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An email inbox containing a large amount of spam messages. Spamming is the use of messaging systems to send multiple unsolicited messages (spam) to large numbers of recipients for the purpose of commercial advertising, non-commercial proselytizing, or any prohibited purpose (especially phishing), or simply repeatedly sending the same message to the same user.
An email box folder filled with spam messages.. Email spam, also referred to as junk email, spam mail, or simply spam, is unsolicited messages sent in bulk by email ().The name comes from a Monty Python sketch in which the name of the canned pork product Spam is ubiquitous, unavoidable, and repetitive. [1]
Select the email. Click Spam.; If you're given the option, click Unsubscribe and you will no longer receive messages from the mailing list. If you click the "Mark as Spam" icon, the message will be marked as spam and moved into the spam folder.
While 99.9% of spam, malware and phishing emails are being caught by our spam filters, occasionally some can slip through. When this happens, it's very important to mark the email as spam, then our system will learn that messages from a specific sender aren't good and helps us make AOL Mail even better at recognizing future spam emails.
Various anti-spam techniques are used to prevent email spam (unsolicited bulk email).. No technique is a complete solution to the spam problem, and each has trade-offs between incorrectly rejecting legitimate email (false positives) as opposed to not rejecting all spam email (false negatives) – and the associated costs in time, effort, and cost of wrongfully obstructing good mail.
Unsolicited Bulk Email (Spam) AOL protects its users by strictly limiting who can bulk send email to its users. Info about AOL's spam policy, including the ability to report abuse and resources for email senders who are being blocked by AOL, can be found by going to the Postmaster info page.
3. Try a third-party program to help. There are a bunch of apps that can be employed to help protect you from spam or weed out spammers that already have your info.
They typically use bag-of-words features to identify email spam, an approach commonly used in text classification. Naive Bayes classifiers work by correlating the use of tokens (typically words, or sometimes other things), with spam and non-spam e-mails and then using Bayes' theorem to calculate a probability that an email is or is not spam.