Filterworld author Kyle Chayka examines the algorithms that dictate what we watch, read and listen to. He argues that machine-guided curation makes us docile consumers.

Centralized social media platforms dont allow users nearly enough control over their feed, and the trend is toward less and less control, as recommendation algorithms play a more central role, he ...

How social media algorithms amplify conflict When social media first began in the early 2000s, content was displayed in chronological order. But in 2011, Facebook’s news feed started choosing ...

How Social Media Algorithms Shape What You See: Key Questions Answered by Experts. ... Experts note that machine learning models are used to continuously update your feed preferences.

Social media algorithms are shrouded in ... Daniel Angus receives funding from Australian Research Council through Discovery Projects DP200100519 ‘Using machine vision to explore ...

Studies suggest that up to 95 percent of youth ages 13–17 use a social media platform, with many reporting constant use.

Social media algorithms push inflammatory content to hold our attention. But there are ways to keep yourself from falling for it. ... In his 2020 book The Hype Machine, ...

Social media algorithms are complex sets of rules and calculations used by social media platforms to prioritize content in ...

AUGUST 6, 2020 — Social media has become the latest method to monitor the spread of diseases such as influenza or coronavirus. However, machine learning algorithms used to train and classify tweets ...