Brand Profile Detection and Automated Takedown Workflow
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Solution Overview
Problem
Existing methods for identifying and removing malicious social media profiles are time-consuming and inefficient, failing to locate all such profiles in real time, posing a threat to brand reputation and causing potential financial and reputational damage.
Innovation Solution
An automated method and system using artificial intelligence to inspect, analyze, and remove malicious profiles by determining relevance and legitimacy through item comparison, natural language analysis, and probability-based criteria, with integrated circuitry for web crawling, comparison, and automated takedown requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection and analysis of social media profiles is performed, then accuracy in identifying malicious profiles is improved, but time consumption and labor requirements increase significantly
Solution Approach 1:
The patent replaces manual mechanical inspection with automated computer-based systems that use web crawlers, natural language processing algorithms, and machine learning models to automatically analyze social media profiles, thereby eliminating time-consuming manual labor while maintaining high detection accuracy
Solution Approach 2:
The system performs self-service by automatically crawling web pages, extracting profile data, analyzing content through NLP, making relevance determinations, and initiating takedown requests without requiring continuous human intervention, thus resolving the time consumption issue while maintaining precision
2Reliability
If comprehensive search for all malicious profiles is conducted, then brand protection coverage is improved, but response time and operational efficiency deteriorate
Solution Approach 1:
The patent implements continuous automated monitoring through web crawlers that constantly scan social media platforms, ensuring real-time detection of new malicious profiles while maintaining comprehensive brand protection coverage without sacrificing response time
Solution Approach 2:
The system performs preliminary actions by pre-configuring search criteria, brand keyword lists, and detection algorithms before malicious profiles are created, enabling immediate recognition and rapid response when threats appear while maintaining comprehensive coverage
3Productivity
If automated automated analysis is implemented, then productivity and speed of takedown are improved, but system complexity and technical requirements increase
Solution Approach 1:
The patent segments the complex automated system into distinct functional modules: web crawler component, data extraction component, NLP analysis component, relevance determination component, and takedown initiation component, making the overall system more manageable and easier to implement while maintaining high productivity
Solution Approach 2:
The system introduces intermediary components such as centralized databases for storing brand information and profile data, and standardized API interfaces for communicating with social media platforms, which simplify the technical architecture and reduce implementation complexity while enabling automated high-speed operation
Data Source
AI summary
A method for defending against malicious profiles on the web comprises the steps of: i) inspecting a profile to determine its relevance to a brand that it is desired to protect from malicious activity; ii) determining whether said profile is relevant to said brand; iii) if it is determined that said profile is relevant, analyzing it to determine whether it is legitimate or malicious; and iv) if it is determined that the profile is malicious, assembling proof of its malicious activity and submitting same together with a takedown request to the administrator of the website where the profile was located.