Claims:CLAIMS
We claim:
1. A method for generating a social reputation index, comprising:
receiving, by an electronic device (100), one or more information associated with an online user, wherein the one or more information is received from one or more an online content, a social media content, a news information and a user input;
monitoring, by the electronic device (100), behavior of the online user; and
generating, by the electronic device (100), one or more social reputation index for the online user in response to monitoring the behavior of the online user, wherein the one or more social reputation index indicates a trust level of the online user, wherein the one or more social reputation index is determined based on a basis expertise associated with the one or more information, a demography, and knowledge on the one or more information.

2. The method as claimed in claim 1, wherein monitoring, by the electronic device (100), the behavior of the online user comprises:
acquiring, by the electronic device (100), the behavior of the online user associated with at least one of social site, web pages, location, and blogs; and
monitoring, by the electronic device (100), the behavior of the online user based on the acquired behavior of the online user.

3. The method as claimed in claim 1, wherein the method further comprises:
ranking, by the electronic device (100), the one or more social reputation index for the one or more information.

4. The method as claimed in claim 1, wherein the method further comprises:
determining, by the electronic device (100), the one or more information as accurate or fake based on the generated one or more social reputation index.

5. The method as claimed in claim 2, wherein acquiring, by the electronic device (100), the behavior of the online user associated with at least one of social site, web pages, location, and blogs comprises:
parsing the behavior of the online user associated with at least one of social site, web pages, location, and blogs;
validating the behavior of the online user associated with at least one of social site, web pages, location, and blogs, wherein the behavior of the online user is validated using at least one of an Artificial intelligence (AI) model and a machine learning (ML) model; and
acquiring, by the electronic device, the behavior of the online user associated with at least one of social site, web pages, location, and blogs

6. An electronic device (100) for generating a social reputation index, comprising:
a processor (140);
a memory (130); and
a data driven based social reputation index controller (110), coupled with the processor (140) and the memory (130), configured to:
receive one or more information associated with an online user, wherein the one or more information is received from one or more an online content, a social media content, a news information and a user input;
monitor behavior of the online user; and
generate the one or more social reputation index for the one or more information in response to monitoring the behavior of the online user, wherein the one or more social reputation index indicates a trust level of the online user, wherein the one or more social reputation index is determined based on a basis expertise associated with the one or more information, a demography, and knowledge on the one or more information.

7. The electronic device (100) as claimed in claim 6, wherein monitor the behavior of the online user comprises:
acquire the behavior of the online user associated with at least one of social site, web pages, location, and blogs; and
monitor the behavior of the online user based on the acquired behavior of the online user.

8. The electronic device (100) as claimed in claim 6, wherein the data driven based social reputation index controller (110) is configured to rank the one or more social reputation index for the one or more information.

9. The electronic device (100) as claimed in claim 6, wherein the data driven based social reputation index controller (110) is configured to determine the one or more information as accurate or fake based on the generated social reputation index.

10. The electronic device (100) as claimed in claim 7, wherein acquire the behavior of the online user associated with at least one of social site, web pages, location, and blogs comprises:
parse the behavior of the online user associated with at least one of social site, web pages, location, and blogs;
validate the behavior of the online user associated with at least one of social site, web pages, location, and blogs, wherein the behavior of the online user is validated using at least one of an Artificial intelligence (AI) model and a machine learning (ML) model; and
acquire the behavior of the online user associated with at least one of social site, web pages, location, and blogs

Dated this 10th June, 2021
Signatures:
Name of the Signatory: Yasir Arafath
Patent Agent No- 3798

, Description:FORM 2
The Patent Act 1970
(39 of 1970)
&
The Patent Rules, 2005

COMPLETE SPECIFICATION
(SEE SECTION 10 AND RULE 13)

TITLE OF THE INVENTION

“Method and electronic device for generating social reputation index”

APPLICANT:
Name : Lieko Technologies Pvt Ltd

Nationality : India

Address : 401 B, Surubhi Enclave, Nagras Road, Pune, Maharashtra, India, 411007

The following specification particularly describes and ascertains the nature of this invention and the manner in which it is to be performed:-

FIELD OF INVENTION
[0001] The present disclosure relates to an online system, and more specifically related to a method and an electronic device for generating a social reputation index for a user (e.g., online content creator or the like).

