Experience-Based Social Media Platform with Dynamic Data Segmentation
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Solution Overview
Problem
Traditional social media platforms often feature negative or unengaging content, leading to user disengagement, and lack transparency in data usage, which further discourages user interaction.
Innovation Solution
An experience-based social media platform that allows users to create and complete challenges, lists of challenges, and post content related to challenge completion, while providing privacy settings for data control and engagement with businesses through sponsored challenges and digital rewards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional social media platforms share user data freely for platform operations, then platform functionality is improved, but user privacy control deteriorates
Solution Approach 1:
The patent segments user data control into multiple levels: users can select specific data types to share (location, contacts, camera access) and control which applications access each type. This segmentation allows the platform to maintain functionality while giving users granular control over their data, resolving the contradiction between operational ease and privacy control.
Solution Approach 2:
The patent implements dynamic data sharing where user permissions can be changed at any time. Applications can request different levels of access (read-only, read-write, location always/when-in-use), and users can revoke or modify permissions dynamically. This dynamic approach enables the platform to adapt to user preferences while maintaining operational flexibility.
2Productivity
If social media platforms display diverse content to maximize user interest, then user engagement is improved, but content quality control deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where user interactions (likes, comments, shares, time spent) are continuously monitored and used to refine content recommendations. The system learns from user behavior patterns and adjusts content delivery to maximize engagement while maintaining quality standards through algorithmic filtering and moderation based on engagement metrics.
3Productivity
If social media platforms use algorithmic content recommendation to increase user engagement, then user interest is improved, but transparency deteriorates
Solution Approach 1:
The patent introduces an intermediary layer between the algorithmic recommendation system and the user. This intermediary provides explainable AI features that show users why certain content is recommended, allowing them to understand and control the recommendation process while maintaining engagement benefits.
Data Source
AI summary
An example method includes receiving, from a user device, a first challenge content for inclusion in a challenge list and identifying, based on the challenge content and selection criteria, additional challenge content suggested for inclusion in the challenge list. The method further includes displaying the additional challenge content at a user interface of the user device and updating the selection criteria based on whether the additional challenge content is selected for inclusion in the challenge list.