Spam Folder: Difference between revisions

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When connecting to our email service over IMAP we will create a special folder named spam (lowercase). If you delete the spam folder it will be re-created next time you log in.

When connecting to our email service over IMAP we will create a special folder named <code>spam</code> (lowercase). If you delete the spam folder it will be re-created next time you log in.

Some email clients recognise this folder as being 'special' and may call it something else, e.g. our webmail calls it <code>Junk</code>

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The service will then move messages that ~~has~~ been classified as spam ~~in to~~ this folder. This helps

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The service will then move messages that have been classified as spam into this folder (unless you are doing your own Sieve filtering). This helps

keep your inbox free of spam and you should keep an eye on this folder in case there are messages

that are not spam.

Some email clients (e.g. K-9 Mail for Android) refuse to notify the user of new mail in the Spam folder. This behaviour can be corrected by declaring (e.g. in the account's folder settings) that there is no special Spam folder.

==Disabling the spam folder ==

To stop the mail system from putting spam (or any) messages then you can create an allow list for your address on the Control Pages.

If you use POP3, see: https://support.aa.net.uk/POP3_Tips

==Spam 'learning'==

Our spam checking system performs many checks on a

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==Checking the learning==

If you view the 'headers' of a message, you should see the spam report, and a line looking like:

If you view the '[[Email_Viewing_Headers|headers]]' of a message, you should see the spam report, and a line looking like:

-3.0 BAYES_00 BODY: Bayes spam probability is 0 to 1%

or perhaps

0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60%

Here you can see the 'Bayes spam probability' as a percentage.

In the first example the Bayes really thinks the message is not spam - it says 0-1%. The second example is less sure about it.

==Teaching the system==

If the 'Bayes spam probability' is incorrect, then it can be taught about

If the 'Bayes spam probability' is incorrect, then it can be taught about messages that it has got wrong in the following ways:

messages that it has got wrong in the following ways:

*Move a message '''OUT''' of the spam folder to tell the system it is '''NOT''' ~~spam~~

*Move a message '''OUT''' of the spam folder to tell the system it is '''NOT spam'''

*Move a message '''IN''' to the spam folder to tell the system it '''IS''' ~~spam~~

*Move a message '''IN''' to the spam folder to tell the system it '''IS spam'''

If you make a mistake, just move the message back.

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and you should see a change in the 'probability' in the headers.

==Legacy folders==

In the past we used to have a system that used folders called <code>learnham</code> and <code>learnspam</code> - this system is no longer used. These

folders can be removed.

[[Category:Email Features]]

[[Category:Email How to]]