Automated Newsworthiness Assessment Algorithm
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Solution Overview
Problem
Organizations face challenges in determining the newsworthiness of their news story ideas and securing media coverage, as they lack understanding of what constitutes news and face high competition in crowded newsrooms with limited resources for public relations support.
Innovation Solution
A system and method that evaluates and ranks the newsworthiness of news stories using objective patterns in media coverage, based on News Value and Relevance scores, derived from analyzing past media trends and inquiries, to predict media interest and optimize story release timing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If organizations hire public relations counsel to help generate news coverage, then the quality of news story assessment improves, but the cost increases significantly
Solution Approach 1:
The system creates a virtual copy of professional public relations counsel expertise through an automated algorithm. The algorithm replicates the assessment capabilities of human PR professionals by analyzing news stories against established newsworthiness criteria and media patterns, providing expert-level evaluation at a fraction of the cost.
Solution Approach 2:
The patent replaces the mechanical system of human PR counsel with an automated computer-based assessment system. The system uses software algorithms that process news stories, compare them against media patterns, and generate objective newsworthiness scores, eliminating the need for expensive human consultants while maintaining assessment quality.
2Productivity
If newsrooms receive more potential news stories, then media coverage opportunities increase, but the time available for review decreases
Solution Approach 1:
The system performs preliminary assessment of news stories before they reach editors. By pre-evaluating stories against newsworthiness criteria and predicting their likelihood of media pickup, the system enables editors to prioritize and review only the most promising stories, reducing the time needed for initial screening.
Solution Approach 2:
The system provides feedback to organizations about the newsworthiness of their stories and the likelihood of media coverage. This feedback loop allows organizations to refine their story development and timing strategies, increasing the probability of successful media pickup without requiring extensive editorial review time.
3Adaptability or versatility
If organizations seek media coverage frequently, then their visibility and brand awareness improve, but the resources available for public relations support decrease
Solution Approach 1:
The system enables organizations to self-assess the newsworthiness of their own stories using the automated algorithm. Organizations can independently evaluate their news ideas against media patterns and receive objective feedback without requiring external PR resources, allowing frequent media outreach while maintaining limited internal support.
Solution Approach 2:
The system changes the parameters of story assessment by using objective, quantifiable criteria rather than subjective human judgment. By measuring newsworthiness through defined parameters such as timeliness, impact, and media patterns, the system provides consistent evaluation that allows frequent outreach without proportionally increasing resource requirements.
Data Source
AI summary
A system and method for determining a newsworthiness score for a news story, including the steps of receiving data describing a news story from a client, comparing the data describing the news story to a set of pre-determined factors, locating the factors that are present on the set of pre-determined factors in the data, adding pre-calculated values to a running total, the newsworthiness score, for each factor found in the data.