Feedback on the new Review Queue

Did you see this @eviltrout?

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Yes I’ve just been busy between the easter holiday and other stuff. I hope to look at this today.

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Update - after a day I did not get a third notice for this flagged user. The rest today only had one notice for each flagged user.

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I’ve identified a case where duplicate scores could be inserted if the job ran more than once. I’ve added a couple of fixes that I believe will address this issue:

https://github.com/discourse/discourse/commit/70097966edf058b7265b51bdf4539bb6cbf373b1

https://github.com/discourse/discourse/commit/fca3f53e9cef917a2a4ea312ac89a7e72d80d43f

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I’ve got a branch in good shape that allows a group to review items in a particular category. I will likely merge it early next week so people can start to try it out.

Since it’s new and somewhat experimental, it’s hidden behind a site setting enable_category_group_review. If you enable it, you can pick a group under category settings:

Members of that group will see the count of reviewable items in the header just like staff would, and can enter and review the content accordingly.

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Is there any help/manual that I could refer to for this?
https://meta.discourse.org/t/french-terms-translation/13416/206?u=benjol

I believe that’s from the Akismet plugin. Can you confirm @Roman_Rizzi

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Yes, it’s from Akismet. I answered in the original topic.

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I still have the issue of tags being stripped and then I cannot add tags on a category with restricted tags. This happened after min first post typing time I’m on v2.3.0.beta9 +113

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I still have some bugs on my list from this topic (and other places) which I plan on getting to soon. In the meantime, I’ve made a pretty big change to scores today that I feel needs a mention.

Scores are now hidden from the app (although still available in the API / Database). We found the numbers were too hard to explain to people.

The filtering that was previously on score is now “Minimum Priority”. You can choose low / medium / high. Low will always return everything, and medium / high are based on the percentiles of reviewable scores in the database.

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I just tried again and I still can’t reproduce this. I confirmed that I could enqueue a post with restricted tags, then edit them.

Is there anything else you can think of that might cause this? Is this category group reviewing? Or is it an admin/moderator approving?

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It was admin/mod approving. I don’t have anything to review at the moment so I’m afraid that’s all the info I have right now.

Following the hiding of scores above, I’ve replaced all the site settings that were based on scores with “Sensitivity”. You can choose “Disabled / Low / Medium / High” sensitivity and your discourse install will take that into account.

For example if you want the “auto close topic” behavior for flags to more sensitive you can adjust this:

(High sensitivity means a topic is more likely to be closed. Low sensitivity means it’s less likely.)

Feedback is welcome as always!

https://github.com/discourse/discourse/commit/89b84651c3f04aad45d10d66eeca87249c9710c2

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I feel like if we have to explain it this way, the help text for the setting should indicate that?

How about this? I can put it right in the select box and it’s even more clear.

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Looks good but it is actually “likelihood” https://en.wikipedia.org/wiki/Likelihood_function

I prefer “low / med / high” for the sensitivity though, just the help text needed to change.

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  1. I wish there was a one click way to see past reviews. Using the drop down it’s three clicks currently.

  2. When deleting a post and user from the review page, if the post was put under review because it was typed too fast, no URLs are added to the screening list.

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Done here: https://github.com/discourse/discourse/commit/912f1d83acbd6f67a606973d8e8c4ef4a1c9d526

Can’t you create a bookmark to the review URL you want to see?

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Thanks for reporting this, it’s fixed here:

https://github.com/discourse/discourse/commit/03b41319336ccb8483db1ab2b0b690fd6c40a9d8

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Like, a browser bookmark? I didn’t know those still existed :wink:

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