Intelligent News Management Platform Automating Event Prioritization
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Solution Overview
Problem
Modern news media face inefficiencies in gathering, analyzing, and reporting real-time news due to reliance on human intelligence and manual processes, struggling to efficiently harvest and correlate vast amounts of data to provide timely and comprehensive news coverage.
Innovation Solution
An intelligent news management platform that collects, prioritizes, and scores event data using proprietary algorithms, enhances newsworthiness through data correlation, and automates the reporting process, integrating with social media platforms to streamline newsroom operations and enhance data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual information gathering and analysis processes are used, then human intelligence can identify and report news events, but the process is inefficient and cannot handle massive volumes of real-time data
Solution Approach 1:
The patent replaces manual human intelligence and mechanical information gathering processes with an automated computer-implemented system that collects, extracts, prioritizes, scores, and reports event data from multiple real-time sources, eliminating the inefficiency of manual news gathering while maintaining quality through algorithmic processing
Solution Approach 2:
The system enables self-service automation where the platform independently performs data collection, analysis, prioritization, and reporting without human intervention, allowing the news management system to serve itself in processing massive volumes of real-time data efficiently
2Productivity
If automated data collection and analysis processes are implemented, then news gathering efficiency improves, but system complexity increases
Solution Approach 1:
The patent segments the automated news processing system into distinct functional modules: data collection module, event extraction module, prioritization module, scoring module, and reporting module. Each module handles a specific aspect of the process, making the complex system manageable and maintainable while achieving high automated processing capacity
Solution Approach 2:
The platform is designed as a universal system that can handle multiple data sources (social media, news wires, blogs, forums), perform various processing functions (collection, extraction, prioritization, scoring), and serve different clients simultaneously, reducing overall system complexity through multi-functionality
3Loss of information
If comprehensive data correlation and analysis are performed, then news depth and quality improve, but processing costs increase
Solution Approach 1:
The patent applies partial action by performing data correlation and analysis to the extent necessary to achieve meaningful news coverage without processing every possible data point exhaustively. The system prioritizes and scores events to focus computational resources on the most newsworthy information, achieving adequate news depth while controlling processing costs
Data Source
AI summary
The present disclosure relates to computer-implemented methods, computer-readable media, and computer systems for providing an intelligent news management platform and social media platform services. One computer-implemented method includes collecting detection data, extracting event data from the collected detection data, prioritizing the extracted event data to created prioritized event data, scoring the prioritized collected event data against a newsworthiness threshold to create scored event data, associating the score with the scored event data, storing the scored event data into an event data store, determining that the scored event data is at least equal to the newsworthiness threshold, marking the scored event data as actionable, and reporting the scored event data.