Systems and Methods for Identifying, Tracking, and Managing a Plurality of Social Network Users Having Predefined Characteristics

Abstract

The present specification describes an integrated technology platform that can enable a marketplace and provide self-serve dashboards configured to empower brands and social media influencers to directly connect with each other. The disclosed systems provide social media influencer marketing platforms that manage influencer relationships and marketing campaigns from end-to-end, offer less reliance on middlemen and their experience, and provide a broader, more-integrated set of tools to connect the needs of brands, agencies, influencers, and the social media users. The system comprises an integrated platform that enables an advertising party to find social media influencers who are most suited to the brands' contexts, market appeal, and demographic targets, helps build and manage relationships with the influencers, and identifies fake influencers using machine learning models.

We claim: 
     
         1 . A method of using a software platform configured to enable a first user to engage with at least one second user in order to generate content targeted towards users of one or more social media networks, the method being implemented by at least one server executing a plurality of programmatic instructions and comprising:
 generating data indicative of a first graphical user interface, wherein the first graphical user interface, when displayed on a computing device associated with the first user, enables the first user to input at least one of a plurality of criteria indicative of a desirable second user;   based on data received from the first user via the first graphical user interface, identifying the at least one second user and generating data indicative of the at least one second user;   enabling the first user to issue a request to the at least one second user for a project designed to generate the content for distribution in the one or more social media networks;   generating data indicative of a second graphical user interface, wherein the second graphical user interface, when displayed on a computing device associated with the at least one second user, enables the at least one second user to receive the request;   generating data indicative of a third graphical user interface, wherein the third graphical user interface, when displayed on the computing device associated with the at least one second user, enables the at least one second user to submit a proposal in response to the request;   receiving an indication that the proposal is accepted by the first user;   in response to the indication, configuring the proposal into a blockchain data structure;   receiving a first set of data from the first user, wherein the first set of data is responsive to the proposal and responsive to the blockchain data structure;   receiving a second set of data from the at least one second user, wherein the second set of data is responsive to the proposal and responsive to the blockchain data structure;   enabling the at least one second user to communicate the content to the first user for approval, wherein the content is in a first format; and   providing access to one or more resources to the at least one second user based on the blockchain data structure.   
     
     
         2 . The method of  claim 1 , wherein the plurality of criteria includes at least two of brand affinity, personality archetype, content topic, gender, age, location, language, ethnicity, religion, income, interest, occupation, sentiment and hashtag. 
     
     
         3 . The method of  claim 1 , wherein the proposal comprises data indicative of at least one of a scope of work, milestones, evaluation metrics or penalties for late or poor work delivery. 
     
     
         4 . The method of  claim 1 , wherein the content is configured to be distributed in the one or more social media networks in a second format and wherein the second format has a higher resolution than the first format. 
     
     
         5 . The method of  claim 1 , wherein the first format comprises a visible watermark obstructing at least part of one or more frames or images of the content. 
     
     
         6 . The method of  claim 1 , further comprising, after providing access to the one or more resources, providing access to the content in a second format to the first user, wherein the second format has at least one of a higher resolution, a less visible watermark, or less noise than the content in the first format. 
     
     
         7 . The method of  claim 6 , further comprising distributing the content in the second format to the users of one or more social media networks. 
     
     
         8 . The method of  claim 7 , further comprising, prior to said distributing, applying a machine learning model to the content in the second format to identify restricted portions of the content. 
     
     
         9 . A system for determining activity of a creator as fake on at least one social media network, wherein the system comprises a plurality of programmatic instructions that, when executed by at least one processor:
 execute a first machine learning model configured to receive, as inputs, data associated with followers of the creator and predict, as outputs, bought followers by estimating values of a first plurality of features; and   execute a second machine learning model configured to receive, as inputs, data associated with the creator and predict, as output, bought likes by estimating values of a second plurality of features, wherein activities of the creator are determined to be fake based on the estimated values of the first plurality of features and/or the estimated values of the second plurality of features.   
     
     
         10 . The system of  claim 9 , wherein the first plurality of features is based on profile information of the creator. 
     
     
         11 . The system of  claim 9 , wherein the first plurality of features comprise at least one of a ratio of a number of individuals are following the creator relative to a number of individuals that are being followed by the creator, a length of description, a username, a full name, differences between the full name and the username, a number of digits in the username, a function of a number of posts to the number of individuals who are following the creator, or a function of the number of posts to the number of individuals who being following by the creator. 
     
     
         12 . The system of  claim 9 , wherein the second plurality of features are derived from information indicative of posts of the creator. 
     
     
         13 . The system of  claim 9 , wherein the second plurality of features comprise at least one of a mean of a number of likes or comments on posts of the creator to the at least one social media network, a median of the number of likes or comments on the posts of the creator to the at least one social media network, or deviations of a distribution of the number of likes or comments on the posts of the creator to the at least one social media network. 
     
     
         14 . The system of  claim 9 , wherein the second plurality of features comprise at least one of a mean of a frequency of posting by the creator to the at least one social media network, a median of a frequency of posting by the creator to the at least one social media network, or deviations of a distribution of frequencies of posting by the creator to the at least one social media network. 
     
     
         15 . The system of  claim 9 , wherein the validation of the first machine learning model and the second machine learning model are determined by computing areas under receiver operating characteristic curve score, precision and/or recall metrics. 
     
     
         16 . The system of  claim 15 , further comprising modulating the precision metric to be higher with a lower recall metric or to be lower with a higher recall metric based on a desired level of accuracy for the first machine learning model or second machine learning model predictions of fake activity or non-fake activity. 
     
     
         17 . The system of  claim 9 , wherein the estimated values of the first plurality of features and second plurality of features are Shapley values.