A recent study published in the Proceedings of the National Academy of Sciences provides evidence that automated encyclopedias differ from human-edited platforms in both structure and political leaning. The research suggests that rather than uniformly removing bias, these automated systems tend to favor longer, more complex narratives while introducing rightward shifts in certain topic areas. These findings raise questions about how artificial intelligence shapes public knowledge and source verification. In October 2025, the American technology company xAI, founded by Elon Musk, launched Grokipedia. The platform was presented as the world’s first artificial intelligence-written encyclopedia. Musk promised the platform would fix left-leaning biases alleged to exist in the widely used online encyclopedia Wikipedia. Wikipedia’s content is written and maintained by volunteer editors. Grokipedia generates and reviews its content using a large language model, which is a type of artificial intelligence trained on vast amounts of text to predict and generate human-like language. Visitors can suggest edits, but the automated system reviews and implements the changes without traditional human editorial oversight. To evaluate these claims, researchers at …