Publishing, Machine Learning, Data-Based


Making Sense: Publishing

  • It's a Fascinating Time to be a Publisher Today. Taylor Davidson: Depending on the data, social referral sites drive approximately 23% of publisher traffic. While still significantly less than search (organic search drives approximately 40% of referral traffic), the share of social referral traffic is growing, and as a far more immature channel than search, there’s a lot more upheaval in how to maximize social referral traffic.
  • The Year I Didn't Retweet Men. Anil Dash: For me, for my experience, it’s better. I feel happier about the time I spend on Twitter, and it’s made me try to be more thoughtful, and more disciplined with other things I do in my time online. Some of those things are structural, like playing with repeated refrains within tweets, and some were more experimental, like testing patterns of posting at certain times or with certain rhetorical devices.

Making Do: Machine Learning

  • Three things Bill Gates wishes he could have done 20 years ago. QuartzThe ultimate is computers that learn. So called deep learning which started at Microsoft and is now being used by many researchers looks like a real advance that may finally learn.[…] Ideally people can start to mix in some philanthropy like Mark Zuckerberg has early in his career. […] 20 years ago I would stay in the office for days at a time and not think twice about it—so I had energy and naivete on my side. Now hopefully I am a bit more mellow but with a little extra wisdom.
  • How Google's Robots can Learn Like Humans. Fast Company: what is machine learning, exactly? Stanford University computer science professor Andrew Ng defines it as "the science of getting computers to act without being explicitly programmed." In fundamental terms, machine learning is a branch of artificial intelligence that is meant to replicate the way humans take in information from their environment to make better-informed choices for the future.

Making It: Data-Based

  • How CivicScience is massively disrupting consumer research, 400 million opinions a year. VentureBeat: CivicScience’s model […] Give something away of huge value to get something of tiny value incrementally but huge value in aggregate. [..] the give is sophisticated website visitor analysis, and the get is consumer polling data. In other words, CivicScience gives hundreds of media organizations better insights into their users, in exchange for inserting short polls into their stories.
  • Sell Your Personal Data for $8 a Month. MIT Review: Hogan says that almost 1,500 people have signed up during the beta trial, and that within a few months the service will be open to everyone. The company also might offer people the option of sharing data from lifelogging devices such as the FitBit or parts of their Web search history.


From Conversation Agent:

[image courtesy Rita, spotted in Newport, RI]


Valeria is an experienced listener. She designs service and product experiences to help businesses rediscover the value of promises and its effects on relationships and culture. She is also frequent speaker at conferences and companies on a variety of topics. Book her to speak here.