Web Article Ranking Using Empathy-Based Reliability Verification
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Solution Overview
Problem
Existing search engines on the Internet often provide incorrect and unreliable information, including fake news, making it difficult for users to verify the reliability of Web articles without significant effort.
Innovation Solution
An information processing program and system that utilizes an endorsement layer to acquire additional information, detect the number of empathies given to Web articles, and order them based on reliability evaluation values, enhancing the accuracy of information output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional search engines are used to provide Web articles, then information availability is improved, but information reliability deteriorates due to fake news and incorrect information
Solution Approach 1:
The patent introduces an endorsement layer as an intermediary between Web articles and users. This layer collects endorsement information from multiple users, fact-checkers, and authoritative sources, then uses machine learning models to generate reliability evaluation values. The endorsement layer acts as a mediator that filters and evaluates information before presenting it to users, thereby maintaining information availability while improving reliability through collective verification.
Solution Approach 2:
The system implements feedback mechanisms where users can provide endorsements, corrections, and verification information about Web articles. This feedback is continuously processed by the machine learning model to update reliability evaluation values. The feedback loop enables the system to learn from user experiences and improve its ability to distinguish reliable from unreliable information over time.
2Reliability
If manual verification of each Web article is performed, then information reliability is improved, but user effort and time consumption increase significantly
Solution Approach 1:
The system enables self-service verification by automatically computing reliability evaluation values for Web articles using the endorsement layer and machine learning model. Users simply need to view the pre-computed reliability scores without performing manual verification tasks. The system serves itself by autonomously evaluating information reliability based on collected endorsement data, freeing users from time-consuming verification work.
Solution Approach 2:
The system performs preliminary verification actions by pre-computing reliability evaluation values for Web articles before users encounter them. The endorsement layer continuously gathers endorsement information and updates reliability scores in advance, so when users search for articles, the reliability assessment is already available. This preliminary action eliminates the need for users to perform verification at the moment of information consumption.
3Reliability
If reliability verification mechanisms are implemented, then information credibility is improved, but system complexity increases
Solution Approach 1:
The endorsement layer is designed as a universal multi-functional component that serves multiple purposes: collecting endorsements from various sources, storing endorsement information, training machine learning models, and generating reliability evaluation values. By consolidating these functions into a single layer, the system avoids the complexity of separate verification mechanisms while achieving comprehensive reliability assessment.
Solution Approach 2:
The system uses copying by training machine learning models on copied endorsement data from the endorsement layer. Instead of implementing complex verification logic in multiple places, the system copies verified patterns from training data into the model's decision-making structure. This allows reliable verification behavior to be replicated across different information evaluation scenarios without increasing system complexity.
Data Source
AI summary
A non-transitory computer-readable recording medium storing an information processing program for causing a computer to execute a process includes acquiring additional information capable of verifying reliability of a plurality of first Web articles, detecting the number of empathies that indicates the number of empathies given to the additional information when the additional information is regarded as valid for verification of the reliability, and ordering the plurality of first Web articles based on the number of empathies.