BACKGROUND OF INVENTION
[0002] Information is easily dispersed through a social media, the Internet, a television, and many other online source, so that an accuracy of the information is often questionable or even incorrect. Although there are many fact checkers, they typically suffer from various issues.
[0003] Thus, it is desired to address the above mentioned disadvantages or other shortcomings or at least provide a useful alternative.

OBJECT OF INVENTION
[0004] The principal object of the embodiments herein is to provide a method and an electronic device for generating a social reputation index for a user (e.g., online content creator or the like).

SUMMARY OF INVENTION
[0005] Accordingly, embodiments herein disclose a method for generating a social reputation index. The method includes receiving, by an electronic device, one or more information associated with an online user (e.g., online content creator or the like), where the one or more information is received from one or more an online content, a social media content, a news information and a user input. Further, the method includes monitoring, by the electronic device, behavior of the online user. Further, the method includes generating, by the electronic device, the social reputation index for the one or more information in response to monitoring the behavior of the online user. The social reputation index indicates a trust level of the online user, wherein the social reputation index is determined based on a basis expertise associated with the one or more information, a demography, and knowledge on the one or more information.
[0006] In an embodiment, monitoring, by the electronic device, the behavior of the online user includes acquiring, by the electronic device, the behavior of the online user associated with at least one of social site, web pages, location, and blogs, and monitoring, by the electronic device, the behavior of the online user based on the acquired behavior of the online user.
[0007] In an embodiment, the method further includes ranking, by the electronic device, the social reputation index for the one or more information.
[0008] In an embodiment, the method further includes determining, by the electronic device, the one or more information as accurate or fake based on the generated social reputation index.
[0009] In an embodiment, acquiring, by the electronic device, the behavior of the online user associated with at least one of social site, web pages, location, and blogs includes parsing the behavior of the online user associated with at least one of social site, web pages, location, and blogs, validating the behavior of the online user associated with at least one of social site, web pages, location, and blogs, and acquiring, by the electronic device, the behavior of the online user associated with at least one of social site, web pages, location, and blogs, wherein the behavior of the online user is validated using at least one of an Artificial intelligence (AI) model and a machine learning (ML) model.
[0010] Accordingly, embodiments herein disclose an electronic device for generating a social reputation index. The electronic device includes a data driven based social reputation index controller coupled with a processor and a memory. The data driven based social reputation index controller is configured to receive one or more information associated with an online user. The one or more information is received from one or more an online content, a social media content, a news information and a user input. Further, the data driven based social reputation index controller is configured to monitor behavior of the online user. Further, the data driven based social reputation index controller is configured to generate the social reputation index for the one or more information in response to monitoring the behavior of the online user. The social reputation index indicates a trust level of the online user. The social reputation index is determined based on a basis expertise associated with the one or more information, a demography, and knowledge on the one or more information.
[0011] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the scope thereof, and the embodiments herein include all such modifications.

BRIEF DESCRIPTION OF FIGURES
[0012] The method and the system are illustrated in the accompanying drawings, throughout which like reference letters indicate corresponding parts in the various figures. The embodiments herein will be better understood from the following description with reference to the drawings, in which:
[0013] FIG. 1 shows various hardware components of an electronic device for generating a social reputation index, according to embodiments as disclosed herein;
[0014] FIG. 2 is an overview of a system for generating the social reputation index, according to embodiments as disclosed herein; and
[0015] FIG. 3 is a flow chart illustrating a method for generating the social reputation index, according to embodiments as disclosed herein.

