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: A computer system for verifying information relating to an event. The computer system includes a network interface and a processor to receive a media feed containing information related to a potential event, identify the potential event and determine a location of the potential event from the information in the media feed, and solicit verification of information relating to the potential event from a set of responder devices of a plurality of responder devices. Each responder device of the set of responder devices has a location-tracking device, and each responder device of the set of responder devices is selected from a pool of responder devices in a vicinity of the potential event. The processor is further to determine whether information in the media feed is verified by verification solicited from the set of responder devices and output the determination.

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.

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.