You have undoubtedly noticed an increase in the quantity of spam that has been sent to your email inbox or posted on the newsgroup that you frequent most often. The Internet is facing an increasingly serious challenge as a result of the actions of a very small number of users.
Chain letters that ask for money in the United States, whether for reports or simply straight up, are against the law, regardless of whether they are sent via the mail or by email. Please notify the US Postmaster in your area about these scams. Someone may attempt to use your bank account to send twenty million dollars. The email may come from Nigeria or another nation in Africa and be sent by someone who wants to utilize your account. This con is known as a "419," and it has been responsible for the deaths of at least some individuals.
In the case of spam, several versions of the same message are sent out across the internet in an effort to reach those who have not voluntarily requested to receive the information. The vast majority of unsolicited electronic mail (spam) is unsolicited commercial advertising, often for questionable goods, get-rich-quick schemes, or shady services. Sending spam has a relatively little cost associated with it for the sender; the majority of the expenses associated with sending spam are borne by the receiver or the carriers rather than the sender. The receiver has little trouble identifying spam when they get it. If you hired someone to read your mail and delete the spam, they would have little issue doing so even if you instructed them to do so. How much work remains to be done in order to automate this procedure if we do not use artificial intelligence? I believe that we will be able to find a solution to the issue using algorithms that are not too complicated. In point of fact, I've discovered that all you need is a Bayesian combination of the spam probabilities of specific terms in order to filter out modern spam to an acceptable level of effectiveness. We are currently missing less than 5 out of every 1000 spams with zero false positives thanks to a Bayesian filter that has been significantly modified (as will be explained below).
Sending unsolicited email correspondence to mailing list distribution lists is a particularly odious kind of spam (public or private email discussion forums.) Because many mailing lists restrict activity to their subscribers, spammers will use automated tools to subscribe to as many mailing lists as possible in order to obtain lists of addresses or to use the mailing list as a direct target for their attacks. This allows them to take advantage of the fact that many mailing lists impose this restriction.