Intelligent Media Analysis: Comparing News Coverage Across Outlets

Objective: 
We are looking for an AI solution that can automatically identify news articles from different content creators (national media outlets, influencers, etc.) that report on the same event as a given reference article. 

The system should not only find related content but also generate a map of similarities between the reference article and related ones. This map should analyze the professional and stylistic choices made by each outlet, providing quantitative and qualitative evaluations of coverage and assessing the social media impact of each article. 

 Key Tasks: 

1. Identify the Event: 
   Extract and understand the main event, people, locations, and actions described in the reference article. 

2. Find Related Publications: 
   Search across various media creators for other news stories covering the same event. 

3. Analyze Media Coverage: 
   Compare how each outlet presents the event by examining professional and stylistic decisions, such as: 

   • Article length (brief vs. long-form) 

   • Prominence or placement of the story (highlighted, viral, or not) 

   • Number of perspectives included (single viewpoint vs. multiple viewpoints) 

   • Diversity of perspectives (similar or varied approaches) 

   • Focus and emphasis (what is highlighted or downplayed)

4. Score Relevance: 
   Evaluate how closely each related article aligns with the original reference article. 

5. Include Social Media Insights: 
   Analyze social media discussions and reactions surrounding each article.

 Materials Provided: 

• A reference news article. 

• A list of content creators to be analyzed.

 Requirements: 

• High accuracy in identifying articles about the same event. 

• Ability to process multiple media formats (text, video, and audio). 

• Generates a clear and comprehensive report including: 

  • Editorial comparisons (professional and stylistic choices) 

  • Relevance scores 

  • Social media insights