Google Argues Study Showing Biased Search Results

Google Argues Study Showing Biased Search Results
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Two academics recently published a study — based on data provided by Yelp — suggesting that Google designed its search algorithm to highlight its own content rather than offer users the best matches for their search terms. Google came out swinging on Tuesday, denying the charges and claiming that the study was flawed because the Yelp data was “cherry-picked”.

More on Google rebuttal of new study

The study was undertaken by Columbia Law School professor Tim Wu and Harvard Business School professor Michael Luca, and was presented at the Antitrust Enforcement Symposium in Oxford, UK on Saturday. The study found that for local queries, “Google appears to be strategically employing universal search in a way that degrades the product so as to slow and exclude challengers to its dominant search paradigm.”

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