Study Reveals Political Bias in Wikipedia Content

Research shows Wikipedia entries favor left-leaning figures, raising concerns over neutrality and AI training data.

Wikipedia articles use more negative language for right-leaning public figures compared to left-leaning ones.
Left-leaning terms are more often linked with positive emotions like joy, while right-leaning terms are associated with anger and disgust.
The study suggests Wikipedia's bias could influence AI models trained on its content, including OpenAI's ChatGPT.
Wikipedia's neutrality policy appears to be failing, according to the study's findings.
The Manhattan Institute report calls for improved content standards to ensure unbiased information.