All articles tagged with #personalized content
Originally Published 28 days ago — by 9to5Google
Google is testing a new feature called 'Tailor your feed' in Discover that allows users to customize their content preferences through prompts, specifying topics, sources, vibes, and more, with AI updating the feed instantly. The feature is in early testing and available in US English.
Originally Published 2 years ago — by 9to5Google
YouTube is introducing a new "For You" section on individual channels that will recommend videos to viewers based on their watch history. The feature, set to launch on November 20, aims to provide a tailored experience for users and focuses on individual creators rather than the platform as a whole. Creators can already access settings for the section, allowing them to choose the types and timeline of content to be shown. This feature has been in testing and is similar to what users see on TikTok.
Originally Published 2 years ago — by The Verge
TikTok will allow users in Europe to disable its personalized content algorithm in order to comply with the EU's Digital Services Act. Users will be able to view popular videos from their region and around the world instead of content based on their personal interests. The search feature will also show popular content in the user's region, and videos in the "Following" and "Friends" feeds will be displayed chronologically when a non-personalized view is selected. Additionally, European users between the ages of 13 and 17 will not be targeted with personalized ads based on their online activities. TikTok aims to implement these changes by the DSA's deadline of August 28th.
Originally Published 2 years ago — by WIRED
The first episode of the new season of Black Mirror, "Joan Is Awful," explores the idea of personalized content generated by AI using deepfakes of famous actors as stand-ins for regular people. The episode takes this concept to extreme lengths, but the supposed benefits of generative AI include tailored content to individual tastes. However, this could be terrible for websites that draw currency from shared cultural moments. The media's attempt to replicate the success of algorithms could lead to personalized content about personalized content.