Authorship Confirmation via Entity Profile Cross-Referencing
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Solution Overview
Problem
Inaccurate or invalid authorship information on websites leads to inaccuracies and user confusion in search results, necessitating a method to confirm the actual authorship of documents.
Innovation Solution
The use of predefined authorship attributes in links and authorship identifiers, combined with entity profiles, to establish a chain of confirmation across documents and verify authorship through email or byline validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If authorship information is included in documents, then authorship attribution is provided, but accuracy and validity of authorship information deteriorates
Solution Approach 1:
The system performs preliminary actions by obtaining authorship information from multiple sources (social media profiles, email addresses, bylines) before final verification. Entity profiles are created in advance with associated authorship identifiers, and these pre-collected data are then validated through cross-referencing to confirm actual authorship, thereby improving both accuracy and validity
Solution Approach 2:
The system implements feedback mechanisms by cross-referencing authorship information across multiple documents and sources. When authorship attributes are detected in links or identifiers, the system validates them against entity profiles and previous confirmations, using this feedback loop to filter inaccurate information and confirm valid authorship with higher reliability
2Measurement precision
If authorship confirmation methods are implemented, then authorship accuracy is improved, but system complexity increases
Solution Approach 1:
The system achieves universality by using a multi-functional entity profile structure that can store and verify multiple types of authorship identifiers (email addresses, social media handles, bylines) within a single framework. This unified approach allows the same system to handle diverse authorship attribution methods without requiring separate verification mechanisms for each type, thereby improving accuracy while managing complexity
Solution Approach 2:
The system employs self-service mechanisms where entity profiles automatically associate authorship identifiers with documents through predefined attributes in links and identifiers. The cross-referencing process automatically validates authorship by comparing detected attributes against stored profile information, reducing the need for manual verification and simplifying the overall system operation while maintaining high accuracy
Data Source
AI summary
A system, computer-readable storage medium storing at least one program, and a computer-implemented method for confirming authorship of documents is presented. A document hosted on a website of a domain is accessed, where the document includes an authorship identifier asserting authorship of the document by an entity. Authorship of the document by the entity is conditionally confirmed when a profile for the entity is associated with the authorship identifier and when the profile for the entity indicates that the entity has confirmed that the authorship identifier is included in documents authored by the entity that are hosted on the first website of the first domain. Responsive to confirming authorship of the document by the entity, application of a confirmed authorship process to the document is permitted. Responsive to failing to confirm authorship of the document by the entity, application of the confirmed authorship process to the document is barred.