A Research On The Anomie Of Internet News Media Report Driven By Benefits

The change of media technology has subverted the traditional news dissemination pattern,and the new way of disseminating news through the Internet is in the ascendant.However,the unsolved problems of anomie in news report in the past have now intensified on the Internet,which affect the modern network news dissemination environment like a chronic disease.In this context,it has become the focus of this study to summarize the existing network news media report anomie phenomenon and make a scientific attribution to it,thus to achieve the purpose of controlling the network news media report anomie problem from the source,optimizing the network news dissemination environment,and presenting to the public with true news.In order to achieve this purpose,the relevant research literature will be sorted out in this paper,and on the basis of that,the related concepts of network news media reporting anomie will be elucidated.First,when concerning the problems of online news reporting anomie,it can be concluded into five misreporting behaviors in context and six misreporting behaviors in the actual conduction of news reporting.The five misreporting behaviors in context including repetition of reporting content,misusing of reporting words,alienation of reporting angle,irrelevance between the reporting text and the title,and infiltration of ideology,while the six misreporting behaviors in conduction including the loss of boundary,overload of information,inaccurate reporting,network news extortion,infringement and making judgment on media.Then,concerning the above eleven anomie behaviors,the attributions will be listed in this paper.They are the worship of interests on the platform,the weak supervision of legal institutions,the imbalance of the reconstruction of the media environment and the lack of literacy ability and sense of ethics of both journalists and users.Based on these findings,the hypothesis of “the driving force of network news reporting anomie lies in interest” is put forward,and it can be further divided into four specific hypotheses concerning advertising benefits and attention economy.After the development of control standard of the hypotheses,the method of content analysis is used for empirical research.In the process of empirical research,through big data crawler,the samples of news data from three PGC network news platforms and three UGC news platforms during the period from September 27 th to December 27 th,2019are collected by Web Crawler.The three PGC platforms including Phoenix News,Tencent News,and Sina News,and the three UGC news platforms are Jinri Toutiao,Interface News,and Wechat Official Account.Besides,Python and Gephi complex semantic network software are used for high-frequency brand word frequency statistics,the frequency statistics and word meaning co-occurrence processing on network of high-frequency words,and analysis and comparison of hypothetical standards.The following problems are found out in the research.On the one hand,there are a large number of advertisements both on PGC platforms and UGC platforms to achieve profits that did not conform to the specification.Besides,there are differences in advertising distribution and effect between the two kinds of platforms.On the other hand,PGC platforms and UGC platforms report rich topics and widespread anomie.High-frequency reporting topics that report anomie behaviors on both of them can attract the attention of users,which can be turned into high network flow to help the platforms to benefit.And differences exist in the needs,tendency and anomie behaviors of high-frequency reporting topics that attract users' attention between the two kinds of platforms.Finally,based on the empirical research results,the research conclusions are made in this essay.Sticking to the key word “interests”,some effective suggestions to government,platform,users and companies are put forward.