!!/report stackoverflow.com/a/75219490 "Possibly spam (totally unrelated to the question other than being about Discord, link on SEO keyword), domain has spammed before but has non-spam links too. Definitely at least NAA."
(?:DIE){2,} has 5 TP and 0 FP. It is possibly a candidate for a blacklist, except most of the TPs were not recent. (?:DIE[\W_]*){2,} has more FPs, but also more TPs (20 TP, 2 FP, 1 NAA), so that's the one I'm going to go ahead and add to the watchlist. The FPs are uses of the German article, "die". In one case, it makes no sense for it to be twice in a row; in the second case, it does, because there were intervening characters.
Could also consider (?:DIE[\W_]?){2,}, which drops out 1 TP and 1 FP compared to allowing unlimited non-word characters. That's not a big enough improvement to be significant, though.
@CodyGray A normalized version, {{'7980441001'}}, of that pattern is already on the number watchlist. You can use !!/bisect-number 7980441001 to determine which entries on the number lists match that pattern, which would tell you: Matched by 7980441001 on line 3377 of watched_numbers.txt: 7980441001 found verbatim
@CodyGray A normalized version, {{'8871097153'}}, of that pattern is already on the number watchlist. You can use !!/bisect-number 8871097153 to determine which entries on the number lists match that pattern, which would tell you: Matched by 8871097153 on line 3377 of watched_numbers.txt: 8871097153 found verbatim
@CodyGray A normalized version, {{'8712186898'}}, of that pattern is already on the number watchlist. You can use !!/bisect-number 8712186898 to determine which entries on the number lists match that pattern, which would tell you: Matched by 8712186898(?#NO NorAm)(?# watched as +91-8712186898, but used in posts in shortened form) on line 3373 of watched_numbers.txt: 8712186898 found verbatim
@CodyGray A normalized version, {{'8712186898'}}, of that pattern is already on the number watchlist and the pattern you provided is not an exact match to an existing entry on the number watchlist. You can use !!/bisect-number 8712186898 to determine which entries on the number lists match that pattern, which would tell you: Matched by 8712186898(?#NO NorAm)(?# watched as +91-8712186898, but used in posts in shortened form) on line 3373 of watched_numbers.txt: 8712186898 found verbatim
Does this look like spam? Uniquely enough the author is using an archive link since they no longer own the domain (according to their profile). ux.stackexchange.com/a/145463/83293
@Laurel That's arguably better than it sitting at a negative score for hours without accumulating a single spam flag, as it having a score of zero could be taken as proof that no one had seen it before you did.
@CodyGray A normalized version, {{'8882305680', '18882305680'}}, of that pattern is already on the number watchlist and the pattern you provided is not an exact match to an existing entry on the number watchlist. You can use !!/bisect-number 1-888-230-5680 to determine which entries on the number lists match that pattern, which would tell you: Matched by 1 888230 5680 on line 3379 of watched_numbers.txt: 18882305680 found normalized
previously flagged https://stackoverflow.com/a/75265592 for undisclosed affiliation which mod added could be chatgpt in the flag response. They seem to have added one more https://stackoverflow.com/a/75265923 undisclosed affiliation
[ SmokeDetector | MS ] Link at beginning of answer, potentially bad asn for hostname in answer, potentially bad keyword in answer, potentially problematic ns configuration in answer (39): How to upload SVG in WordPress 4.9.8? by johns on wordpress.SE
@CodyGray That pattern looks like it's already caught by Blacklisted website in body and Blacklisted website in answer Append -force to the command word(s) if you really want to add the pattern you provided.
@CodyGray Matched by sris[\W_]*+(?:virginia[\W_]*+)?law(?:y[ae]rs?)?\d*\b(?!\.com(?:(?<=srislawyer\.com)|(?<=srislaw\.com)|(?<=srisvirginialawyer\.com))) on line 2744 of bad_keywords.txt
Goes from 2 TP, 10 FP to 2 TP, 1 FP. Could consider removing altogether, since the only TPs were 4 years ago, but looks like this should reduce the FPs enough that it is manageable to keep.
