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How Do Narrative Layers Work?

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Layer Breakdown:

  1. High-Level Layer – Most Consolidated
  • Description: This layer captures the broadest and most abstract themes of a narrative, reflecting overarching storylines or societal-level discourses. It is driven by long-term patterns in communication and public discourse, such as geopolitical tensions or climate change debates.
  • Use Case: Best for executive summaries or strategic insights where understanding general trends or societal movements is more important than granular details.
  1. General Layer
  • Description: The General layer provides a mid-level view, connecting related discussions or topics within the broader high-level theme. It consolidates a wide range of mentions into cohesive thematic groupings.
  • Use Case: Useful for content analysts or communication strategists who track developments, subtopics, or clusters of viewpoints over time.
  1. Detailed Layer
  • Description: The Detailed layer dives deeper into the narrative by grouping mentions that share specific attributes, such as similar keywords, tone, or framing. This layer may focus on concrete sub-events or consistent messaging patterns, offering a finer understanding of how the narrative unfolds.
  • Use Case: Ideal for researchers or media intelligence teams who need to analyze how different actors frame an issue, compare sentiment, or track consistent messaging patterns across sources.
  1. Specific Layer – Most Granular
  • Description: The Specific layer is the most granular, focusing on individual mentions or small clusters of data points. These could include a viral tweet, a news article about a specific incident, or a recurring phrase in a niche community.
  • Use Case: Best for identifying isolated but potentially high-impact data points that may be overlooked in broader analyses.

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Why Use Narrative Layers?

  • Manage Large Workspaces: Narrative layers allow you to manage large, complex workspaces with hundreds of narratives.
  • Seamless Toggling: Toggle between broad and detailed views with ease, ensuring you can drill down into the specifics or zoom out for the big picture as needed.
  • Efficient Data Organization: Layers preserve all generated narratives while organizing them into a structured format, enabling streamlined analysis and reporting.

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Default Narrative Layers

Narrative layers use an auto-level detection based on the number of mentions in a workspace.
10k mentions → Level 4
50k mentions → Level 3 100k mentions → Level 2 >100k mentions → Level 1 In addition to auto-detection and the ability to toggle between layers, we now allow users to set a default layer within the app. This feature eliminates the need to constantly switch between layers and ensures that your workspace always opens with your preferred level of detail.

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Workflow to Test Narrative Layers

  1. Open a Workspace: Navigate to a workspace you are familiar with.
  2. Explore the Layers: Start with Layer 3 (the most granular) and toggle through the layers to observe how the number of narratives decreases at higher layers.
  3. Compare Narrative Shifts: Analyze how the narratives shift in terms of detail and consolidation as you move from Layer 3 to Layer 0.