Abstract: Examples of methods and systems to generate information about news source items appearing in user social media feed content, where the news source items describe news events or topics. The news events or topics can be identified by the recognition of news information associated with a news source in information configured for use as user social media feed content. The generated information can be displayed on a user device along with assigned bias, skew, or viewpoint ratings for news sources that describe the news source events. The news source items, news sources, and information can be selected on the user display for further user review. Notifications associated with news source bias, skew, or viewpoint ratings and information associated with user engagement with social media feed content can also be generated. Bias, skew, or viewpoint ratings for user social media accounts can be provided.

Abstract: This disclosure relates to methods and systems to generate information about news source items from a corpus of news sources, where identified news source items describe or are associated with a news event or topic of interest. The generated information can be presented as collections of news source items describing a news event or topic in, e.g., a newsfeed format, a report, a dashboard configuration, or for use in machine learning processes. News sources can be associated with a rating. The news source items, news sources, and collections can be analyzed to generate information including differences in coverage of generated or selected news events or topics according to various considerations, such as news source characteristics (e.g., bias/skew/viewpoint rating, age, location of news source or event, etc.), time, and presence, absence, or frequency of news sources ratings in a collection of news source items describing the news event or topic.