| Under the background of the new era,the network has become the main battlefield of ideological struggle.In order to seize the initiative and win the war,we must do our own ideological education well and enhance the effectiveness of network ideological and political education.Discourse is a necessary condition for the smooth development of network ideological and political education.Therefore,it is of great significance to strengthen the research on discourse affinity of network ideological and political education to improve the effectiveness of network ideological and political education.The study of discourse affinity in network ideological and political education mainly starts from four aspects: theoretical definition,concrete manifestation of discourse affinity loss,cause analysis and improvement path.And collection of first,in the basis of relevant research literature at home and abroad,the affinity of discourse,discourse network ideological and political education and network ideological and political education discourse expounds the connotation of affinity,analysis of network ideological and political education discourse mainly by affinity word content,word form,way of discourse and discourse context four elements.Secondly,through sorting out and summarizing relevant researches,it is found that the discourse of online ideological and political education has the problem of lack of affinity,which is embodied in the following aspects: the content of discourse lacks appeal,the way of discourse lacks appeal,and the inter discourse lacks affinity.Thirdly,the reasons for the lack of affinity are analyzed from four aspects: network characteristics,educators,educational objects and discourse context.Finally,the paper explores the path to improve the affinity of network ideological and political education discourse,and thinks that efforts should be made from four aspects:effective interaction of the subjects of network ideological and political education,enrichment of discourse content,innovation of discourse way,and optimization of discourse context to improve affinity. |
