一种推荐模式下的谣言传播模型

A rumor propagation model in the context of recommendation

随着信息传播方式的改变,通过信息推荐平台的谣言信息传播成为了谣言传播的重要方式,构建推荐模式下的谣言传播模型对网络谣言的治理具有积极作用。考虑到推荐机制对用户的分割效应,在谣言传播过程中根据人物相似性将网络用户划分在不同的传播域,定义了传播域中用户与信息的交互方式,提出了一种基于谣言信息热度和平台用户密度的谣言传播模型,并对影响谣言信息传播的因素进行了仿真分析。通过仿真发现:在推荐机制下,人们对信息的接受率主要是受信息本身影响;在推荐平台上,增大谣言信息传播阈值有利于阻止谣言的传播;谣言的接受率越大,对辟谣信息的加入时间要求越高。

With the change of the way of information transmission,rumor information transmission based on recommendation platform has become an important way of rumor transmission.The construction of rumor transmission model based on recommendation mechanism plays a positive role in the governance of Internet rumor.Considering the segmentation effect of recommendation mechanism on users,the concept of propagation domain was proposed in the process of rumor propagation,the interaction mode between users and information in the propagation domain was defined,and a rumor propagation model based on rumor information heat and platform user density was proposed.The factors that influence the spread of rumor information were simulated and analyzed.It was found that under the recommendation mechanism,people′s acceptance rate of information is mainly affected by the information itself;on the recommendation platform,increasing the threshold of rumor information dissemination is beneficial to prevent the spread of rumors;the greater the acceptance rate of rumors,the higher the time requirement for the rumors refuting information.