Handful Of Twitter Users Can Sway Council Decisions, Finds Data Analysis Of ‘Low Traffic Neighborhood’ Posts – Forbes
Carlton Reid Dec 12, 2020
“If the Internet was a block of flats, would you want to move in?” asked London-based Jimmy Tidey on tech media site Hackermoon in 2017. An expert on Twitter tribes, Tidey argued that self-selection and algorithms separate people from information which disagrees with their viewpoints, leading to online polarisation.
His latest research delves into the divisive debates about London’s new “low traffic neighborhoods.” Using graphics to represent “filter bubbles,” he explores how a small number of individuals on Twitter can convince themselves and others—including councils—that their opinions are the truly mainstream ones.