What is bias in search algorithms, and how can you counteract it when searching?

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Bias in search algorithms arises when the data and design that shape how results are ranked and displayed reflect certain viewpoints, priorities, or gaps, causing some sources to be shown more prominently while others are underrepresented. To counteract this while searching, use a mix of diverse sources and databases to broaden what you encounter, and apply critical evaluation or manual filtering to check for coverage and perspective gaps. And vary your search approach: try different search engines or databases, expand and adjust keywords, and seek multiple viewpoints, including primary sources. If possible, reduce personalization (clear cookies or search in private mode) so results aren’t tailored to your past activity. Cross-check findings with several independent sources to confirm credibility. The other statements aren’t accurate because bias isn’t just from randomness, nor is it solved by the largest database, nor is it solely about speed, and bias can appear in text, image, and other types of search.