This would obviously help in maintaining the integrity and accuracy of your blacklisting system as it’s a positive step that you have a process for addressing incorrect reports.
What is your target response time for handling appeals, and how will you ensure that reports are reviewed promptly?
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Ok that is a nice answer though I still maintain that there should be a method for verifying the scam reports of users before adding them to the scam database to maintain accuracy.
In help safeguarding users from scam, do you think there is a way developers can utilize your collective scam database to build better tools or platforms that can protect users from scams?
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Thank you for your feedback! I completely agree that verifying scam reports before adding them to the database is essential to maintain accuracy and trust. We plan to introduce a verification process that includes both community input (via voting) and manual review to minimize false reports.
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I think Auror is a really useful tool! But how will users who want to stay safe but aren’t aware of your platform benefit from your project? For instance, if your database has 1,000 scam domains, how will users be alerted if they visit one of those reported sites? Maybe a browser extension or integration with existing wallets could help?
cc: @SimbadMarino
@auror I read your project description 2 times, but couldn’t get what’s the relation of this project with TRON Blockhain? (You also didn’t mention anything about it, I couldn’t see in website too)
1 point: In test instructions you put “.” at the end of link, so it takes us to error page. Just kindly fix that part please
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