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After years of testing, The Wall Street Journal has built a paywall that bends to the individual reader » Nieman Journalism Lab
2016 Non-subscribed visitors to now each receive a propensity score based on more than 60 signals, such as whether the reader is visiting for the first time, the operating system they’re using, the device they’re reading on, what they chose to click on, and their location (plus a whole host of other demographic info it infers from that location). Using machine learning to inform a more flexible paywall takes away guesswork around how many stories, or what kinds of stories, to let readers read for free, and whether readers will respond to hitting paywall by paying for access or simply leaving. (The Journal didn’t share additional details about the score, such as the exact range of numbers it could be. I asked what my personal score was; no luck there, since the scores are anonymized.)
ML  journalism 
3 hours ago by elrob
What Ever Happened To Brendan Fraser? | GQ
That's a pretty good Brendan Fraser story. He just disappeared from Hollywood one day.
yesterday by shurane
After years of testing, The Wall Street Journal has built a paywall that bends to the individual reader » Nieman Journalism Lab
The Wall Street Journal thinks it might know your reading habits — and your potential spending habits — better than you know them yourself. via Pocket
pocket  favorites  paywalls  journalism  internet  payments  economics  business-model 
yesterday by bschlagel

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