Simulated Content Interaction for Policy Violation Detection
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Solution Overview
Problem
Existing digital content testing methods fail to effectively detect policy violations before harmful content is served to users, particularly in online advertising environments, where malicious or undesirable content can cause harm to user devices.
Innovation Solution
A computer-implemented method and system that simulates the display and interaction with digital content items, including advertisements, in a test environment to monitor processing actions and determine policy violations, calculating a score based on violations and suspending or validating content items based on a predetermined threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital content items are tested in a simulated environment before service, then policy violations are detected and harmful content is prevented from reaching users, but system complexity increases due to the need for test environments and simulation infrastructure
Solution Approach 1:
A test environment computer system is introduced as an intermediary between the content source and the user-facing service system. This intermediary system executes code snippets in isolation, monitors processing actions, and determines policy violations without exposing the main service system to potential harms from malicious content.
Solution Approach 2:
Instead of testing content directly in the production environment, the system creates a simulated copy of the user environment (test environment) where digital content items can be safely executed and monitored. The test environment replicates necessary system components (file system, network connections, applications) to accurately detect policy violations without risking the actual service system.
2Reliability
If code snippets are executed in a test environment to detect policy violations, then harmful effects are identified before user exposure, but processing time increases due to the additional testing step
Solution Approach 1:
The system performs policy violation detection through code snippet execution in a test environment before the digital content item is served to users. By conducting this preliminary testing action, the system identifies and blocks potentially harmful content in advance, preventing user exposure to malicious code while maintaining efficient content delivery for safe items.
3Measurement precision
If simulated user clicks are used to trigger code snippet execution, then accurate policy violation detection is achieved, but automation complexity increases
Solution Approach 1:
The test environment computer system automatically performs the entire testing workflow without requiring manual intervention. The system receives the digital content item, simulates user display and clicks, executes code snippets, monitors processing actions, and determines policy violations autonomously. This self-service automation maintains high detection accuracy while managing complexity through integrated automated processes.
Data Source
AI summary
In a computer-implemented method, a digital content item to be tested is received. A display of a visual representation of the digital content item is simulated, where the visual representation is selectable and the digital content item is associated with a code snippet that is executed when the visual representation is selected. A simulated user click on the visual representation is received and the code snippet is executed in response. Processing actions of the code snippet are monitored, and it is determined whether the processing actions violate one or more predetermined system policies indicative of a content item unsuitable for service. A score for the code snippet is calculated based on one or more violations of the one or more predetermined system policies. The digital content item is suspended to prevent service of the digital content item if the score exceeds a predetermined threshold score, and validated for service otherwise.