Virtual newsroom system and method thereof

Abstract

Embodiments relate to a virtual newsroom system and a method thereof. The method comprises: receiving, through a user registration unit of a virtual newsroom system, a registration of a user; deciding through a registration approving unit of the virtual newsroom system, the registration of the user is approved or rejected; receiving through a content receiving unit of the virtual newsroom system, one or more content from an approved media person; approving, through an approving unit of the virtual newsroom system, the one or more content; publishing, on a publishing unit of the virtual newsroom system, the one or more content; and enabling, through a sales and purchase unit of the virtual newsroom system, sale, purchase and auction of the one or more content.

What is claimed is: 
     
         1 . A method
 receiving through a content receiving unit of a virtual newsroom system, a content from a media unit;   generating a first score for the content, wherein the first score is based on analyzing for one or more factors comprising grammar, contextuality, originality, consistency, accuracy, headline, addon elements, quality, and attribution;   approving, through an approving unit of the virtual newsroom system, the content, wherein the approval of the content is based on a predefined limit of the first score;   generating a second score for the media unit, wherein the second score is based on a quality of the content received from the media unit;   publishing, on a publishing unit of the virtual newsroom system, the content; and   enabling, through a sale and purchase unit of the virtual newsroom system, at least one of a sale, a purchase, and an auction of the content, wherein a pricing of the content is dynamic;   wherein the sale and purchase unit is operable to execute the steps of:   receiving a current search query, wherein the current search query comprises keywords for a location, an area of interest, a language, and a topic;   displaying a list of contents matching with the current search query received; and   generating, a recommendation of the content using an artificial intelligence and machine learning technique, based on a history of search query and the current search query.   
     
     
         2 . The method of  claim 1 , wherein the media unit comprises one of a media person, and a media outlet. 
     
     
         3 . The method of  claim 1 , wherein the content is geo-tagged with a location from which the content originated. 
     
     
         4 . The method of  claim 1 , wherein the content is authenticated through a news auditor. 
     
     
         5 . The method of  claim 1 , wherein the content by an artificial intelligence technique. 
     
     
         6 . The method of  claim 1 , wherein the content is published with a watermark in background to restrict the media unit from unauthorised usage. 
     
     
         7 . The method of  claim 1 , wherein the pricing is based on target audience of a purchaser. 
     
     
         8 . The method of  claim 1 , wherein the second score is updated dynamically with every new content generated by the media unit. 
     
     
         9 . The method of  claim 1 , wherein the second score is further based on a count of published content generated by the media unit and corresponding rating of the published content. 
     
     
         10 . The method of  claim 1 , comprises a step facilitating registration of the media unit on the virtual newsroom system. 
     
     
         11 . The method of  claim 1 , comprises a step of authenticating the media unit on the virtual newsroom system. 
     
     
         12 . The method of  claim 1 , wherein the artificial intelligence and machine learning technique comprises a machine learning algorithm. 
     
     
         13 . The method of  claim 1 , wherein the content comprises one or more of text, audio, image, video, and a combination thereof, wherein the image comprises one or more of a photograph, a sketch, a chart, and a combination thereof. 
     
     
         14 . The method of  claim 1 , wherein the virtual newsroom system is further integrated with a payment gateway to facilitate online payment for purchasing the content. 
     
     
         15 . The method of  claim 1 , wherein the method further comprises a step operable for receiving a complaint for the content being unethical. 
     
     
         16 . The method of  claim 1 , wherein the content is published in one or more languages. 
     
     
         17 . The method of  claim 1 , wherein a first rating is generated based on the first score. 
     
     
         18 . The method of  claim 1 , wherein a second rating is generated based on the second score. 
     
     
         19 . A system, comprising:
 a memory; and   a processor coupled to the memory, wherein the processor is operable to:   receiving through a content receiving unit of a virtual newsroom system, a content from a media unit;   generating a first score for the content, wherein the first score is based on analyzing for one or more factors comprising grammar, contextuality, originality, consistency, accuracy, headline, addon elements, quality, and attribution;   approving, through an approving unit of the virtual newsroom system, the content, wherein the approval of the content is based on the first score;   generating a second score for the media unit, wherein the second score is based on a quality of the content received from the media unit;   publishing, on a publishing unit of the virtual newsroom system, the content; and   enabling, through a sale and purchase unit of the virtual newsroom system, at least one of a sale, a purchase, and an auction of the content, wherein a pricing of the content is dynamic;   wherein the sale and purchase unit is operable to execute the steps of:   receiving a current search query from a media outlet; wherein the current search query comprises keywords for a location, an area of interest, a language, and a topic;   displaying a list of contents matching with the current search query received; and   generating, a recommendation of the content using an artificial intelligence and machine learning technique, based on a history of search query and the current search query.   
     
     
         20 . Non-transitory computer storage medium storing a sequence of instructions, which when executed by a processor, causes:
 receiving through a content receiving unit of a virtual newsroom system, a content from a media unit;   generating a first score for the content, wherein the first score is based on analyzing for one or more factors comprising grammar, contextuality, originality, consistency, accuracy, headline, addon elements, quality, and attribution;   approving, through an approving unit of the virtual newsroom system, the content, wherein the approval of the content is based on the first score;   generating a second score for the media unit, wherein the second score is based on a quality of the content received from the media unit;   publishing, on a publishing unit of the virtual newsroom system, the content; and   enabling, through a sale and purchase unit of the virtual newsroom system, at least one of a sale, a purchase, and an auction of the content, wherein a pricing of the content is dynamic;   wherein the sale and purchase unit is operable to execute the steps of:   receiving a current search query from a media outlet; wherein the current search query comprises keywords for a location, an area of interest, a language, and a topic;   displaying a list of contents matching with the current search query received; and   generating, a recommendation of the content using an artificial intelligence and machine learning technique, based on a history of search query and the current search query.