LinkedIn’s experiments on users have drawn scrutiny from a new study that says the platform may have crossed a line into “social engineering.” The tests, over five years from 2015 to 2019, involved changing the “People You May Know” algorithm to alternate between weak and strong contacts when recommending new connections. Affecting an estimated 20 million users, the test was designed to collect insight to improve the Microsoft-owned platform’s performance, but may have impacted people’s career opportunities. The study was co-authored by researchers at LinkedIn, Harvard Business School, MIT and Stanford and appeared this month in Science. Continue reading LinkedIn Test Raises Ethics Questions Over Parsing Big Data

Fabric Media chief executive/founder Jason Damata led a discussion at NAB with two experts in the field of social media intelligence. Dr. Indraneel Mukherjee founded LiftIgniter, which is “a machine learning personalization, recommendation and discovery engine” for websites and apps to have one-on-one conversations with users. Dr. John Kelly is chief executive at Graphika, which turns “network relationships into dynamic maps of social influence, enabling precision targeting and action to drive business results.” Continue reading NAB 2018: Analytics Scientists Look at Social Media and Bots