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# Privacy scoring options to consider
![alt text](https://github.com/Msiusko/web3privacy/blob/main/Web3privacynowplatform/Staticobjects/Screenshot%202023-02-04%20at%2017.03.45.png?raw=true)
# Privacy scoring modelling research
**Note**: _final scoring model shouldn't be too complex to execute._
**Approach**
1. **Expert take**. Outreach privacy experts behind core privacy services - aggregate their professional opinions how to analyse if a service is truly private or not.
2. **Scoring model prototyping**. Create an open & flexible scoring model for a communal feedback loop - share with privacy community, evaluate.
3. **Scoring model MVP release**. Deliver balanced model for privacy services assesment - powered by pros & general public opinions.
![alt text](https://github.com/Msiusko/web3privacy/blob/main/Web3privacynowplatform/Staticobjects/Screenshot%202023-02-04%20at%2017.03.45.png?raw=true)
## On-going community research (survey) within the privacy experts.
I've asked privacy experts behind privacy-services or privacy-centric communities to contribute with their visions on how to analyse if a service is private or not. Answers were collected via chats or Survey [form](https://forms.gle/ETBEZed9LUUtLWT87)