Everything About Google Search Bias And Ways To Prevent It.

Know to what extent are algorithms and SEOs responsible for Google Search biases.

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What is an Algorithm?

An algorithm is a calculation technique that uses formulas, rules, or problem-solving activities to produce an output. Queries typed into a search box are the input, and the SERP is the output.

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Plenty of research has shown that algorithms can be and that many are biased. In the instance of Google, there are not only multiple algorithms at play but also AI and machine learning. All of these elements are evolving continuously through our (human) interactions.

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An SEO expert’s main worry is how to appeal to the system, not how propagating detrimental biases are programmed.

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PageRank's algorithm can reduce, replicate, or amplify biases. In homophilic models, dominant voices perpetuated biases and underrepresented minorities. When the majority is heterophilic, minorities are overrepresented.

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From the original coders to the writers, to the SEO pros and the link builders, and also society, culture, and the environment we exist in can all be responsible for the biases in SERPs.

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How to make it better?

Few suggestions to help create a more equitable search landscape are:

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Stop replicating biased content  share your platform with diverse voices and create new narratives around your niche

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Audit AI content –  AI content should be reviewed by a human as it risks falling into the same patterns.

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Algorithm audits – There are resources to audit the potential biases and audit for impact assessments.

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Support education – support or volunteer with organizations that provide coding, software, or technical training to women, people of colour, or other marginalized groups.

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Multilingual resources – create SEO and other marketing resources in languages other than English to allow for diverse voices and perspectives.

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Create less biased algorithms and AI and stop the gentrification of search.

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