Systems and methods for categorizing and moderating user-generated content in an online environment
Exemplary embodiments provide systems, devices and methods for computer-based categorization and moderation of user-generated content for publication of the content in an online environment. Exemplary embodiments determine a likelihood that the user-generated content falls into a first selected category unsuitable for publication. The likelihood is compared to a first set of threshold values and then, in this embodiment, it is determined whether to electronically publish the content in the online environment based on the comparison.
1. A computer-implemented method, comprising:
receiving, by a server processor, content to be published in an online environment;
determining, by the server processor, a first numeric likelihood indicating that the content falls into a first selected category unsuitable for publication;
comparing, by the server processor, the first numeric likelihood to a first set of threshold values associated with the first selected category; and
based on comparing the first numeric likelihood to the first set of threshold values, determining, by the server processor, whether to electronically publish the content in the online environment.
2. The computer-implemented method of claim 1 , wherein the received content is generated by a user, and the method further comprises assigning, to the user, a value indicative of a capability of the user to generate content suitable for publication on a web page.
3. The method of claim 2 , further comprising:
establishing that the content is unsuitable for publication on the web page based on the assigned value indicative of a capability of the user to generate content suitable for publication on the web page.
4. The method of claim 1 , further comprising, when the first numeric likelihood is determined to exceed a first threshold value of the first set of threshold values, determining whether the first numeric likelihood exceeds a second threshold value of the first set of threshold values.
5. The method of claim 4 , further comprising establishing that the received content is unsuitable for publication on the web page, when the first numeric likelihood is determined to exceed the second threshold value of the first set of threshold values.
6. The method of claim 1 , further comprising:
determining whether the received content includes non-word textual features.
7. The method of claim 1 , wherein:
storing, at a computer-readable media, one or more of a unique user ID, a total number of content generated by the user, or the total number of content generated by the user excluded from publication.
8. A system, comprising:
at least one processor; and
a storage device that stores a set of instructions, the set of instructions being executable by the at least one processor to cause the at least one processor to implement the steps of:
receiving, by a server processor, content to be published in an online environment;
determining, by the server processor, a first numeric likelihood indicating that the content falls into a first selected category unsuitable for publication;
comparing, by the server processor, the first numeric likelihood to a first set of threshold values associated with the first selected category; and
based on comparing the first numeric likelihood to the first set of threshold values, determining, by the server processor, whether to electronically publish the content in the online environment.
9. The system of claim 8 , wherein the received content is generated by a user, and the method further comprises assigning, to the user, a value indicative of a capability of the user to generate content suitable for publication on a web page.
10. The system of claim 9 , wherein the system is further configured to execute the method further comprising:
establishing that the content is unsuitable for publication on the web page based on the assigned value indicative of a capability of the user to generate content suitable for publication on the web page.
11. The system of claim 8 , further comprising, when the first numeric likelihood is determined to exceed a first threshold value of the first set of threshold values, determining whether the first numeric likelihood exceeds a second threshold value of the first set of threshold values.
12. The system of claim 11 , further comprising establishing that the received content is unsuitable for publication on the web page, when the first numeric likelihood is determined to exceed the second threshold value of the first set of threshold values.
13. The system of claim 8 , further comprising:
determining whether the received content includes non-word textual features.
14. The system of claim 8 , wherein:
storing, at a computer-readable media, one or more of a unique user ID, a total number of content generated by the user, or the total number of content generated by the user excluded from publication.
15. A tangible, non-transitory computer-readable medium that stores a set of instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:
receiving, by a server processor, content to be published in an online environment;
determining, by the server processor, a first numeric likelihood indicating that the content falls into a first selected category unsuitable for publication;
comparing, by the server processor, the first numeric likelihood to a first set of threshold values associated with the first selected category; and
based on comparing the first numeric likelihood to the first set of threshold values, determining, by the server processor, whether to electronically publish the content in the online environment.
16. The computer-readable medium of claim 15 , wherein the received content is generated by a user, and the method further comprises assigning, to the user, a value indicative of a capability of the user to generate content suitable for publication on a web page.
17. The computer-readable medium of claim 16 , wherein the set of instructions further cause the at least one processor to:
establish that the content is unsuitable for publication on the web page based on the assigned value indicative of a capability of the user to generate content suitable for publication on the web page.
18. The computer-readable medium of claim 15 , further comprising, when the first numeric likelihood is determined to exceed a first threshold value of the first set of threshold values, determining whether the first numeric likelihood exceeds a second threshold value of the first set of threshold values.
19. The computer-readable medium of claim 18 , further comprising establishing that the received content is unsuitable for publication on the web page, when the first numeric likelihood is determined to exceed the second threshold value of the first set of threshold values.
20. The computer-readable medium of claim 15 , further comprising:
storing, at a computer-readable media, one or more of a unique user ID, a total number of content generated by the user, or the total number of content generated by the user excluded from publication.