Twitter, more artificial intelligence against banned posts

 More automation and less human intervention on posted content.

This is the idea that Elon Musk of Twitter has and that has already been put into practice by the social network.

This was confirmed to Reuters by Ella Irwin, Vice President of Trust and Safety, an independent group that analyzes the processes of the social network.

The aim is to censor user hate posts and the spread of fake news much faster.

Two problems that, according to the Center for Countering Digital Hate, have appeared much more evident after the acquisition of the platform by Musk.

For the Center, tweets insulting people of color increased from 1,282 to 3,876 per day while anti-Semitic tweets increased by +61% in the two weeks following the change of ownership.

Musk labeled the data "absolutely false."

During an interview,

Twitter has always used a combination of manual interventions and automated systems to control posts but the reduction of the workforce and the flow of tweets that does not stop, have prompted the company to adopt more "aggressive" control measures.

According to the manager, the automated systems can detect prohibited content and hashtags before they go viral.

Carolina Christofoletti, a researcher specializing in child sexual abuse, told Reuters that she noticed that Twitter deleted some content in just 30 seconds after reporting it, compared to the hours, or days, previously required.

Irwin said Twitter has taken down around 44,000 accounts involved in child safety violations, in collaboration with cybersecurity group Ghost Data.