Method and systems of implementing a ranked health-content article feed

1. A computerized method for implementing a ranked health-content article feed comprising:

obtaining a set of health-content articles, wherein a health-content article comprises a distributable computer file containing a media content comprising text, a digital image or a digital video, wherein the step of obtaining the set of health-content articles further comprises,

with an automated web crawler,

receiving the distributable computer file containing a media content comprising text, a digital image or a digital video,

determining, by a processor, that a social media post comprises an anchor text related to a health content and a hyperlink to the health-content article by searching the anchor text for a set of key words and pattern matches that match a developed vocabulary of tokens that to the anchor text to identify that anchor text is related to health education content as opposed to marketing content or quackery content, and

obtaining a set of statistics about the post, wherein the set of statistics comprises a number of social media post views, a number social media post likes, or a number of social media post shares within a social media network;

identifying a sub-set of health content articles comprising a marketing content,

wherein the step of identifying the sub-set of health content articles further comprises:

generating a corpus of tokens that indicate that the health-content article comprises the marketing content;

matching the health-content article text with a specified number of tokens;

removing the sub-set of health content articles comprising the marketing content from the set of health-content articles, wherein the step of removing the sub-set of health content articles comprises,

providing a set of blacklisted websites;

determining that the hyperlink in the social media post links to a blacklist website; and

removing the health-content article that originates from the blacklisted website;

providing an authority score for each health-content article of the set of health-content articles, wherein the authority score is based on an indicator in a web page source of the health-content article that indicates that health-content article has been approved by a medical expert;

providing a social-popularity score for each health-content article of the set of health-content articles, wherein the social-popularity score is based on the set of statistics about the post obtained by the automated web crawler;

providing a content score for each health-content article of the set of health-content articles;

aggregating the authority score, the social-popularity score and the content score for each health-content article;

ranking the set of health-content articles based on an aggregated score of each health-content article; and

distributing a ranked set of health-content articles to a consumer entity in a web-feed format by communicating the ranked set of health-content articles to a consumer entity in the web-feed format to a hospital server for display as a widget on a web page on a hospital patient portal.

2. The method of claim 1 , wherein the medical expert comprises a medical doctor.

3. The method of claim 2 , wherein the social-popularity score is based on a number of times the health-content article has been reposted in one or more social media websites.

4. The method of claim 3 , wherein the content score is based on a text analysis determination that the health-content article comprises a set of specified tokens that indicate that quality health content is included in the health-content article.

5. A computerized system for implementing a ranked health-content article feed comprising:

a processor configured to execute instructions;

a memory containing instructions when executed on the processor, causes the processor to perform operations that:

obtain a set of health-content articles, wherein a health-content article comprises a distributable computer file containing a media content comprising text, a digital image or a digital video, wherein the step of obtaining the set of health-content articles further comprises,

with an automated web crawler,

receive the distributable computer file containing a media content comprising text, a digital image or a digital video,

determine, by a processor, that a social media post comprises an anchor text related to a health content and a hyperlink to the health-content article by searching the anchor text for a set of key words and pattern matches that match a developed vocabulary of tokens that to the anchor text to identify that anchor text is related to health education content as opposed to marketing content or quackery content, and

obtain a set of statistics about the post, wherein the set of statistics comprises a number of social media post views, a number social media post likes, or a number of social media post shares within a social media network;

identify a sub-set of health content articles comprising a marketing content;

remove the sub-set of health content articles comprising the marketing content from the set of health-content articles;

generate an authority score for each health-content article of the set of health-content articles;

generate a social-popularity score for each health-content article of the set of health-content articles;

generate a content score for each health-content article of the set of health-content articles;

calculate the authority score, the social-popularity score score and the content score for each health-content article;

rank the set of health-content articles based on an aggregated score of each health-content article; and

distribute a ranked set of health-content articles to a consumer entity in a web-feed format.