DETAILED DESCRIPTION OF INVENTION
[0016] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. Also, the various embodiments described herein are not necessarily mutually exclusive, as some embodiments can be combined with one or more other embodiments to form new embodiments. The term “or” as used herein, refers to a non-exclusive or, unless otherwise indicated. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein can be practiced and to further enable those skilled in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0017] As is traditional in the field, embodiments may be described and illustrated in terms of blocks which carry out a described function or functions. These blocks, which may be referred to herein as units or modules or the like, are physically implemented by analog or digital circuits such as logic gates, integrated circuits, microprocessors, microcontrollers, memory circuits, passive electronic components, active electronic components, optical components, hardwired circuits, or the like, and may optionally be driven by firmware and software. The circuits may, for example, be embodied in one or more semiconductor chips, or on substrate supports such as printed circuit boards and the like. The circuits constituting a block may be implemented by dedicated hardware, or by a processor (e.g., one or more programmed microprocessors and associated circuitry), or by a combination of dedicated hardware to perform some functions of the block and a processor to perform other functions of the block. Each block of the embodiments may be physically separated into two or more interacting and discrete blocks without departing from the scope of the invention. Likewise, the blocks of the embodiments may be physically combined into more complex blocks without departing from the scope of the invention
[0018] The accompanying drawings are used to help easily understand various technical features and it should be understood that the embodiments presented herein are not limited by the accompanying drawings. As such, the present disclosure should be construed to extend to any alterations, equivalents and substitutes in addition to those which are particularly set out in the accompanying drawings. Although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are generally only used to distinguish one element from another.
[0019] The terms “online reputation management” and a “social reputation index” are used interchangeably in the patent disclosure.
[0020] Accordingly, embodiments herein achieve a method for generating a social reputation index. The method includes receiving, by an electronic device, one or more information associated with an online user, where the one or more information is received from one or more an online content, a social media content, a news information and a user input. Further, the method includes monitoring, by the electronic device, behavior of the online user. Further, the method includes generating, by the electronic device, the social reputation index for the one or more information in response to monitoring the behavior of the online user. The social reputation index indicates a trust level of the online user, wherein the social reputation index is determined based on a basis expertise associated with the one or more information, a demography, and knowledge on the one or more information.
[0021] In the proposed method, the social reputation index is a method and a proven way to create a social reputation index of individuals and content creators who have any presence online in an accurate and effective manner. The social reputation index will not only adjudge and give you a well-rounded score/index but will also we dynamic. Which means, if you post or share let's say fake news after a very high index, you will lose your points over time, if profane content etc., are posted by you anywhere.
[0022] Referring now to the drawings, and more particularly to FIGS. 1 through 3, there are shown preferred embodiments.
[0023] FIG. 1 shows various hardware components of an electronic device (100) for generating a social reputation index, according to embodiments as disclosed herein. The electronic device (100) can be, for example, but not limited to a cellular phone, a smart phone, a Personal Digital Assistant (PDA), a tablet computer, a laptop computer, an Internet of Things (IoT), a virtual reality device, an immersive system or the like.
[0024] In an embodiment, the electronic device (100) includes a data driven based social reputation index controller (110), a communicator (120), a memory (130), and a processor (140). The processor (140) is operated with the data driven based social reputation index controller (110), the communicator (120), and the memory (130).
[0025] The data driven based social reputation index controller (110) is configured to receive one or more information associated with an online user. The one or more information is received from one or more an online content, a social media content, a news information and a user input. Further, the data driven based social reputation index controller (110) is configured to monitor behavior of the online user. The behavior of the online user is monitored by acquiring the behavior of the online user associated with at least one of social site, web pages, location, and blogs. The behavior of the online user associated with at least one of social site, web pages, location, and blogs is acquired by parsing the behavior of the online user associated with at least one of social site, web pages, location, and blogs and validating the behavior of the online user associated with at least one of social site, web pages, location, and blogs. The behavior of the online user is validated using at least one of an AI model and a ML model.
[0026] Further, the data driven based social reputation index controller (110) is configured to generate the one or more social reputation index for the one or more information in response to monitoring the behavior of the online user. The one or more social reputation index indicates a trust level of the online user, where the one or more social reputation index is determined based on a basis expertise associated with the one or more information, a demography, and knowledge on the one or more information.
