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Social Sentinel is a linguistics technology service used by the Uvalde School District that tracks users' social media activity, flagging it if it finds the content to be concerning.

The company primarily analyzes profiles of students, and seek 'to improve school violence prevention and awareness' with the tech, which is used by districts across the country.

According to its creators, the service - powered by advanced linguistics technology - scans and analyzes digital content to pick out and flag potential safety and security risks, as well as mental health and social and emotional concerns.

The software scans selected digital content - in this case, thousands of students' social media accounts - and identifies language that fit those criteria.

The powerful tech is designed to then alerts leaders if a community member is showing signs of crisis, so they can intervene before an incident occurs.

The service scans threatening images, along with its associated text, before determining whether it is something community leaders should look into.

It is not immediately clear why the technology failed to flag gunman Salvador Ramos' posts, which contained photos of guns and ammo used in Tuesday's attack - the worst school shooting in a decade.

The powerful technology is designed to then alerts leaders if a community member is showing signs of crisis, so they can intervene before an incident occurs.

The service also scans threatening images, along with its associated text, before determining whether it is something community leaders should look into.

However, in this particular instance, the technology fell short - failing to spot Ramos' objectively concerning posts and notify district officials.

It is not immediately clear why the technology failed to flag Ramos' posts. DailyMail.com reached out to Social Sentinel and Uvalde district staffers for comment on the software's apparent failure Wednesday morning, but did not immediately hear back.

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