README
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News Deframer
(If you are from brave.com please contact me. I want to share with you a closed source repo.) Thanks everybody for helping 💕.
News Deframer will detect journalistic neutrality and framing in news articles. By leveraging Large Language Models (LLMs), it analyzes the headlines and bodies.
It is implemented as dual use. It can act as an RSS feed analysis workflow or as a browser extension to provide a "framing score" and context, helping users decide if an article is worth reading or if it is heavily biased.
Here are examples with screenshots for our browser extension and RSS feed for very quick use on your mobile phone.
What this project is and is not
- This is not a fake news detector!
- This project uses an LLM acting as a neutral journalist to analyze content for bias and adherence to neutral language.
- We use open transparent prompts that can be run on any LLM.
Why is language analysis effective?
- We aim to help you avoid engaging with questionable headlines.
- Misinformation and speculation often rely on dark patterns, clickbait, and emotional triggers.
- Authors of misinformation often use disguise and vague language to avoid legal repercussions.
WARNING: We can have false positives / negatives.
Installation
Set up your own instance.
Chrome Extension
Install the Chrome Extension.
Overview
License
Directories
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cmd
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admin
command
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migration
command
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service
command
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service-cli
command
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worker
command
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pkg
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design
Package design goa service DSL
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Package design goa service DSL |
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openapiutil
Package openapiutil Services to allow modification of openapi3 file goa generated
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Package openapiutil Services to allow modification of openapi3 file goa generated |