What Is Breidbart Index?

We all know that spam is a problem. That's why we created the Breidbart Index. The Breidbart Index, or BBI, was developed by Seth Breitbart to identify spam in newsgroups. It was initially created in 1993 and has become a staple of the internet community. The Breidbart Index is based on the notion that spam messages are identifiable by using certain words. The method's creator manually identified these words and then used them to create an index that could be used to identify spam messages. Users have used this method for over 20 years, claiming it works better than most other methods for identifying spam messages. Users need to note that while the Breidbart Index works well for identifying spam messages, it does not work as well at stopping them from occurring altogether. However, it does help users find out which types of posts should be eliminated as spam messages so that they can focus on those types instead of wasting time trying to block out everything else that might not be spamming their inbox. The Breidbart Index is a way to measure how many times a post is posted on a newsgroup or venue. It looks at both cumulative posting totals and excessive multi-posting. It also considers cross-posting, but only about the number of posts one person makes. The index takes the total number of seats and develops it to a lower number, so those who post excessively get their scores reduced even more quickly than those who do not. Any spam that exceeds 20 on the Breidbart Index is considered cancelable on-site. Professor Eric Breidbart developed the Breidbart Index at the University of California, Berkeley. It was initially intended as a tool for identifying spam on Usenet but has since been expanded to other forms of online communication, such as Twitter and Facebook.