The Metadata analysis aims to extract essential insights from key metadata elements, serving as a valuable tool for assessing potential academic misconduct. The analysis is interactive and delivers a comprehensive summary of identified issues, enabling users to better understand and address metadata concerns.
The Metadata Analysis provides a detailed overview of a document’s metadata, highlighting flagged items for easier navigation. The analysis includes:
Complete metadata list: Displays all document metadata alongside flagged items for easier navigation.
Flagged items prioritized: Flagged metadata is shown first, allowing quick identification of key issues.
Interactive options: Users can include or exclude flagged metadata as needed.
AI-generated summary: Provides a concise explanation of flagged metadata and the reasons for their identification, offering clearer context.
The metadata analysis offers users a complete list of document metadata alongside a dedicated list of flagged items for streamlined navigation and a clearer overview of findings. By default, flagged metadata is displayed first, allowing users to quickly identify and understand key issues. Users can interact with flagged metadata, performing exclude or include actions as necessary.
Additionally, the analysis provides an AI-generated summary of findings, offering a concise explanation of the flagged metadata and the reasons for their identification, making it easier to understand the document's metadata in the context of the analysis.
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Fig 1. Metadata Analysis list of flags with filters and exclude buttons available. Fig 2. Analyze with AI button to generate a summary of the Metadata Analysis Fig 3. The AI-generated summary of the Metadata Analysis