Information Monitoring System and Method
A method, computer program product, and computing system for: generating a plurality of synthetic AI-based users, wherein each of these synthetic AI-based users has a plurality of interests within a content platform; enabling the plurality of synthetic AI-based users to generate content within the content platform based, at least in part, upon the plurality of interests; identifying a piece of content for addressing with the plurality of synthetic AI-based users, thus defining target content; and generating a response to the target content.
1 . A computer-implemented method, executed on a computing device, comprising:
generating a plurality of synthetic AI-based users, wherein each of these synthetic AI-based users has a plurality of interests within a content platform;
enabling the plurality of synthetic AI-based users to generate content within the content platform based, at least in part, upon the plurality of interests;
identifying a piece of content for addressing with the plurality of synthetic AI-based users, thus defining target content; and
generating a response to the target content.
2 . The computer-implemented method of claim 1 wherein the plurality of synthetic AI-based users includes:
a plurality of content platform bot accounts.
3 . The computer-implemented method of claim 1 wherein enabling the plurality of synthetic AI-based users to generate content within a content platform based, at least in part, upon the plurality of interests includes:
enabling the plurality of synthetic AI-based users to generate one or more original pieces of content for posting within the content platform.
4 . The computer-implemented method of claim 1 wherein enabling the plurality of synthetic AI-based users to generate content within a content platform based, at least in part, upon the plurality of interests includes:
enabling the plurality of synthetic AI-based users to recycle one or more pieces of content for posting within the content platform.
5 . The computer-implemented method of claim 1 wherein identifying a piece of content for addressing with the plurality of synthetic AI-based users, thus defining target content includes:
vectorizing the target content, thus defining vectorized target content; and
comparing the vectorized target content to a pool of vectorized known undesirable information and/or a pool of vectorized known desirable information to classify the target content.
6 . The computer-implemented method of claim 1 wherein generating a response to the target content includes:
generating a response that contradicts the target content.
7 . The computer-implemented method of claim 1 wherein generating a response to the target content includes:
generating a response that reinforces the target content.
8 . The computer-implemented method of claim 1 wherein generating a response to the target content includes:
generating a response to the target content using a generative AI model.
9 . The computer-implemented method of claim 8 wherein generating a response to the target content using a generative AI model includes:
generating a response to the target content using the generative AI model and a contradiction instruction script when the response to the target content contradicts the target content.
10 . The computer-implemented method of claim 8 wherein generating a response to the target content using a generative AI model includes:
generating a response to the target content using the generative AI model and a reinforcement instruction script when the response to the target content reinforces the target content.
11 . A computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
generating a plurality of synthetic AI-based users, wherein each of these synthetic AI-based users has a plurality of interests within a content platform;
enabling the plurality of synthetic AI-based users to generate content within a content platform based, at least in part, upon the plurality of interests;
identifying a piece of content for addressing with the plurality of synthetic AI-based users, thus defining target content; and
generating a response to the target content.
12 . The computer program product of claim 11 wherein the plurality of synthetic AI-based users includes:
a plurality of content platform bot accounts.
13 . The computer program product of claim 11 wherein enabling the plurality of synthetic AI-based users to generate content within a content platform based, at least in part, upon the plurality of interests includes:
enabling the plurality of synthetic AI-based users to generate one or more original pieces of content for posting within the content platform.
14 . The computer program product of claim 11 wherein enabling the plurality of synthetic AI-based users to generate content within a content platform based, at least in part, upon the plurality of interests includes:
enabling the plurality of synthetic AI-based users to recycle one or more pieces of content for posting within the content platform.
15 . The computer program product of claim 11 wherein identifying a piece of content for addressing with the plurality of synthetic AI-based users, thus defining target content includes:
vectorizing the target content, thus defining vectorized target content; and
comparing the vectorized target content to a pool of vectorized known undesirable information and/or a pool of vectorized known desirable information to classify the target content.
16 . The computer program product of claim 11 wherein generating a response to the target content includes:
generating a response that contradicts the target content.
17 . The computer program product of claim 11 wherein generating a response to the target content includes:
generating a response that reinforces the target content.
18 . The computer program product of claim 11 wherein generating a response to the target content includes:
generating a response to the target content using a generative AI model.
19 . The computer program product of claim 18 wherein generating a response to the target content using a generative AI model includes:
generating a response to the target content using the generative AI model and a contradiction instruction script when the response to the target content contradicts the target content.
20 . The computer program product of claim 18 wherein generating a response to the target content using a generative AI model includes:
generating a response to the target content using the generative AI model and a reinforcement instruction script when the response to the target content reinforces the target content.
21 . A computing system including a processor and memory configured to perform operations comprising:
generating a plurality of synthetic AI-based users, wherein each of these synthetic AI-based users has a plurality of interests within a content platform;
enabling the plurality of synthetic AI-based users to generate content within a content platform based, at least in part, upon the plurality of interests;
identifying a piece of content for addressing with the plurality of synthetic AI-based users, thus defining target content; and
generating a response to the target content.
22 . The computing system of claim 21 wherein the plurality of synthetic AI-based users includes:
a plurality of content platform bot accounts.
23 . The computing system of claim 21 wherein enabling the plurality of synthetic AI-based users to generate content within a content platform based, at least in part, upon the plurality of interests includes:
enabling the plurality of synthetic AI-based users to generate one or more original pieces of content for posting within the content platform.
24 . The computing system of claim 21 wherein enabling the plurality of synthetic AI-based users to generate content within a content platform based, at least in part, upon the plurality of interests includes:
enabling the plurality of synthetic AI-based users to recycle one or more pieces of content for posting within the content platform.
25 . The computing system of claim 21 wherein identifying a piece of content for addressing with the plurality of synthetic AI-based users, thus defining target content includes:
vectorizing the target content, thus defining vectorized target content; and
comparing the vectorized target content to a pool of vectorized known undesirable information and/or a pool of vectorized known desirable information to classify the target content.
26 . The computing system of claim 21 wherein generating a response to the target content includes:
generating a response that contradicts the target content.
27 . The computing system of claim 21 wherein generating a response to the target content includes:
generating a response that reinforces the target content.
28 . The computing system of claim 21 wherein generating a response to the target content includes:
generating a response to the target content using a generative AI model.
29 . The computing system of claim 28 wherein generating a response to the target content using a generative AI model includes:
generating a response to the target content using the generative AI model and a contradiction instruction script when the response to the target content contradicts the target content.
30 . The computing system of claim 28 wherein generating a response to the target content using a generative AI model includes:
generating a response to the target content using the generative AI model and a reinforcement instruction script when the response to the target content reinforces the target content.