Automated Compliance Determination for Branded Content
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Solution Overview
Problem
Current methods for ensuring compliance with sponsorship disclosure requirements in branded content on media platforms are time-intensive, laborious, and prone to errors, often requiring manual human review, which is costly and inefficient, especially as the number of content items increases.
Innovation Solution
An automated system using natural language processing to generate transcripts, select candidate word sequences, and apply machine learning classifiers to determine compliance with sponsorship disclosure requirements, both verbal and written, within media content, thereby eliminating the need for manual review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual compliance review process is used, then compliance accuracy can be maintained, but processing time increases and productivity decreases
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated computational system using speech-to-text conversion, n-gram generation, and machine learning classification to detect disclosure statements, thereby maintaining compliance accuracy while dramatically increasing processing speed and productivity
Solution Approach 2:
The patent introduces intermediate processing steps including speech-to-text conversion, n-gram generation, and similarity comparison as mediators between the raw content and final compliance determination, enabling automated analysis while preserving accuracy through multiple verification layers
2Reliability
If manual compliance review is performed, then compliance determination can be achieved, but labor costs and operational complexity increase
Solution Approach 1:
The system performs self-service by automatically generating transcripts, creating n-grams, comparing against target sequences, and determining compliance without human intervention, thereby reducing labor costs while managing complexity through modular automated processes
Solution Approach 2:
The patent segments the compliance review process into distinct modular components: speech-to-text conversion, n-gram generation, similarity comparison, and compliance determination, which reduces operational complexity by making each component independent and manageable
3Productivity
If automated compliance checking is implemented, then productivity increases, but measurement precision requirements increase
Solution Approach 1:
The patent applies local quality by focusing the analysis on specific local features (n-grams of words) rather than analyzing entire transcripts at once, enabling high-throughput processing while maintaining precision through localized pattern matching against target disclosure sequences
Data Source
AI summary
Methods, systems, and media for automated compliance determination of content items are provided. In some embodiments, the method comprises: receiving, at a server from a user device associated with a user, a request to provide a branded content item on a media content platform; in response to receiving the request, generating a transcript of a speech portion of the branded content item; generating a plurality of candidate word sequences based on the transcript; selecting a candidate word sequence from the plurality of candidate word sequences based on a similarity that is determined by comparing each of the plurality of candidate word sequences with each of a plurality of target word sequences; in response to selecting the candidate word sequence, applying a model to the selected candidate word sequence to determine whether the selected candidate word sequence contains a first disclosure statement in accordance with one or more disclosure requirements and applying the model to a content description associated with the branded content item to determine whether the content description contains a second disclosure statement in accordance with the one or more disclosure requirements; and associating the branded content item with a compliance indicator that indicates the branded content item is compliant with the one or more disclosure requirements in response to the model indicating that the selected candidate word sequence contains the first disclosure statement and in response to the model indicating that the content description contains the second disclosure statement.