Social Network Message Selective Delivery and Traffic Management
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Solution Overview
Problem
Social networks face challenges with the rapid spread of misinformation and objectionable content, leading to online bullying and traffic congestion, as users can easily and quickly disseminate content, causing detrimental effects on users and network resources.
Innovation Solution
A method to manage electronic communications within social networks by determining if new messages have content similar to previously communicated messages, selectively delaying or prioritizing notifications to mitigate detrimental patterns, using a social network server with a processor and memory to observe and adjust message distribution, and employing linguistic analysis to identify and counteract harmful content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If social networks enable rapid real-time message dissemination, then user engagement and content creation speed are improved, but misinformation spread and network traffic congestion worsen
Solution Approach 1:
The system performs preliminary analysis of messages before they are fully disseminated through the network. By detecting patterns of harmful content (such as circular mill phenomena where messages repeatedly circulate without adding value) and anticipating their spread, the system can intervene to slow or stop their propagation, thereby preventing widespread misinformation while preserving legitimate rapid communication
Solution Approach 2:
The system continuously monitors message patterns and network traffic, using this feedback to identify harmful dissemination behaviors. When circular mill patterns or other harmful patterns are detected, the system adjusts message delivery in real-time, creating a feedback loop that adapts to changing conditions and effectively curbs misinformation spread without stifling legitimate communication
2Productivity
If social networks allow unlimited message re-transmission, then user interaction and engagement are improved, but network traffic resources are depleted
Solution Approach 1:
The system applies different delivery treatments to different messages based on their characteristics. Rather than uniformly blocking all re-transmissions, it selectively allows beneficial user interactions while blocking harmful patterns. By analyzing message content and propagation patterns, the system applies local quality control that preserves legitimate user engagement while preventing resource-depleting circular mill phenomena
Solution Approach 2:
The system does not completely block message re-transmission, which would excessively limit user interaction. Instead, it applies partial action by selectively allowing certain re-transmissions while blocking others based on pattern recognition. This balanced approach maintains necessary user engagement while preventing excessive resource consumption from harmful repetitive messages
3Ease of manufacture
If social networks enable quick content generation and sharing, then democratization of media is improved, but harmful content and cyber-bullying increase
Solution Approach 1:
The system introduces an intermediary layer between content creation and full network dissemination. This intermediary analysis layer examines messages for harmful patterns (cyber-bullying, harassment, misinformation) before allowing them to propagate. The intermediary acts as a filter that preserves the ease of content generation for legitimate users while blocking harmful content, thus protecting victims without stifling legitimate expression
Data Source
AI summary
The present disclosure provides for selective delivery of social network messages within a social network. When it is determined that one or more new messages to be communicated to members of a social group of the social network have content substantially similar to a given content of a plurality of messages previously communicated to the social group, notification of the one or more new messages to the one or more members of the social group can be selectively adjusted.