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I'm a researcher at UC Berkeley and the International Computer Science Institute. My colleagues and I are working on evaluating and improving the accuracy of blacklists. As part of this work, we'd like to hear from you about the blacklists you currently use, what you perceive as their strengths and weaknesses, and any thoughts you have on how they might be improved.
We've prepared an anonymous survey where you can share your views: https://berkeley.qualtrics.com/jfe/form/SV_200mg5hnQiAOgUl
If you have five to ten minutes free today to fill it out, I would greatly appreciate your help! Thank you, and please don't hesitate to respond to me with comments or questions.
(Apologies if you receive this message twice - trying to minimize cross-posting while still reaching a broad audience)