[0027] Further, the data driven based social reputation index controller (110) is configured to rank the one or more social reputation index for the one or more information. Further, the data driven based social reputation index controller (110) is configured to determine the one or more information as accurate or fake based on the generated social reputation index.
[0028] The processor (140) is configured to execute instructions stored in the memory (130) and to perform various processes. The communicator (120) is configured for communicating internally between internal hardware components and with external devices via one or more networks.
[0029] The memory (130) also stores instructions to be executed by the processor (140). The memory (130) may include non-volatile storage elements. Examples of such non-volatile storage elements may include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories. In addition, the memory (130) may, in some examples, be considered a non-transitory storage medium. The term “non-transitory” may indicate that the storage medium is not embodied in a carrier wave or a propagated signal. However, the term “non-transitory” should not be interpreted that the memory (130) is non-movable. In certain examples, a non-transitory storage medium may store data that can, over time, change (e.g., in Random Access Memory (RAM) or cache).
[0030] Further, at least one of the plurality of modules may be implemented through the AI model. A function associated with AI model may be performed through the non-volatile memory, the volatile memory, and the processor (140). The processor (140) may include one or a plurality of processors. At this time, one or a plurality of processors may be a general purpose processor, such as a central processing unit (CPU), an application processor (AP), or the like, a graphics-only processing unit such as a graphics processing unit (GPU), a visual processing unit (VPU), and/or an AI-dedicated processor such as a neural processing unit (NPU).
[0031] The one or a plurality of processors control the processing of the input data in accordance with a predefined operating rule or the AI model stored in the non-volatile memory and the volatile memory. The predefined operating rule or artificial intelligence model is provided through training or learning.
[0032] Here, being provided through learning means that a predefined operating rule or AI model of a desired characteristic is made by applying a learning algorithm to a plurality of learning data. The learning may be performed in a device itself in which AI according to an embodiment is performed, and/o may be implemented through a separate server/system.
[0033] The AI model may comprise of a plurality of neural network layers. Each layer has a plurality of weight values, and performs a layer operation through calculation of a previous layer and an operation of a plurality of weights. Examples of neural networks include, but are not limited to, convolutional neural network (CNN), deep neural network (DNN), recurrent neural network (RNN), restricted Boltzmann Machine (RBM), deep belief network (DBN), bidirectional recurrent deep neural network (BRDNN), generative adversarial networks (GAN), and deep Q-networks.
[0034] The learning algorithm is a method for training a predetermined target device (for example, a robot) using a plurality of learning data to cause, allow, or control the target device to make a determination or prediction. Examples of learning algorithms include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.
[0035] In another embodiment, the method can be implemented by using a machine learning model. The machine learning model can be, for example, but not limited to a linear regression model, a logistic regression model, a classification and regression tree (CART) model, a naïve bayes model, a k-Nearest Neighbors (KNN) model or the like.
[0036] Although the FIG. 1 shows various hardware components of the electronic device (100) but it is to be understood that other embodiments are not limited thereon. In other embodiments, the electronic device (100) may include less or more number of components. Further, the labels or names of the components are used only for illustrative purpose and does not limit the scope of the invention. One or more components can be combined together to perform same or substantially similar function in the electronic device (100).
[0037] FIG. 2 is an overview of a system (1000) for generating the social reputation index, according to embodiments as disclosed herein. In an embodiment, the system (1000) includes the electronic device (100) and a server (200). The operations and functions of the electronic device (100) is already explained in the FIG. 1. In an embodiment, the server (200) is configured to collect a third party information related the first information and share the third party information with the electronic device (100) based on the requirement. The server (200) can be, for example, but not limited to a third party server, a cloud server, an edge server or the like.
[0038] FIG. 3 is a flow chart (S300) illustrating the method for generating the social reputation index, according to embodiments as disclosed herein. The operations (S302-S306) are performed by the data driven based social reputation index controller (110).
[0039] At S302, the method includes receiving the one or more information associated with the online user, where the one or more information is received from one or more an online content, a social media content, a news information and a user input. At S304, the method includes monitoring the behavior of the online user. At S306, the method includes generating the social reputation index for the one or more information in response to monitoring the behavior of the online user. The social reputation index indicates a trust level of the online user, wherein the social reputation index is determined based on a basis expertise associated with the one or more information, a demography, and knowledge on the one or more information.
[0040] The various actions, acts, blocks, steps, or the like in the flow chart (S300) may be performed in the order presented, in a different order or simultaneously. Further, in some embodiments, some of the actions, acts, blocks, steps, or the like may be omitted, added, modified, skipped, or the like without departing from the scope of the invention.
[0041] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.