Consumer Media Reputation Management via Authority Mapping
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Solution Overview
Problem
The diverse and dynamic nature of consumer-generated media (CGM) platforms, such as blogs and social networks, lacks unified standards for data aggregation and interaction, making it challenging for businesses to comprehensively understand and engage with the vast amount of user-generated content effectively.
Innovation Solution
A system and method for consumer-generated media reputation management and influence determination, which includes a computing environment with modules for data collection, ingestion, analysis, and reporting, utilizing an authority map to visualize author and site influence, sentiment calculation, and interactive features for engaging with content creators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is aggregated from multiple diverse CGM sources, then comprehensive understanding of consumer-generated media is improved, but system complexity increases due to lack of unified standards
Solution Approach 1:
The patent introduces an intermediary processing layer that standardizes and normalizes data from diverse CGM sources before analysis. This mediator component translates various formats and standards into a unified structure, resolving the contradiction by maintaining comprehensive data coverage while reducing system complexity through standardized processing.
Solution Approach 2:
The system employs universal data structures and processing mechanisms that can handle multiple CGM source types through a single framework. This multi-functional approach allows the same system components to process blog posts, social media content, forum discussions, and other CGM formats without requiring separate specialized systems for each source type.
2Measurement precision
If analysis covers vast amount of user-generated content, then insight quality is improved, but processing time increases
Solution Approach 1:
The patent segments the analysis process into distinct phases: data collection, preprocessing, analysis, and reporting. This segmentation allows parallel processing of different content types and enables optimized processing strategies for each phase, maintaining high insight quality while reducing overall processing time through efficient task distribution.
Solution Approach 2:
The system implements partial processing where not all data requires full analysis depth. High-volume, low-value content receives streamlined processing, while high-value content receives comprehensive analysis. This selective approach maintains insight quality for critical data while reducing processing time for the overall dataset.
Data Source
AI summary
A method implementable in at least one electronic device coupled to a network and a display device, includes receiving, over the network, a data set, receiving, from a user, a selection of a first topic, determining, based on the data set, a plurality of network sites hosting commentary of the first topic and an authority level of each site of the plurality, determining, based on the data set, an authority level of each site of the plurality, determining, based on the data set, a plurality of authors providing the commentary hosted by the plurality of network sites, determining, based on the data set, an authority level of each author of the plurality, determining, based on the data set, a value characterizing an opinion of each author on the first topic.