Rule-Based Content Filter for Audience Mismatch Prevention
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Solution Overview
Problem
Users face challenges in managing and remembering multiple social media audience groups, leading to unintentional posting of inappropriate content to the wrong audiences, which can result in reputation damage or embarrassment.
Innovation Solution
A rule-based content filter system that allows users to create and apply rules based on content and target audiences, using machine learning to analyze historical postings and provide warnings or block inappropriate content from being posted, with options for users to override the blockage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually remember and manage multiple audience groups, then they can control content distribution, but they may unintentionally post inappropriate content to the wrong audience
Solution Approach 1:
The patent introduces an automated filtering system that acts as an intermediary between the user and the audience groups. This system analyzes the content being posted and automatically determines the appropriate audience without requiring the user to manually remember group memberships, thus resolving the contradiction between reliability and ease of operation
Solution Approach 2:
The system enables self-service by automatically analyzing posted content and routing it to appropriate audiences based on content characteristics. The user simply posts content without needing to manage audience groups, and the system handles the distribution automatically, eliminating the memory burden while maintaining accurate content distribution
2Adaptability or versatility
If users create multiple audience groups for different relationships, then they can share content with appropriate audiences, but they cannot remember all group members
Solution Approach 1:
The patent replaces the mechanical system of human memory with an automated computational system. Instead of relying on users to remember group members, the system uses algorithms to analyze content and automatically determine appropriate audiences, preserving content sharing flexibility while eliminating the need to remember group memberships
3Productivity
If users post content freely to all audiences, then they can communicate efficiently, but they may share inappropriate content with wrong audiences
Solution Approach 1:
The patent applies preliminary action by analyzing and filtering content before it is posted to audiences. The system proactively identifies potentially inappropriate content and prevents its distribution to unsuitable audiences, allowing users to communicate efficiently while protecting against reputation damage from misplaced content
Data Source
AI summary
Rule-based content filter is described, including receiving from a user an indication of an attempted posting of content to a target, wherein the attempted posting of the content by the user comprises at least one item provided by the user for display on a website to the target; selecting a rule associated with the user, wherein the rule is selected based on at least one of the content of the attempted posting and an identity of the target; applying the rule to the attempted posting to determine whether a condition applies, the condition relating to whether the attempted posting complies with the rule; when the condition applies, posting to the target; and when the condition does not apply, providing an indication to the user that the attempted post does not comply with the rule.