Multi-platform collaborative new media content monitoring management system based on big data

Abstract

The invention relates to a multi-platform collaborative new media content monitoring management system based on big data. The multi-platform collaborative new media content monitoring management system comprises a user terminal and a detection cloud platform. The detection cloud platform comprises a comment analysis module, an emotion analysis module, a relation construction module, a content verification module and a news rating module. The detection cloud platform obtains first comment information and second comment information of each social user according to the comment content published by each social user, the relation construction module obtains the comment relevancy between the social users on the basis of the first comment information and the second comment information and constructs corresponding association topological graphs for the different social users; the content verification module is used for recognizing focus content of the news content on the basis of the association topological graphs and the deep semantic features of the social users and verifying whether the focus content is false news content or not; and the news rating module is used for rating the influence of the false news content based on the user influence of the media user and the forwarding data and the browsing data of the false news content.

Description

[0001] technology neighborhood [0002] The invention relates to the field of new media data analysis, in particular to a multi-platform collaborative new media content monitoring and management system based on big data. Background technique [0003] As a fast-spreading and widely-influencing information source, new media content will have a huge impact on people's cognition and attitude. In recent years, due to the rapid development of communication technology, the generation and dissemination of false media content has been encouraged. False media content will not only weaken the credibility of the media, but may also endanger political and economic fields, causing adverse social impacts and economic losses, disrupting social order, and affecting people's normal life. [0004] The management and control of traditional media content mainly relies on users’ spontaneous reports and staff’s manual review, which consumes a lot of manpower, and such monitoring methods have a stro...

AI Technical Summary

Problems solved by technology

False media content will not only weaken the credibility of the media, but may also endanger political and economic fields, causing adverse social impacts and economic losses, disrupting social order, and affecting people's normal life

[0004] The management and control of traditional media content mainly relies on users’ spontaneous reports and staff’s manual review, which consumes a lot of manpower, and such monitoring methods have a strong lag. Usually, the false information reported has been spread for a period of time, and has caused A certain impact, the recognition efficiency is not high

Moreover, since the media content contains a large amount of content, the commonly used artificial intelligence identification method falsely identifies the media content by extracting the entire article sequence, making it difficult to focus on the problematic part of the media content, which increases the complexity of identifying false media content and The amount of data extracted at the time of recognition

At the same time, the relevant departments lack scientific management methods for the detected false media content, and it is difficult to take effective measures in the early stage of public opinion formation

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