Abstract: Method and systems of the application using user feedback from a userbase for news and scientific research replaces a comment section or forum. Method transforms user feedback into statistical data that is less ambiguous than narrative comments and provides insight into the consensus of a userbase across different categories including, but are not limited to: location, age, gender, education, religion, or political party. Searching, grouping, and filtering digital media and related data narrows the scope of information curating a unique view of user feedback and digital media. Determining what percentage of user feedback agree or disagree with the digital media displaying or indicating which digital media causes users to submit different user feedback is just as important as the news itself.

Abstract: The present invention is a digital application that streamlines and provides access to public opinion of newsworthy information (FIG. 2-B) in a more granular process. It creates records by combining a user-submitted rating of digital content (FIG. 2-C) with data from a user created profile (FIG. 1-A), not limited to categories including age, race, gender, or location. A rating could include a positive rating, negative rating, a non-factual rating, or numbered score (FIG. 3-E). User's data and rating is aggregated and displayed as statistical metrics (FIG. 3-C) related to the individual digital content being viewed (FIG. 3-D) or grouped by keywords. The aggregated user data and ratings can be queried and filtered by each category (FIG. 4-H) to provide a sample poll relating to the content or topic (FIG. 5-J). Statistical outliers are identified to help determine if/where a bias exists.