Information Interference in Ideological and Political Teaching in the Context of New Media:Models,Types and Controls
The transmission of ideological and political information is a crucial aspect of ideological and political teaching.Based on the Shennon-Weaver communication model,this study finds that the informa-tion interference model of ideological and political teaching in the context of new media has changed from the traditional"two-subject"model to the temporarily presented"multi-subject"model.According to the theory of information communication,the interference of ideological and political teaching in the context of new media can be divided into two major types:relative interference and absolute interference.The relative interference can be classified into three types:interference resulting from the distinct compilation purposes of ideological and political teaching information subjects,interference resulting from the varying compilation abilities of ideological and political teaching information subjects,and interference resulting from the obstruction of ideological and political teaching information channels.The absolute interference can be classified into two types:interference caused by the pollution of the ideological and political teaching information channel and interference caused by the audience being misled by false information.Information interference in ideological and political teaching under the new media environment is an inevitable occur-rence that cannot be completely eliminated.To address this issue,it is important to improve the quality of ideological and political teaching information transmission,optimize the teaching environment,enhance the information compilation and decoding ability of teachers,and establish a collaborative sharing informa-tion integration platform.Thus,the new media technology can be identified as one of the most effective means of transmitting ideological and political teaching information.
information interferencenew mediacourse of ideological and political theory
万方数据
维普
