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Junk Filters

Exchange Online Junk Filters

The junk filtering component of Exchange Online is designed to be flexible, adapting to individual user input. It's a good idea to regularly review messages in the Junk Email folder to check for legitimate messages that were incorrectly classified as junk.

By right clicking on a message in the Junk folder and selecting the “Not Junk” option, a user can gradually train the filter to be more accurate and effective. There are also options to specify safe senders and blocked senders. These features of Exchange Online represent a vast improvement over our previous spam filtering capabilities (see below), which were not user configurable on an individual basis.

Legacy Spam Filters

Spam filters can be set in your email client to reduce the amount of spam you receive. You can direct spam messages to a special mail folder (like Spam or Junk) so you can review these messages and delete them at your leisure, saving you the time of sorting the 'good' e-mail from the 'bad' inside your inbox.

When e-mails are received at the University of Richmond, they are processed by a software package called Spam Assassin that assigns a spam score to each message. If there is a very high likelihood that an e-mail message contains spam, the mail header will contain a large number of s's. For example, the following score indicates that there is a high likelihood that the message is spam:

X-Spam-Level: ssssssssssssssssssss

If there is a very low likelihood that an e-mail message contains spam, the mail header will contain few if any s's. For example:

X-Spam-Level: ss

We suggest to start by setting up a spam filter with five s's (X-Spam-Level: sssss), which will filter most spam messages without filtering too many legitimate messages. After this is done, if you feel that too many spam messages are getting through to your inbox, remove s's from the filter. If you feel that too many legitimate messages are being scored as spam, add s's to the filter.

Configure Email Client with Spam Filter

Spam filters can be applied to the following email clients at the University of Richmond.

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