This refers to the idea that search engine ranking algorithms might unfairly favor or disfavor certain websites or types of content. For example, some sites (or creators) might systematically get less “exposure” because of how the algorithm treats them. Naver Labs Europe +2 Computer Science +2
Researchers talk about “fair ranking”: they design ranking systems that try to distribute exposure more equitably (so lower-ranked items still get attention over time). arXiv +2 arXiv +2
In marketplaces (or platforms), this can have legal risk: e.g. if minority-owned businesses or certain demographic groups are consistently ranked lower, that can be seen as algorithmic #SelfEmpowerment Best Hashtags
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