Report Claims Israeli Campaign Attempted to Shape AI Narratives on Gaza
(MENAFN) Israel reportedly financed a multimillion-dollar digital campaign aimed at influencing how artificial intelligence systems respond to questions related to the Gaza war, according to a report released Tuesday.
The campaign, which involved a $46.5 million contract with the Israeli government, was allegedly developed by Clock Tower X, a firm led by Brad Parscale, a former campaign manager for US President Donald Trump. The initiative reportedly focused on creating online content designed to promote Israeli viewpoints and affect AI platforms such as ChatGPT, Claude, Gemini and Perplexity.
According to documents cited in the report, Clock Tower X created hundreds of articles across various websites covering topics including the Gaza conflict, Israeli military actions and relations between Israel and the United States.
The report said the effort was intended to impact responses produced by large language models (LLMs) by publishing content that could be indexed by search engines and incorporated into AI-generated answers, a technique sometimes described as "LLM poisoning."
Although the websites reportedly received limited attention from regular internet users, they were designed primarily to be accessed by search engines and AI systems that collect and process online information.
The campaign, which involved a $46.5 million contract with the Israeli government, was allegedly developed by Clock Tower X, a firm led by Brad Parscale, a former campaign manager for US President Donald Trump. The initiative reportedly focused on creating online content designed to promote Israeli viewpoints and affect AI platforms such as ChatGPT, Claude, Gemini and Perplexity.
According to documents cited in the report, Clock Tower X created hundreds of articles across various websites covering topics including the Gaza conflict, Israeli military actions and relations between Israel and the United States.
The report said the effort was intended to impact responses produced by large language models (LLMs) by publishing content that could be indexed by search engines and incorporated into AI-generated answers, a technique sometimes described as "LLM poisoning."
Although the websites reportedly received limited attention from regular internet users, they were designed primarily to be accessed by search engines and AI systems that collect and process online information.
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