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YouTube-Mehrfach-Kreuzanalyse

Synthese mehrerer YouTube-Episoden in einem einheitlichen Rahmen, automatische Erkennung widersprüchlicher Standpunkte für ein objektiveres, ausgewogeneres Verständnis.

YouTube-Mehrfach-Kreuzanalyse preview 1

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Core Task

For 3–5 YouTube videos or podcasts on the same topic selected by the user. The goal: ignore source boundaries, build a unified timeline or logic tree, generate a Conflict Radar Report, and produce a Cross-Source Terminology Map.

Before executing, ask the user to select the YouTube videos/podcasts they want to analyze.

Step 1: Logical Alignment

Goal: Piece together the "fragments" from different creators into one coherent picture.

Actions:

De-duplicate & Reorganize: Ignore the original structure of videos A, B, and C. Group all content by theme—definitions, history, applications, etc.

Unified Framework: Arrange insights in a logical progression (e.g., What → Why → How) to create a comprehensive Master Guide.

寫作

Step 2: Conflict Radar

Goal: Sharpen critical thinking by identifying where experts disagree.

Actions:

Spot Contradictions: Scan for opinion clashes across sources (e.g., Creator A recommends a tool while Creator B warns against it).

Side-by-Side Comparison: Output a table listing the Point of Contention, Creator A's View, Creator B's View, and the reasoning behind each.

Content gerated attached to the "Logical Alignment" page.

寫作

Step 3: Terminology Mapping

Goal: Eliminate confusion caused by different terms for the same concept.

Actions:

Identify Aliases: Detect when different speakers use different names for the same idea (e.g., "loss function" vs. "cost function").

Generate a Mapping Table: Standardize terminology with a reference chart that notes each creator's "dialect."

Content gerated attached to the "Logical Alignment" page, right behind Conflict Radar

寫作

Make sure the output from three steps are wirtten on the same page.