Social Content Ingestion Using ROI-Based Channel Prioritization
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Solution Overview
Problem
Conventional methods for identifying content of interest or concern on social media platforms are limited by the lack of public APIs, leading to incomplete content access and high costs when monitoring all posts, or incomplete views when monitoring top channels.
Innovation Solution
A system and method for optimizing content ingestion by discovering channels of interest, estimating their ROI, and efficiently processing content through OCR, image captioning, and audio transcription to create snippets, which are then matched to user-defined narratives for actionable insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all publicly available channels are monitored to ensure complete content access, then content coverage is improved, but cost increases to prohibitive levels
Solution Approach 1:
The patent segments channels into different priority levels (high, medium, low) based on their relevance to narratives of interest. This allows the system to monitor all channels for complete coverage while allocating computational resources preferentially to high-priority channels, thereby managing costs effectively.
Solution Approach 2:
The patent applies different monitoring intensities to different channels based on their local characteristics and relevance. High-priority channels receive full monitoring with all processing operations (OCR, transcription, captioning), while lower-priority channels receive reduced monitoring, optimizing the balance between coverage and cost.
2Loss of energy
If only top channels are monitored to limit costs, then cost is reduced, but view into topics of interest becomes incomplete
Solution Approach 1:
The patent performs preliminary analysis of channel content and characteristics before full monitoring begins. By pre-evaluating channels against narratives of interest and calculating relevance scores, the system identifies which channels are most likely to contain relevant content, ensuring topic coverage is maintained while controlling costs.
Solution Approach 2:
The patent dynamically adjusts monitoring parameters (such as sampling frequency, processing depth, and resource allocation) based on channel priority and content relevance. This allows the system to maintain adequate topic coverage across diverse channels while optimizing resource utilization and controlling costs.
3Measurement precision
If comprehensive post-processing (OCR, captioning, transcription) is applied to all content, then content analysis accuracy is improved, but computational resource usage increases
Solution Approach 1:
The patent applies post-processing operations selectively rather than universally. Based on channel priority, content type, and relevance to narratives, the system applies OCR, captioning, and transcription only where necessary and most beneficial, achieving adequate analysis accuracy while significantly reducing computational resource consumption.
Solution Approach 2:
The patent introduces an intermediary filtering layer that assesses content before applying resource-intensive post-processing. This intermediary evaluation determines which content requires full processing, partial processing, or minimal processing, thereby optimizing the balance between analysis accuracy and computational resource usage.
Data Source
AI summary
Systems, apparatuses, and methods for more effectively monitoring social network and social media posts to assist in identifying posted video, audio, or textual content that may be of interest or concern to a specific entity. This may comprise implementation of a process or technique to select a platform to extract content from, selecting one or more channels or sub-channels on that platform from which to extract content of interest or concern, identifying and subsequently extracting posts expected to contain content of interest or concern, post-processing the extracted content to place it into a form in which it can better be evaluated, and based on the extracted and processed content, causing one or more actions or events to occur.