Effort Value Calculation for Content Moderation Prioritization

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Solution Overview

Problem

Content sharing websites face challenges in moderating user-created content effectively, as existing methods treat all content equally regardless of the effort expended by creators, leading to inefficient moderation and prioritization, where high-effort content is delayed alongside low-effort content.

Innovation Solution

A system that monitors user actions during content creation to calculate an effort value, which is used to prioritize content in the moderation queue, ensuring higher effort content is reviewed and shared more quickly, and features artists who consistently create high-effort content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If all content is treated equally in the moderation queue regardless of effort expended, then moderation simplicity is maintained, but high-effort content experiences delayed review and sharing

Engineering Contradiction:
Improvemoderation efficiencyVSAvoidreview time for high-effort content
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent introduces an effort value parameter that quantifies the time and actions expended by users in creating content. This parameter is calculated by monitoring user actions during content creation and is then used to dynamically prioritize content in the moderation queue, allowing high-effort content to be reviewed faster while maintaining systematic fairness

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system performs preliminary monitoring and calculation of user actions during the content creation process itself, determining the effort value before the content enters the moderation queue. This preliminary assessment enables automatic prioritization without adding delay to the review process

Inventive Principle:
Principle #10Preliminary action

2Reliability

If content filtering is applied to prevent offensive or copyrighted content, then content quality and safety are improved, but the complexity of the moderation system increases

Engineering Contradiction:
Improvecontent safetyVSAvoidmoderation system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements self-service mechanisms where the system automatically monitors user actions, calculates effort values, and prioritizes content in the moderation queue without requiring manual intervention. This automation reduces the operational complexity of content filtering while maintaining safety standards through systematic processing

Inventive Principle:
Principle #25Self-service

3Measurement precision

If user actions are monitored to calculate effort value, then content prioritization accuracy is improved, but the system complexity and processing requirements increase

Engineering Contradiction:
Improveeffort value accuracyVSAvoidmonitoring system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex manual assessment mechanisms with automated computer-based monitoring that tracks user actions (time spent, number of edits, types of operations) and algorithmically calculates effort values. This substitution of mechanical/manual processes with computational systems achieves precise measurement while managing complexity through automation

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9652551B2Automated effort judgement of user generated content
Publication Date: 2017.05.16 ADEIA MEDIA HOLDINGS INC
  • US9652551B2 patent drawing
  • US9652551B2 patent drawing
  • US9652551B2 patent drawing

AI summary

Techniques are described for estimating the effort involved in creating content on a content site. Embodiments of the invention may collect data by monitoring actions taken by a user creating content on the site, and may then calculate an effort value for the created content based on the collected data. The calculated effort value may then be used, for example, to determine a position in a moderation queue for inserting the user-created content, or to determine whether to feature a particular user on the site.