was constructed considering competitive propagation, and the empirical data of the“college entrance examination question card suspected of being swapped”event was collected to verify the effectiveness of the model.Besides, the law of disinformation reversal in social networks was revealed through numerical simulation.[Result/Conclusion]The appearance of disinformation will expand the scale of infected people, prolong the relaxation time of information transmission, and lead to the reversal of views spread by infected people.Moreover, the occurrence time of truth information will affect the number of infected people and the process of opinion reversal.What’s more, the information with low credibility will affect the trust of the subject to the subsequent information.