A new study by Dr. Gabriel Weimann, a professor of communication at the University of Haifa and web intelligence analyst Ari Ben-Am has revealed "the existence of a new coded language on social media being used by anti-Semitic groups to fly under the radar of artificial intelligence-designed algorithms," the scholars said in a statement.
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According to the study, the complex nature of the coded language is used for "both propaganda and recruitment purposes" without being detected by the normal algorithms aimed at monitoring and flagging hate speech. This is "hidden in plain sight and encourages violent incidents like the Christchurch shooting in New Zealand or the January capitol riots. "
According to the findings released, "much of this coded language the study found was shown to rely on the use of 'dog-whistles,' a coded message communicated through words or phrases commonly understood by a particular group of people, but not by others."
This, they explain can be "as simple as swapping one word for another such as far-right users calling Jews 'Skypes,' African-Americans as '"Googles' and Latinos as 'Yahoos.'"
"It's clear that security, counter-terrorism, and government agencies, as well as social media platforms, are doing much to crack down on abuse," Weimann said. "But we need to educate the operators of these companies that run social media platforms to report these violations and also teach their users how to spot them. A human eye is still much more savvy than a computer-generated algorithm.
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