New York, April 18: Scientists have developed a new generic algorithm based on machine-learning to detect fake accounts on social network platforms including Facebook and Twitter, an advance with considerable potential for applications in the cyber-security arena.

"With recent disturbing news about failures to safeguard user privacy, and targeted use of social media to influence elections, rooting out fake users has never been of greater importance," said lead researcher Dima Kagan from the Ben-Gurion University (BGU) in Israel. 

The study showed that the algorithm is generic, and efficient both in revealing fake users and in disclosing the influential people in social networks.

"Overall, the results demonstrated that in a real-life friendship scenario we can detect people who have the strongest friendship ties as well as malicious users, even on Twitter," the researchers said.

Based on machine-learning algorithms, the new method, detailed in the journal Social Network Analysis and Mining, works on the assumption that fake accounts tend to establish improbable links to other users in the networks.

It constructs a link prediction classifier that can estimate, with high accuracy, the probability of a link existing between two users. 

It also generates a new set of meta-features based on the features created by the link prediction classifier. 

Using the meta-features, the researchers, constructed a generic classifier that can detect fake profiles in a variety of online social networks.

"We tested our algorithm on simulated and real-world data sets on 10 different social networks and it performed well on both," Kagan said.

Previously, researchers from the BGU had developed the Social Privacy Protector (SPP) to help users evaluate their friends list in seconds to identify which have few or no mutual links and might be "fake" profiles.

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Shreveport(US) (AP): A gunman in Louisiana killed eight children in shootings at two different homes early Sunday in the nation's deadliest mass shooting in more than two years, police in Shreveport said.

The victims ranged in age from one to about 14 years old, said Shreveport police spokesperson Chris Bordelon. A total of 10 were shot and some of the children were related to the suspect, Bordelon said.

The gunman later died after a chase with officers who fired at the suspect, Bordelon said. The suspect stole a car while leaving the scene of the shootings and was followed by police, according to Bordelon.

Police did not release the name of the suspect but did say he was an adult male. The shootings were the result of a “domestic disturbance,” Bordelon said.

Officials said they were still gathering details at the crime scenes south of downtown Shreveport — the two homes and a third location.

“This is an extensive scene unlike anything most of us have ever seen,” he said.

It was the deadliest mass shooting in the US since eight people were killed in a Chicago suburb in January 2024, according to a database maintained by The Associated Press and USA Today in partnership with Northeastern University.

At a news conference outside the residence where one of the shootings occurred, officials appeared stunned, requesting patience and prayers from the community as they sorted through multiple crime scenes.

“I just don't know what to say, my heart is just taken aback,” Shreveport Police Chief Wayne Smith said. “I cannot begin to imagine how such an event could occur.”

“This is a tragic situation — maybe the worst tragic situation we've ever had,” said Tom Arceneaux, mayor of the city in northwestern Louisiana with about 180,000 residents. “It's a terrible morning.”

Louisiana State Police say their detectives have been asked by Shreveport police to investigate. In a statement, state police say no officers were harmed in the shooting that involved an officer after a police pursuit into Bossier City on Sunday morning.

State police are asking anyone with pictures, video or information to share it with state police detectives.

Louisiana Gov Jeff Landry said in a statement that he and his wife were heartbroken. “We're deeply grateful to the law enforcement officers and first responders working tirelessly on the scene,” he added.