Social Network Content Distribution Proportional Representation
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Solution Overview
Problem
Users on social networks who share specific characteristics or demographics may be underrepresented in content streams, leading to reduced interaction and engagement, as existing systems fail to effectively promote content from less-represented groups.
Innovation Solution
The system identifies members of a social network with shared characteristics, determines their proportion, and adjusts content distribution to reflect this composition, prioritizing content from these groups in users' streams based on relevance and ranking scores, ensuring proportional representation and enhanced user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content distribution is based on traditional algorithms without considering demographic representation, then content streams reflect the majority population's content, but underrepresented groups remain disproportionately less-represented in content streams
Solution Approach 1:
The patent applies local quality by adjusting content distribution specifically for underrepresented demographic groups rather than applying a uniform distribution method to all users. The system identifies members with shared characteristics and determines their proportion in the social network, then adjusts content distribution to reflect this composition specifically for these underrepresented groups, making the content stream composition locally adapted to their representation needs.
2Productivity
If content from underrepresented groups is promoted to achieve proportional representation, then user engagement increases, but the content distribution algorithm becomes more complex
Solution Approach 1:
The patent applies preliminary action by pre-determining the proportion of each demographic group in the social network and establishing adjustment factors before content distribution occurs. The system identifies members with shared characteristics and calculates their representation proportion in advance, then uses these pre-calculated values to adjust the distribution of content, rather than computing complex adjustments in real-time for each content item.
Solution Approach 2:
The patent applies feedback by using the determined proportion of underrepresented groups to dynamically adjust content distribution. The system monitors the composition of the social network, determines representation gaps, and uses this information to modify content distribution accordingly, creating a feedback loop that continuously optimizes for proportional representation and user engagement.
3Reliability
If content distribution reflects the actual composition of the social network, then underrepresented groups gain visibility, but majority groups may see reduced content from their peers
Solution Approach 1:
The patent applies partial action by selectively adjusting content distribution only for underrepresented demographic groups rather than redistributing all content uniformly. The system identifies members with shared characteristics and applies distribution adjustments specifically to promote content from these underrepresented groups, while maintaining normal distribution patterns for content from already-well-represented groups, thus partially modifying the overall distribution to achieve fairness without completely restructuring content flow.
Data Source
AI summary
Techniques for providing electronic content may include: identifying members of a social network that have a characteristic in common; determining a first proportion of the social network that the members compose; determining that a first member of the social network has the characteristic; identifying first content from the members that have the characteristic in common; and outputting second content from the social network to the first member. At least some of the first content may be included in the second content, and the at least some of the first content may represent a second proportion of the second content, where the second proportion is based on the first proportion.