They also could be press releases, considering the same title was found for multiple articles over the past 30-45 minutes. The data pipeline currently removes duplicate titles, but only inside single batches. So, it could be a long sustained press release.. like propaganda.
As of writing it shows three different stories though:
- 12:15 Will there be a coronavirus relief bill with $1,200 checks?
- 12:30 Nigeria protesters break curfew amid gunfire, chaos in Lagos
- 12:30 Google antitrust case to turn on how search engine grew dominant
Maybe what you're seeing is a bug in the website client, I'll investigate it.
Finding duplicate stories that have different texts and titles sounds like something you should use AI for
The locations are ordered by salience (proximity to start of the article, number of times mentioned), but not completely filtered, so on this specific visualization you will see a lot of matched locations which you wouldn't consider part of the article, but were mentioned in passing.
Trying to understand the content of an article is still really, really difficult, and error prone.