Where did you install Firefox from? Help Mozilla uncover 3rd party websites that offer problematic Firefox installation by taking part in our campaign. There will be swag, and you'll be featured in our blog if you manage to report at least 10 valid reports!

Zoeken in Support

Vermijd ondersteuningsscams. We zullen u nooit vragen een telefoonnummer te bellen, er een sms naar te sturen of persoonlijke gegevens te delen. Meld verdachte activiteit met de optie ‘Misbruik melden’.

Learn More

Deze conversatie is gearchiveerd. Stel een nieuwe vraag als u hulp nodig hebt.

spam function not working

  • 1 antwoord
  • 2 hebben dit probleem
  • 11 weergaven
  • Laatste antwoord van Zenos

more options

I keep getting hundreds of e-mails in a foreign language (looks like Korean). I designate them as junk, but it seems that Thunderbird isn't being "trained" to recognize them as spam and automatically send them to junk folder.

I keep getting hundreds of e-mails in a foreign language (looks like Korean). I designate them as junk, but it seems that Thunderbird isn't being "trained" to recognize them as spam and automatically send them to junk folder.

Alle antwoorden (1)

more options

In the comparatively rare cases, such as yours, where the unwanted messages have a consistent distinguishing factor I'd look at setting up a filter to deal with them. However, it's quite possible that there is no specific mention of the language being used.

The junk training system looks at the frequency of words being used in email messages. It doesn't care what language they are in, as it doesn't try to understand the words, and the tiny part of email message headers that declare the encoding, even if it specifically mentioned a language (and that's unlikely with the spreading use of unicode) almost certainly isn't included in the Junk Controls' analysis of your messages.

Spammers often load their messages with large swathes of random text, usually hidden, which "dilute" the spammy part of their message. The word counter gets busy counting all the normal words, and so the relative contribution of spammy words is small in proportion to the entire message's word count. Keep on training; it may eventually collect enough words in the foreign language to be able to develop an association with their spamminess.