The construction and application research of crisis early warning mechanism of reputation of colleges and universitie s in the new media environment

With the prosperity of new forms of media, the soci al environment of universities is increasingly comp lex. The change not only brings development opportunities fo r university, but also makes a number of uncertain factors increase rapidly, so that colleges and universities have to face more and more frequent reputation cri sis. To reduce the harm of crisis, it is particularly important to focus on pre-crisis warning system construction. C olleges and universities should spend a small amount of money oprevention, rather than on treatment. While the e literature on crisis early warning mechanism does ndiscuss deeply, this paper adopts the BP neural network method innovatively and uses new techniques such as data mining to research crisis early warning mecha nism of Reputation of colleges and universities in the new media environment. Besides, this paper take subordi nates MIIT universities as an example to make the analysis of the current construction of crisis early warning me chanism of reputation of colleges and universities status quo, so that it can make appropriate recommendations fo r improvement.