Abstract: A system performs a first query to retrieve a commit lag timestamp, where the commit lag timestamp specifies an earliest time instance when a record of an entity is inserted or updated, but is yet to be committed, to a data source. The system determines an inline crawl interval based on the commit lag timestamp. The system performs a second query based on the inline crawl interval to retrieve a number of record identifiers and/or modification dates. The system performs a third query based on the inline crawl interval, where the third query corresponds to records that exist in a data store. The system determines at least one identifier that is missing from the third query due to commit lag based on a difference between data corresponding to the second and third queries. The system persists data corresponding to the second query and the at least one missing identifier.

Abstract: Detecting fake news involves analyzing a distribution of publishers who publish many news articles, analyzing a distribution of various topics relating to the published news articles, analyzing a social media context relating to the published news articles, and detecting fake news articles among the news articles based on the analysis of the distribution of publishers, the analysis of the distribution of the various topics, and the analysis of the social media context.

Abstract: Detecting fake news involves analyzing a distribution of publishers who publish many news articles, analyzing a distribution of various topics relating to the published news articles, analyzing a social media context relating to the published news articles, and detecting fake news articles among the news articles based on the analysis of the distribution of publishers, the analysis of the distribution of the various topics, and the analysis of the social media context.