Social Network Communication Filtering for Goal Achievement
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Solution Overview
Problem
Social media communications can negatively or positively impact an individual's progress toward personal development goals, such as fitness or dietary objectives, due to the influence of peer interactions, but existing technologies lack effective methods to selectively modify these communications to promote goal achievement.
Innovation Solution
A computer system analyzes a social network graph to determine the density and centrality of user interactions and modifies electronic communications based on their affinity to a user's goals, emphasizing supportive messages and de-emphasizing those that hinder progress, using natural language processing and Latent Class models to adjust exposure in news feeds and messaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If electronic communications are freely shared in social media without modification, then users are exposed to diverse peer interactions and social reinforcement, but users may be exposed to detrimental communications that hinder goal achievement
Solution Approach 1:
The system introduces an intermediary processing layer between peer communications and the user. This intermediary analyzes the social network graph to identify dense clusters and central users, then selectively modifies communications based on their affinity to user goals before presentation. The intermediary filters and adjusts communications to promote goal achievement while reducing exposure to detrimental content.
Solution Approach 2:
The system implements feedback by continuously analyzing user interactions and goal progress. Communications are modified based on their measured affinity to constructive goals, creating a feedback loop where the system learns from user behavior patterns in the social network and adjusts communication presentation to reinforce positive behaviors and discourage negative ones.
2Productivity
If all electronic communications are presented to users without selection, then users receive complete social reinforcement from peer interactions, but the effectiveness of supportive communications is diluted by detrimental ones
Solution Approach 1:
The system extracts and separates communications based on their affinity to user goals. Supportive communications that align with constructive goals are identified and extracted for enhanced presentation, while detrimental communications are filtered out or de-emphasized. This extraction process concentrates the beneficial informational content while removing harmful elements.
Solution Approach 2:
The system applies different quality treatments to different communications based on their local characteristics. Communications are analyzed individually or in small groups, and each is assigned a modification level based on its affinity score. Supportive communications receive enhancement treatment while detrimental ones receive suppression treatment, creating localized quality optimization rather than uniform processing.
Data Source
AI summary
A computer system processes electronic communications. A density and centrality of a group of users engaged in electronic communications is determined based on an analysis of a social network graph indicating connections of the users of the group. The electronic communications are analyzed and an affinity of the electronic communications to a constructive goal of a user of the group is determined based on a frequency of electronic communications pertaining to the constructive goal and the determined density and centrality. The electronic communications are modified to advance progress of the constructive goal in response to the affinity satisfying a threshold. Embodiments of the present invention further include a method and program product for processing electronic communications in substantially the same manner described above.