Display Control System for Balanced Article Ranking
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Solution Overview
Problem
Existing display systems face challenges in ensuring both subjective and objective reliability in article rankings, leading to potential echo chamber phenomena where users are exposed to biased information, either by prioritizing socially unreliable sources or relying solely on user-trusted content.
Innovation Solution
A display control system that acquires a list of articles based on user input, determines article display order by combining subjective reliability from trusted users with objective reliability from third-party evaluators not included in the user's trust list, thereby balancing user sympathy with external validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If articles are ranked based solely on user-trusted content (subjective reliability), then user satisfaction and trust are improved, but information diversity and objectivity deteriorate due to echo chamber effects
Solution Approach 1:
The patent combines two different reliability assessment approaches: subjective reliability from user-trusted sources and objective reliability from third-party evaluators. The article ranking system integrates both types of evaluations to produce a comprehensive ranking that maintains user trust while ensuring information diversity and objectivity.
Solution Approach 2:
The patent introduces third-party evaluators as intermediaries who provide objective assessments of articles. These evaluators are independent of the user's trust network and provide an external validation mechanism that balances the subjective reliability assessments from within the user's social circle.
2Adaptability or versatility
If articles are ranked based on third-party evaluations (objective reliability), then information diversity is improved, but user trust and subjective satisfaction deteriorate
Solution Approach 1:
The system merges objective reliability scores from third-party evaluators with subjective reliability scores from user-trusted sources. This combination ensures that articles are evaluated from multiple perspectives, maintaining both information diversity and user trust simultaneously.
Solution Approach 2:
The patent changes the evaluation parameters by introducing a dual-parameter system: subjective reliability (from user-trusted sources) and objective reliability (from third-party evaluators). By adjusting the weighting and integration of these parameters, the system achieves a balanced ranking that addresses both user satisfaction and information diversity.
3Adaptability or versatility
If the system prioritizes socially unreliable sources to break echo chambers, then information diversity is improved, but overall reliability deteriorates due to inclusion of untrusted content
Solution Approach 1:
The patent applies local quality by differentiating between two types of reliability assessments: local subjective reliability from user-trusted sources and external objective reliability from third-party evaluators. This differentiation allows the system to prioritize reliable sources while still incorporating diverse perspectives through the objective evaluation channel.
Solution Approach 2:
The system segments the reliability assessment into two independent channels: one for subjective reliability (user-trusted sources) and one for objective reliability (third-party evaluators). This segmentation allows each channel to function independently with its own criteria, enabling the system to maintain overall reliability while incorporating diverse information sources.
Data Source
AI summary
A computer-readable recording medium stores a display control program for causing a computer to execute a display control process. The display control process includes: acquiring a list of articles made public on a communication network based on a keyword input by a first user; acquiring user information on a plurality of users sympathetic to each of the acquired articles; and determining an article to be preferentially displayed from the list of the articles based on the acquired user information and information on the number of sympathetic evaluations made by third users in the plurality of users, the third users defined as users excluded from trusted user information that contains each second user trusted by the first user in the plurality of users.