<p style='text-indent:20px;'>Social media marketing is the mainstream marketing method. Before the launch of a new product, the company will advertise on social platforms. A major problem is how to reasonably arrange KOL (Key Opinion Leader) for advertising promotion in order to achieve the results that the company wants. At this time, KOL selection optimization is an effective method to make the best advertising promotion decision for decision-makers. In addition, the uncertainty in advertising promotion has brought challenges for KOL selection. Therefore, in the absence of historical promotion data, this paper solves the uncertainty of advertising promotion in social media marketing. Taking MCN (Multi-Channel-Network) as the decision maker, maximizing the advertising promotion effect as the goal, considering a variety of realistic constraints and uncertain factors in advertising promotion, the optimal allocation of KOL in advertising promotion is realized by constructing an uncertain chance-constrained programming model. Then, by solving the clear form of the model, the optimal solution of the model is obtained. Finally, the effectiveness of the model is verified by numerical examples, and the effects of KOL selection diversification and advertising video circulation on advertising promotion are discussed, which provides decision support for decision-makers.</p>

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It is the key factor to restrain rumor spreading, purify the environment of network and promote network harmony that deep studying the rumor spreading. The paper first discussed the serious harmfulness of rumor spreading to society. Then, from the social media types, model research methods, model structure, research theory and whether the relationship considered the trust, the paper made the classified research and discussion of the network dissemination; finally, the paper made a prospect of the future research of rumor spreading and put forward some further research ideas.

<p style='text-indent:20px;'>Rumor is a kind of abnormal information, which spreads faster than normal information, and has high transmission intensity. The existing rumor spreading formulas give an explanation of rumor spreading intensity. However, there has been a lack of corresponding research on how to measure. This paper presents a method. Firstly, the rumor spreading formula is combed and commented, and the important influencing factors in the process of rumor spreading are extracted. Secondly, the influencing factors of rumor information dissemination are analyzed, and an uncertain evaluation index list of network rumor intensity is constructed, and the dissemination intensity of rumor information is measured based on uncertain comprehensive evaluation. Finally, the effectiveness of the application of the evaluation model is verified by a numerical example, and operational policy suggestions are given according to the analysis of the results.</p>