Messaging Incentive Feed for Quality-Based Media Payouts
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Solution Overview
Problem
Existing messaging systems lack an effective mechanism to incentivize users to submit high-quality media content, such as augmented reality content, third-party app content, and geo-location content, which limits engagement and content diversity.
Innovation Solution
Implementing a content-based incentive program within a messaging system that rewards users with monetary payouts for submitting media content that meets predefined criteria, such as augmented reality content, third-party app content, and geo-location content, based on viewer engagement and compliance with content rights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a messaging system allows free submission of media content by users, then user engagement and content volume increase, but content quality and diversity deteriorate
Solution Approach 1:
The system implements a feedback mechanism where users receive notifications about their content submission status, including whether content meets quality criteria and what actions are needed to improve it. This continuous feedback loop guides users to submit higher quality content while maintaining high submission volumes.
Solution Approach 2:
The system dynamically adjusts quality thresholds and criteria parameters based on content type, user reputation, and engagement metrics. By changing these parameters adaptively, the system maintains high content quality standards while accommodating diverse content submissions from various users.
2Manufacturing precision
If the messaging system implements strict content quality criteria, then content quality improves, but user engagement and submission volume decrease
Solution Approach 1:
The system applies different quality criteria and standards to different content types (e.g., augmented reality content, third-party app content, geo-location content). Each content category has tailored quality requirements that are appropriate to its nature, allowing high engagement while maintaining relevant quality standards.
Solution Approach 2:
The quality criteria and thresholds are dynamic rather than static. The system adjusts quality requirements based on user performance, content performance, and system goals, allowing engagement to flourish when standards are appropriate while still maintaining quality when needed.
3Manufacturing precision
If the messaging system provides monetary incentives for content submission, then content quality and diversity improve, but system complexity and cost increase
Solution Approach 1:
The incentive system is segmented into different tiers and categories corresponding to different content types and quality levels. This modular structure manages complexity by breaking down the incentive mechanism into manageable components that can be independently configured and maintained.
Solution Approach 2:
The system automatically evaluates content quality, determines incentive eligibility, and processes payments without extensive manual intervention. This automation reduces operational complexity while maintaining high quality standards through objective, algorithm-driven assessments.
4Reliability
If the messaging system monitors and evaluates content for incentive distribution, then fair compensation is achieved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary quality assessments and incentive eligibility determinations at the time of content submission, rather than waiting for later evaluation. This advance processing ensures fair compensation while minimizing delays, as the bulk of evaluation work is completed before content is fully processed and distributed.
Solution Approach 2:
Manual content evaluation and incentive determination processes are replaced with automated computational systems that use algorithms to assess quality and calculate compensation. This substitution dramatically reduces processing time while maintaining or improving the fairness and consistency of incentive distribution.
Data Source
AI summary
Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for providing a content-based incentive program. The program and method provide for receiving, from a device, a request for submitting a media content item to a content feed associated with an incentive program providing for user payout based on meeting content criteria; determining that the media content item meets the content criteria; adding the media content item to a set of media content items which meet the content criteria and which are available via the content feed; providing access to the media content item in association with the content feed; selecting, based on the providing and at least in part on viewer engagement, the media content item from among the set of media content items for the user payout; and providing, based on the selecting, the user payout to the user.