Inside Wikipedia: Power, Politics, and the Edit Button

In this short video, we explore the findings of Professor David Rozado, whose groundbreaking study reveals a deep and measurable political bias embedded in Wikipedia’s content — and how that bias is now infecting the AI systems we rely on. Rozado conducted a large-scale sentiment analysis of Wikipedia articles covering hundreds of political figures — including U.S. presidents, senators, Supreme Court justices, governors, and journalists. His results were striking: • Left-leaning figures were consistently described using positive emotional language — words linked to joy, admiration, and trust. • Right-leaning figures were framed with negative sentiment — words tied to anger, disgust, and fear. The average effect size was 1 standard deviation (Cohen’s d) — a statistically significant skew. Even more alarming: Rozado found that this bias has percolated into AI models, including large language models like ChatGPT, which are trained in part on Wikipedia’s corpus. This means that political bias isn’t just shaping public perception — it’s being hardcoded into the algorithms that will define our future. Subscribe to https://npov.substack.com/ for more in depth reports on the Wikipedia Crisis. NPOV (Neutral Point of View) is a media outlet and investigative platform dedicated to exposing covert manipulation campaigns that distort the internet’s information infrastructure. NPOV is uncovering corruption inside Wikipedia, search engines, and AI systems — the platforms now responsible for shaping reputations, influencing purchasing decisions, and guiding political discourse. NPOV was founded in 2025 by investigative journalist Ashley Rindsberg, whose reporting has helped shape global conversations about media integrity, censorship, and narrative warfare. Subscribe on Substack: https://npov.substack.com/ Follow on X @npovmedia Follow on Instagram @npovmedia

In 2017, Wikipedia changed forever. It's “Movement Strategy” shifted Wikipedia from being an open encyclopedia into something much more political. This wasn’t random — it was driven by insiders with ties to power, shaping how information flows across our entire media ecosystem. These were influences mostly from the left that was designed to take the power of Wikipedia's knowledge and its place on our information ecosystem and harness it mostly from the benefit of the Democratic Party in the United States. The movement strategy was created by a long time aid of Hillary Clinton, whose name is Whitney Williams, and it was implemented with a lot of DEI type policies in mind and with the goal of shifting Wikipedia from a neutral purveyor of information to a political influence machine based around information. This didn't happen by coincidence. It happened at a time where Hillary Clinton had just declared a fake news epidemic.

Did Wikipedia try to influence the 2024 U.S. election? In this short exposé, we investigate how Wikipedia blurred the line between historical record and political propaganda — just weeks before Americans went to the polls. A new article titled Donald Trump and Fascism appeared in October 2024. It compared Trump to Hitler, labeled him authoritarian, and used the word “fascist” 92 times — all sourced from far-left publications and radical academics. These edits weren’t made by historians. They were inserted by anonymous activists. Once live, the article was indexed by Google, boosted in search rankings, and absorbed into AI training datasets — turning partisan attacks into “verified” information. Meanwhile, Wikipedia ran bright red donation banners over the page, helping founder Jimmy Wales raise $180 million in 2024 alone. Critics argue this isn’t just bias — it’s a form of election interference.