5 chapters across the catalog
Dr. Robert Epstein, head of the American Institute for Behavioral Research and Technology, claims Google has the power to shift millions of votes through subtle search engine bias. Using a monitoring system of 14,000 registered voters, Epstein argues that Google's personalized content creates "ephemeral experiences" that manipulate users without leaving a paper trail. He notes that search results for political donations show significant partisan disparity.
President Trump cited research by Dr. Robert Epstein claiming Google manipulated millions of votes in favor of Hillary Clinton during the 2016 election. Epstein's study suggests that search engine bias can sway undecided voters, though critics and media outlets like CNN have labeled the claims as unsubstantiated conspiracy theories. Epstein recently posted a "not suicidal" message on social media, referencing the "Clinton body count" meme.
Google Search Bias, Twiddlers, Algorithmic Fairness
Internal Google documents reveal the use of "twiddlers," which are C++ snippets used to manually re-rank search results and down-rank specific URLs or news sources. The documents also discuss "Machine Learning Fairness," using examples like left-handed mugs to justify altering search results to meet diversity quotas. Evidence suggests Google maintains blacklists for sensitive topics like the Las Vegas shooting and applies negative weights to conservative outlets like Breitbart and Infowars.
Human Reviewers and Inherent Bias in Google Training
The training of Google's machine learning models relies on tens of thousands of human reviewers who tag search results based on their own subjective interpretations. Because the workforce and the company culture are predominantly left-leaning, the resulting data sets used to "teach" the algorithm are inherently biased toward liberal perspectives.
Google has been accused of manipulating its auto-complete search suggestions to suppress negative information about Hillary Clinton's health. While other search engines provide results for "Hillary Clinton's health problems," Google's algorithm appears to filter these terms as "disparaging or offensive content." This perceived bias is linked to former Google CEO Eric Schmidt's close ties to the Clinton campaign, raising concerns about the power of tech giants to influence democratic elections.
