Haaretz

October 16, 2023

Zac Bamberger, a master's degree student at the faculty, established a project under the title Social Media for Israel in which he develops together with a team of about 100 active volunteers, technological tools for monitoring and tagging content on networks using language models.

"We use language models to remove anti-Israeli content, and make pro-Israeli content accessible to the world through translation and content improvement, and at the same time create convincing arguments that are effective in conflicts on social networks. Our models learn from volunteers from the debate world, from professional translators, and from media representatives in high-tech companies. We use the strongest models in the world after recruiting thousands of credits from companies like Google, Microsoft, and AI21 Labs.''

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