These choices stay in this browser. Group counts describe all observed coverage even when a headline or publisher is hidden locally.
Representative publisher headline · MIT Technology Review
1 publishers · 1 current feed items · Standalone feed item
These publisher-feed items appear to concern the same event. Publisher counts describe observed coverage, not truth, consensus or completeness.
Our 15-month investigation into death and surveillance along the US-Mexico border began with a simple question: Why did so many people die near government surveillance towers meant to help track and apprehend them? This story is part of Dying on Camera, a collaboration between MIT Technology Review and Times of San Diego. Journalists in both newsrooms spent the past…
Original publisher headlines side by side. Access labels describe the publisher and do not guarantee the access status of an individual article.
How we made the first comprehensive map of deaths along the US border’s “virtual wall”
Metered
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Time supplied by the publisher feed
Open at publisher ↗This is a timeline of URSY feed observations and grouping corrections. It is not necessarily the chronology of the real-world event. Historical stories may have been grouped after their original first-seen time.
Event grouping created
Recorded by grouping algorithmFeed item joined this group · MIT Technology Review
Recorded by grouping algorithmPublisher joined this group · MIT Technology Review
Recorded by grouping algorithmURSY groups publisher-feed metadata. It does not fetch or republish full article bodies. Read the original reporting through the publisher links above. Text and image rights stay with the publishers; API access grants no republication rights.
The label is a deterministically selected publisher headline. Group membership can be corrected, and changes remain visible in the observation log. The archive retains up to 400 items per configured source feed; a publisher may have several feeds; older member text may no longer be available.
evt_5a57c4e6d288fe78a7f86b9b436c5e1bevent-cluster-v1.0.2Event descriptor and provenance data · Collection and event health