Spam flood detection methodologies
View Patent ↗A computer-implemented method analyzes a website to determine whether the website represents a potential source of spam, and, in response to the analyzing, flags content of the website as spam content. The determination can be made by computing a total number of content items associated with the website, calculating a publication frequency of the content items, and determining whether the website in its entirety represents spam content based on the total number and the publication frequency. The determination could also be made by generating a signature of a webpage containing a content item, obtaining an occurrence count for the generated characterizing signature, and, when the obtained occurrence count is greater than a threshold count, identifying the content item as spam.
1. A computer-implemented method comprising:
analyzing characteristics of a website to determine whether the website represents a potential source of spam content, wherein the analyzing comprises:
computing a total number of posts associated with the website;
calculating a publication frequency for the total number of posts in posts per minute based on a ratio of the computed total number of content items to a difference between a publication time of a newest content item in the website and a publication time of an oldest content item in the website; and
determining whether the website in its entirety represents spam content, based on the computed total number and the calculated publication frequency, wherein the determining comprises: comparing the calculated publication frequency to a threshold frequency; and when the calculated publication frequency is greater than the threshold frequency, identifying the website in its entirety as spam content; and
in response to the analyzing, flagging the website in its entirety as spam content.
2. The computer-implemented method of claim 1 , further comprising:
filtering the spam content from stored webcrawler data to obtain filtered webcrawler data; and
outputting the filtered webcrawler data for presentation to a user.
3. The computer-implemented method of claim 1 , wherein the determining further comprises:
comparing the computed total number to a threshold number; and
when the computed total number is less than the threshold number, identifying the website in its entirety as non-spam content.
4. The computer-implemented method of claim 1 , wherein the threshold frequency is less than five posts per minute.
5. The computer-implemented method of claim 1 , wherein the determining comprises:
comparing the computed total number to a threshold number;
when the computed total number is less than the threshold number, identifying the website in its entirety as non-spam content; and
when the computed total number is greater than or equal to the threshold number:
comparing the calculated publication frequency to the threshold frequency;
when the calculated publication frequency is less than or equal to the threshold frequency, identifying the website in its entirety as non-spam content.
6. A computing system comprising a processor and a memory having computer-executable instructions stored thereon that, when executed by the processor, cause the computing system to:
analyze characteristics of a website to determine whether the website represents a potential source of spam content:
compute a total number of posts associated with the website;
calculate a publication frequency for the total number of posts in posts per minute based on a ratio of the computed total number of content items to a difference between a publication time of a newest content item in the website and a publication time of an oldest content item in the website;
compare the computed total number to a threshold number;
when the computed total number is less than the threshold number, identify the website in its entirety as non-spam content; and
when the computed total number is greater than or equal to the threshold number:
compare the calculated publication frequency to a threshold frequency;
when the calculated publication frequency is greater than the threshold frequency, identify the website in its entirety as spam content; and
when the calculated publication frequency is less than or equal to the threshold frequency, identify the website in its entirety as non-spam content; and
flag the website in its entirety as spam content.
7. A tangible and non-transitory computer readable medium having computer-executable instructions stored thereon that, when executed by a processor, perform a method comprising:
analyzing characteristics of a website to determine whether the website represents a potential source of spam content by:
computing a total number of posts associated with the website;
calculating a publication frequency for the total number of posts in posts per minute based on a ratio of the computed total number of content items to a difference between a publication time of a newest content item in the website and a publication time of an oldest content item in the website; and
determining whether the website in its entirety represents spam content, based on the computed total number of posts and the calculated publication frequency; and flagging, in response to the analyzing, the website in its entirety as spam content.