Report Says Instagram’s Algorithm Boosted Antisemitic Posts to Millions
The findings point to algorithm-driven echo chambers that can push extremist ideas into the mainstream.
Overview
- Combat Antisemitism Movement published “Engineered Exposure,” which alleges Instagram’s recommendation system pushed antisemitic posts during a March 19–22 monitoring window.
- Researchers logged 100 recommended posts that drew more than 5.3 million likes and 3.8 million shares, with an estimated reach of roughly 150 to 280 million users.
- The study says AI-generated personas posing as rabbis spread conspiracies, including an account called “Rabbi Goldman,” and counts 12 such “rabbis” with a combined 2.1 million followers.
- The report describes “closed content environments,” where repeated recommendations feed users similar themes with little balance, a pattern the group warns can reinforce belief and spur radicalization.
- CAM is urging Meta to add stronger safeguards and more transparency, and Meta has not commented, as pressure grows after Meta ended third‑party fact‑checking last year and juries ruled this week that its products harmed users.