Privacy Policy Scoring With Semantic Analysis
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Solution Overview
Problem
Users face challenges in assessing the privacy policies of websites and applications, as existing systems lack effective methods to evaluate and communicate the quality of these policies in a user-friendly manner, leading to unclear data management practices and potential privacy risks.
Innovation Solution
A system and method for determining a privacy policy score by analyzing the text of privacy policies using semantic analysis, user preferences, and automated scoring, providing a numeric or letter grade score to help users assess privacy risks associated with websites and applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review privacy policies, then they can assess data management practices, but the process is time-consuming and complex
Solution Approach 1:
The patent replaces manual mechanical review of privacy policies with an automated computer system that uses natural language processing and machine learning algorithms to analyze policy documents, extract key privacy practices, and generate assessments without requiring user time investment
Solution Approach 2:
The system enables self-service privacy assessment by automatically analyzing privacy policies and generating personalized reports based on user preferences and device information, allowing users to obtain privacy evaluations without manual intervention
2Reliability
If privacy policies are made more detailed and comprehensive, then they provide better privacy protection, but they become harder to understand and navigate
Solution Approach 1:
The patent segments the comprehensive privacy policy into distinct sections and categories (data collection, usage, sharing, user rights), extracting individual clauses and analyzing them separately before synthesizing the information into a simplified assessment report that maintains completeness while improving readability
Solution Approach 2:
The system introduces an intermediary layer between the complex privacy policy and the user, using natural language processing to translate legal jargon into plain language and presenting processed information through user-friendly interfaces and personalized reports
3Productivity
If automated scoring systems are used to evaluate privacy policies, then assessment speed increases, but the complexity of the evaluation system increases
Solution Approach 1:
The patent replaces complex manual evaluation processes with automated computer systems using natural language processing, machine learning models, and algorithmic analysis to rapidly assess privacy policies and generate scores without requiring complex manual procedures
Solution Approach 2:
The system transforms the evaluation process by changing parameters from subjective manual assessment to objective automated scoring based on multiple criteria (data collection scope, user control options, transparency), enabling rapid consistent evaluation through quantifiable metrics
Data Source
AI summary
A system includes a processor and a memory accessible to the processor. The memory stores instructions that, when executed by the processor, cause the processor to determine a privacy policy score for one of an application and a website and provide the privacy policy score to a device.