Overview
Objectively analyzes news articles for journalistic quality, rewriting headlines to remove bias, framing, and sensationalism.
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 Proxy or as a browser plugin to provide a "framing score" and context, helping users decide if an article is worth reading or if it is heavily biased. 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.
Details
- Version0.0.6
- UpdatedFebruary 13, 2026
- Offered byNews Deframer
- Size1.11MiB
- LanguagesEnglish
- Developer
Email
news.deframer@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
Support
For help with questions, suggestions, or problems, visit the developer's support site
