For months, Mr. Kalanick had pulled a fast one on Apple by directing his employees to help camouflage the ride-hailing app from Apple’s engineers. The reason? So Apple would not find out that Uber had been secretly identifying and tagging iPhones even after its app had been deleted and the devices erased — a fraud detection maneuver that violated Apple’s privacy guidelines.
But Apple was on to the deception, and when Mr. Kalanick arrived at the midafternoon meeting sporting his favorite pair of bright red sneakers and hot-pink socks, Mr. Cook was prepared. “So, I’ve heard you’ve been breaking some of our rules,” Mr. Cook said in his calm, Southern tone. Stop the trickery, Mr. Cook then demanded, or Uber’s app would be kicked out of Apple’s App Store.
For Mr. Kalanick, the moment was fraught with tension. If Uber’s app was yanked from the App Store, it would lose access to millions of iPhone customers — essentially destroying the ride-hailing company’s business. So Mr. Kalanick acceded.
In a quest to build Uber into the world’s dominant ride-hailing entity, Mr. Kalanick has openly disregarded many rules and norms, backing down only when caught or cornered. He has flouted transportation and safety regulations, bucked against entrenched competitors and capitalized on legal loopholes and gray areas to gain a business advantage. In the process, Mr. Kalanick has helped create a new transportation industry, with Uber spreading to more than 70 countries and gaining a valuation of nearly $70 billion, and its business continues to grow.
But the previously unreported encounter with Mr. Cook showed how Mr. Kalanick was also responsible for risk-taking that pushed Uber beyond the pale, sometimes to the very brink of implosion.
The News Quality ScoringProject (NQS) is aimed at finding and quantifying “signals” that convey content quality. The idea is to build a process that is scalable and largely automated. Incidentally, it will contribute to debunk fake news by “triangulating” questionable sources.
As of today, we just completed a collection of 640,000 articles resulting from three weeks of gathering data from 500 of the largest American websites and their 850 corresponding RSS Feeds. The task is now extracting and analyzing relevant signals, assessing their relevancy, reliability and resistance to tampering