Trust-Based Media Service Evaluation Using Multi-Dimensional User Data
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Solution Overview
Problem
Current media service providers face challenges in ensuring trustworthiness of content producers and consumers, as existing methods rely on reputation ratings that do not account for user ability, integrity, and benevolence, and are limited in addressing content redistribution and manipulation risks, particularly in multi-dimensional analysis.
Innovation Solution
A method and apparatus for providing trust-based media services by collecting and analyzing user data from both media and social networks to calculate a trust index based on individual measurement indices such as ability, integrity, sincerity, similarity, relationship period, and closeness, which determines access rights and content tagging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If reputation rating methods are used to evaluate content producers, then content quality assessment is simplified, but trustworthiness evaluation becomes inaccurate because content consumers are not included as analysis subjects
Solution Approach 1:
The evaluation system is segmented into multiple dimensions: individual measurement indices (ability, integrity, benevolence, sincerity) and relationship measurement indices (similarity, relationship period, closeness). This segmentation allows comprehensive trustworthiness evaluation by separately assessing individual characteristics and interpersonal relationships, then integrating them through the trust index calculation.
Solution Approach 2:
The system transitions from traditional one-dimensional reputation ratings to multi-dimensional trust evaluation by incorporating both individual measurement indices and relationship measurement indices. This dimensional expansion enables comprehensive assessment of trustworthiness by considering multiple factors simultaneously, including ability, integrity, benevolence, sincerity, similarity, relationship period, and closeness.
2Reliability
If user report-based content risk investigation is implemented, then content safety is improved, but response time increases and costs rise due to predetermined processing time
Solution Approach 1:
The system performs preliminary trust evaluation by continuously collecting and analyzing user data from media services and other services to calculate trust indices in advance. This preliminary action enables the system to assess content risk before harmful content is produced or distributed, allowing preventive measures rather than reactive responses, thereby reducing response time while maintaining content safety.
Solution Approach 2:
The system implements continuous feedback loops by collecting user data from multiple sources, calculating trust indices, and using these indices to control access rights and provide trust-based media services. This feedback mechanism enables real-time monitoring and dynamic adjustment of content safety measures, improving response efficiency while maintaining high reliability.
3Ease of operation
If traditional reputation information analysis is used, then content producer evaluation is simplified, but multi-dimensional analysis is limited because only data within the media service is analyzed
Solution Approach 1:
The system collects user data from multiple sources including media services and other services, making the evaluation system universal and applicable to various contexts. This multi-functionality enables comprehensive trustworthiness evaluation by integrating data from diverse sources, allowing the system to adapt to different evaluation scenarios and provide multi-dimensional analysis beyond traditional media service boundaries.
Data Source
AI summary
Provided are a method and an apparatus for providing a trust-based media service. First user related data and second user related data are collected from a media service and other service, the trust is analyzed based on the collected data, trust information including the trust index of the first user or the second user is obtained, and the trust information is provided. The trust index is calculated based on a value of trustworthiness for a user obtained based on a first individual measurement index calculated based on the collected data and a value of relationship between the first user and the second user obtained based on a second individual measurement index calculated based on the collected data.