When the Algorithm Remembers the Blood Libel |
For centuries, blood libels against Jews spread through whispered accusations, pamphlets, and sermons. Today, they spread through prestige media, viral social platforms, and increasingly, artificial intelligence systems trained on the digital archive of our age.
That is why the recent New York Times opinion column alleging widespread rape and systematic sexual abuse by Israelis against Palestinian detainees is so dangerous, not merely because of the libelous and unfounded allegations themselves, but because of what happens after publication.
Even if portions of the story are later challenged, corrected, contextualized, or quietly walked back, the damage may already be irreversible.
In the AI era, accusations published by institutions carrying the authority of The New York Times do not simply disappear into yesterday’s news cycle. They become part of the permanent informational infrastructure upon which large language models, search engines, educational tools, and future public understanding are built.
That reality fundamentally changes the responsibility of elite media organizations.
The column in question relied heavily on second or third hand testimony, ideological activist claims, and reports from NGOs that have well reported long records of hostility toward Israel and advocacy framed less around human rights than around delegitimization of the Jewish state.
Israel has forcefully rejected the allegations while warning that sensational accusations unsupported by verified evidence risk reviving ancient antisemitic tropes in modern form.
Reasonable people can and should support scrutiny of all governments during wartime. No........