Reliability Scoring Interface for Internet Endorsement Data
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Solution Overview
Problem
Users face difficulties in easily determining the reliability of data on the Internet, as the added information varies in reliability based on the user's trust in the endorser and requires significant time and effort to verify.
Innovation Solution
A reliability determination program that displays specific data on a screen, receives property data indicating certainty, and determines the data's reliability using a viewer's emphasized viewpoints and trusted entities, superimposing the reliability information on the screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If information is added to data on the Internet to support data certainty, then data reliability confirmation is enabled, but the user cannot easily determine whether the added information itself is reliable
Solution Approach 1:
The patent segments the verification process by dividing endorsement information into multiple dimensions (viewer attributes, endorser attributes, endorsement content attributes). Each dimension is evaluated separately and aggregated to produce an overall reliability score, making the complex verification process manageable and transparent to users.
Solution Approach 2:
The patent introduces an intermediary reliability determination system that automatically evaluates endorsement information based on pre-set criteria and user profiles. This intermediary process mediates between the raw endorsement data and the user's reliability judgment, providing an objective reliability score that reduces the cognitive burden on users.
2Reliability
If a large amount of information is displayed as endorsement data, then comprehensive verification is possible, but it takes significant time and effort for the user to confirm all information
Solution Approach 1:
The patent extracts only the most relevant endorsement information based on user profiles and data types. Instead of displaying all available endorsement data, the system selectively presents key attributes and automatically calculates reliability scores, allowing users to quickly assess data trustworthiness without being overwhelmed by excessive information.
Solution Approach 2:
The patent changes the parameter representation from raw text information to quantified reliability scores and weighted attribute evaluations. By transforming endorsement data into standardized parameters that can be automatically compared and aggregated, the system enables rapid reliability assessment without requiring users to manually analyze large amounts of text.
3Reliability
If endorsement information from various sources is collected, then data certainty is enhanced, but the variability in user trust criteria makes reliability determination difficult
Solution Approach 1:
The patent implements dynamic reliability determination by allowing the system to adapt evaluation criteria based on user profiles, data types, and context. The weighting of different endorsement attributes changes dynamically according to user preferences and situational factors, enabling the same endorsement information to be evaluated differently for different users while maintaining systematic rigor.
Data Source
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AI summary
An operation terminal (1) displays specific sent data uploaded on the Internet on a screen, receives endorsement data (41) indicating certainty of the sent data, determines a degree of reliability of the specific sent data with respect to the endorsement data (41) by using an emphasis viewpoint list (31) storing a viewpoint emphasized by a viewer who views the sent data, and displays information indicating the degree of reliability of the specific sent data in a superimposed manner on the screen.