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On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.

“Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.

Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons

The Justice Department accused Google on Tuesday of illegally protecting its monopoly over search and search advertising, the government’s most significant challenge to a tech company’s market power in a generation and one that could reshape the way consumers use the internet.In a much-anticipated lawsuit, the agency accused Google of locking up deals with giant partners like Apple and throttling competition through exclusive business contracts and agreements.Google’s deals with Apple, mobile carriers and other handset makers to make its search engine the default option for users accounted for most of its dominant market share in search, the agency said, a figure that it put at around 80 percent.“For many years,” the agency said in its 57-page complaint, “Google has used anticompetitive tactics to maintain and extend its monopolies in the markets for general search services, search advertising and general search text advertising — the cornerstones of its empire.”The lawsuit, which may stretch on for years, could set off a cascade of other antitrust lawsuits from state attorneys general. About four dozen states and jurisdictions, including New York and Texas, have conducted parallel investigations and some of them are expected to bring separate complaints against the company’s grip on technology for online advertising. Eleven state attorneys general, all Republicans, signed on to support the federal lawsuit.

The Justice Department did not immediately put forward remedies, such as selling off parts of the company or unwinding business contracts, in the lawsuit. Such actions are typically pursued in later stages of a case.Ryan Shores, an associate deputy attorney general, said “nothing is off the table” in terms of remedies.

Democratic lawmakers on the House Judiciary Committee released a sprawling report on the tech giants two weeks ago, also accusing Google of controlling a monopoly over online search and the ads that come up when users enter a query.

A U.S. appeals court ruled on Friday that Google's massive effort to scan millions of books for an online library does not violate copyright law, rejecting claims from a group of authors that the project illegally deprives them of revenue.The 2nd U.S. Circuit Court of Appeals in New York rejected infringement claims from the Authors Guild and several individual writers, and found that the project provides a public service without violating intellectual property law.

Google argued that the effort would actually boost book sales by making it easier for readers to find works, while introducing them to books they might not otherwise have seen.A lawyer for the authors did not immediately respond to a request for comment.Google had said it could face billions of dollars in potential damages if the authors prevailed. Circuit Judge Denny Chin, who oversaw the case at the lower court level, dismissed the litigation in 2013, prompting the authors' appeal.Chin found Google's scanning of tens of millions of books and posting "snippets" online constituted "fair use" under U.S. copyright law.A unanimous three-judge appeals panel said the case "tests the boundaries of fair use," but found Google's practices were ultimately allowed under the law. "Google’s division of the page into tiny snippets is designed to show the searcher just enough context surrounding the searched term to help her evaluate whether the book falls within the scope of her interest (without revealing so much as to threaten the author’s copyright interests)," Circuit Judge Pierre Leval wrote for the court.

The 2nd Circuit had previously rejected a similar lawsuit from the Authors Guild in June 2014 against a consortium of universities and research libraries that built a searchable online database of millions of scanned works.The case is Authors Guild v. Google Inc, 2nd U.S. Circuit Court of Appeals, No. 13-4829.