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Study of the Influence of WeMedia Economic Profit Behavior on the Internet Public Opinion Generation

摘要


In recent years, Internet public opinion events have brought great challenges to social governance, and the important driving force for the generation of Internet public opinion events is We Media. This paper analyzes the main driving force for We Media publishing Internet public opinion events, which is that We Media can obtain certain economic benefits by publishing Internet public opinion events. There are three main ways for We Media to obtain economic benefits, namely platform sharing, personal ads and live commerce. Based on these three profit ways, this paper proposes that adjusting the profit ways of We Media can affect Internet public opinion generation and help relevant institutions deal with Internet public opinion.

參考文獻


Y Zhang: Urban rail transit passenger flow short-term prediction method based on deep learning [D]. Lanzhou Jiaotong University, 2021.
H Cheng, X Xu : Short term prediction of rail passenger flow based on BP neural network [J]. Electronic technology and software engineering, 2016 (22): 15-16.
L Z Wang, C K Zhu: Short term prediction of rail transit passenger flow based on LM-BP algorithm [J]. Value engineering, 2018,37 (3): 154-156.
J Li, Q Y Peng, C Wen, et al: Research on short-term passenger flow prediction of high-speed railway based on LSTM deep neural network [J]. System engineering theory and practice, 2021,41 (10): 2669-2682.
B S He, Y J Zhu: Short term passenger flow prediction method of high-speed railway station based on spatio-temporal map neural network [J]. Journal of Railway: 1-10.