Google collects massive amounts of data that can be used to train algorithms and improve search results, bolstering Google’s market dominance and lowering competition, according to the Justice Department's antitrust lawsuit against Google. The suit, filed along with 11 states' attorneys general, alleges that the company engages in illegal anticompetitive practices to maintain its dominance in web search and search advertising.
- In the complaint filed Tuesday, the DoJ says Google's search requires "complex algorithms" that continuously learn what results and ads best respond to search queries. Google's "volume, variety, and velocity of data" bolsters the automated learning of search advertising algorithms, it says.
- Algorithms can then deliver more relevant results, especially for fresh, location-based, and "long-tail" queries, or those used infrequently, the lawsuit claims.
- The government also alleges that Google paid mobile manufacturers and carriers to set Google as a default search engine. The company does not allow its browser Chrome to be deleted from Android devices.
- On Oct. 6, a House Judiciary subcommittee released its findings after a 16-month investigation into Big Tech's business practices. It noted that Google overwhelmingly dominates the online search market by capturing 87% of U.S. search and 92% of global search queries. Their report noted that access to such large datasets gives tech giants a notable advantage over smaller businesses and startups, “especially when combined with machine learning and AI."
- Google suggested in its response post that antitrust law should be used to protect consumers, not aid Google's commercial rivals.
- Mark Cuban generated controversy on Twitter, criticizing the DoJ's decision to "come after" Google for being better than the competition at AI: