From the course: Responsible AI: Principles and Practical Applications
Join today to access over 24,000 courses taught by industry experts.
AI in social media
From the course: Responsible AI: Principles and Practical Applications
AI in social media
- AI in social media can be grouped into three key areas, algorithmic amplification, deepfakes, and content moderation. These are the primary areas where AI is contributing to problems on the internet. Let's talk about the first objective of AI in social media, algorithmic amplification. The goals of social media started out innocently by using pattern recognition to identify and show people content they like in order to promote engagement as indicated by increased posting, liking, and sharing. Maximizing engagement makes sense from the perspective of the company whose objective is maximizing profit through targeted ads. To this end, many social platforms engage attention engineers to design algorithms and interfaces that keep people coming back to the site and interacting with it for longer periods of time. The CEO of Netflix, a platform known for inducing binge watching, went so far as to say that sleep is his…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.