Automated Low-Quality News Recognition via Text and Image Similarity
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Solution Overview
Problem
Current news-recommending systems face inefficiencies in recognizing low-quality news resources due to manual checking methods, which are time-consuming and prone to errors, especially with the increasing volume of news content and repeated plagiarism.
Innovation Solution
A method and apparatus that utilize pre-built repositories for low-quality news information to automatically identify low-quality news resources by analyzing text and image content, employing feature extraction, similarity calculations, and classification models to determine the quality of news resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checking is used to identify low-quality news resources, then recognition accuracy can be maintained through human judgment, but the recognition efficiency becomes very low and the process is time-consuming
Solution Approach 1:
The patent replaces the manual mechanical checking process with an automated computer-based system that uses text similarity algorithms, image recognition technology, and database querying to identify low-quality news resources. This substitution maintains recognition accuracy while dramatically improving efficiency by eliminating human labor bottlenecks.
Solution Approach 2:
The system enables news resources to be automatically evaluated against a database of known low-quality content without requiring human intervention. The automated comparison process allows the system to self-assess news quality by matching content features against established patterns of plagiarism and low-quality indicators.
2Reliability
If manual checking is performed repeatedly to catch low-quality news, then coverage can be improved, but the time consumption and labor cost increase significantly
Solution Approach 1:
The patent implements continuous automated monitoring that operates without interruption to detect low-quality news resources. The system continuously queries the database and compares new news content against known low-quality patterns, ensuring comprehensive coverage without the intermittent nature of manual checking cycles.
Solution Approach 2:
The system performs preliminary automated screening of news resources before they are fully published or distributed. By pre-checking content against the database of low-quality news using automated similarity algorithms, the system prevents problematic content from spreading while minimizing time loss through early detection.
3Measurement precision
If more human reviewers are assigned to check news quality, then recognition completeness can be improved, but the operational cost and complexity increase
Solution Approach 1:
The patent creates a digital copy of the news content and compares it against stored patterns of low-quality news in a database. This copying approach allows multiple simultaneous comparisons without requiring multiple human reviewers, achieving comprehensive recognition while keeping the system relatively simple through automated pattern matching.
4Productivity
If automated systems are introduced to improve recognition efficiency, then productivity increases, but the measurement precision may decrease due to lack of human judgment
Solution Approach 1:
The patent introduces an intermediary automated system that bridges the gap between manual checking and complete automation. The system uses algorithmic comparison as an intermediary process to objectively measure text and image similarity, providing consistent and accurate results without the subjectivity and inefficiency of human judgment while maintaining high precision through sophisticated matching algorithms.
Data Source
AI summary
The present disclosure provides a method and apparatus for recognizing a low-quality news resource, a computer device and a readable medium. The method comprises: obtaining information of a to-be-recognized news resource; determining whether the to-be-recognized new resource is a low-quality news resource, according to a pre-built low-quality news information repository and the information of the to-be-recognized news resource. The technical solutions of the present disclosure may be employed to automatically recognize whether the to-be-recognized news resource is the low-quality resource through the information of the to-be-recognized news resource such as the text information and/or pictures, and can overcome technical problems in the prior art such as time-consuming and arduous manual-check manner and a low recognition efficiency due to leakage in checking. Through the above technical solutions, present embodiments may achieve automatic check of the to-be-recognized news resource and thereby substantially shorten the time spent in recognizing the low-quality news resource.