LinkedIn ran experiments on more than 20 million users over five years that, while intended to improve how the online selling platform worked for members, could have affected some people’s livelihoods, according to a new study.
In experiments conducted around the world from 2015 to 2019, Linkedin randomly varied the proportion of weak and strong contacts suggested by its “People You May Know” algorithm — the company’s automated system for recommending new connections to its users. The tests were detailed in a study published this month in the journal Science and co-authored by researchers at LinkedIn, M.I.T., Stanford and Harvard Business School. Read More
