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How Do Spam Filters Work?

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How Do Spam Filters Work?

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If you work with email on a daily basis, using a spam filter to quickly sort through irrelevant messages is a smart move. However, it’s important to have a basic understanding of how spam filters work. If you’re not using your spam filters properly, you may find yourself either flooded with junk or constantly searching for misplaced messages. Language spam filters are an easy type of spam filter to use, since they merely discard all emails not written in your native language. The Internet is a global marketplace, so spammers come from around the world. However, with language spam filters, you don’t have to be bothered by annoying sales pitches in a language you can’t read! Content spam filters use sophisticated programming rules to determine whether or not an email is likely to be spam based on the text of the message and other relevant characteristics. This approach is quite effective at minimizing spam, but it does occasionally result in the misdirection of requested email newsletter

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Spam filters are becoming more and more popular and essential for email users. As email becomes more popular, so does spam, but fortunately spam filter technology has been keeping up with unsolicited messages. Spam filters work fairly simply, and once you understand the method, you will be one step closer to protecting yourself. Spam filters look at a few parts of an email address, primarily the domain name or the part of the address located after the ampersand. This domain name refers back to the email service provider, which can be a big clue as to where an email comes from, and thus sometimes what kind of information it contains. Spam filters are programmed to recognize certain domain names currently associated with spam messages, but they also look at the subject line. Subject lines are required to be truthful about the content of the message, so some spam gets filtered automatically just based on the subject line alone. While spam filters are not foolproof, and occasionally filter

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SPAM filters contain a set of predefined keywords and trigger words. Sure, there are some obvious ones such as, “sex”, “for free!” or “extra income”. But, there are also some words that you might not expect. For starters, here are some of the default SPAM triggers found in Outlook: >From is blank Subject contains “advertisement” Body contains “money back ” Body contains “cards accepted” Body contains “removal instructions” Body contains “extra income” Subject contains “!” AND Subject contains “$” Subject contains “!” AND Subject contains “free” Body contains “,000” AND Body contains “!!” AND Body contains “$” Body contains “for free?” Body contains “for free!” Body contains “Guarantee” AND (Body contains “satisfaction” OR Body contains “absolute”) Body contains “more info ” AND Body contains “visit ” AND Body contains “$” Body contains “SPECIAL PROMOTION” Body contains “one-time mail” Subject contains “$$” Body contains “$$$” Body contains “order today” Body contains “order now!” Body

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Spam filters are ever changing automated programs that use algorithms (or complex rules) to determine if words are SPAM or not. BTW What does SPAM stand for? -“Stop Pornography and Abusive Marketing Act”. ” Regarding SPAM the rule is, “If it looks like a duck, walks like a duck, and quacks like a duck it’s a duck.”, then it probably is SPAM. The ultimate goal is to understand the classic SPAM triggers are so we as editors and senders can avoid them getting caught in SPAM or Content Filtered Traps (Content Filtering In part II). Some of the most common SPAM triggers are and not limited to; Large Email broadcasts sent from unapproved lists (Opt-In Part III), SPAM Traps, Spam Complaints, sending emails to Unknown email boxes, Subject line words and characters, and Open or incorrect HTML tags (Part III). These are all small pieces to the larger puzzle of inbox delivery, coupled with Content Filtering rules. Be cautious in changing your quantity of email sending habits known as “Volume Trig

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*Sadly, we had to bring back ads too. Hopefully more targeted.