News Analysis
Analyzes news content, determining audience, slant, perspective, and demographics, and generates critiques from specified audiences regarding public affairs communications.
Karl Cain's GPT model 'News Analysis' is a powerful tool designed to analyze news content, assess audience reception, identify perspective and bias, and provide critiques related to public affairs communications. This tool utilizes Python, DALL-E, and browser integration for effective functionality. It offers prompt starters for users to input news text through various formats. With regular updates and continuous improvement, News Analysis stands out as a valuable resource for those seeking in-depth news analysis and critique generation in the digital space.
How to use
To effectively use the 'News Analysis' GPT model, follow these steps:
- Access the tool using the provided welcome message or designated platform.
- Input the news content you want to analyze by either pasting text, URLs for news summaries, or articles in 'Reader' view.
- Select the audience parameters or demographics for a tailored analysis.
- Initiate the analysis process and review the generated critiques and perspectives provided by the model.
Features
- Analyzes news content and provides audience insights.
- Determines slant, perspective, and demographics for effective critique generation.
- Integration with Python, DALL-E, and browser tools for enhanced functionality.
- Regular updates and improvements for accurate analysis results.
- Flexible prompt starters for inputting news content through different formats.
Updates
2024/02/03
Language
English (English)
Prompt starters
- Paste text with news piece
- Paste URL for a summary of news piece only
- Paste article/blog text from "Reader" view
Tools
- python
- dalle
- browser
Tags
public
reportable