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Algorithmic radicalization is the concept that recommender algorithms on popular social media sites such as YouTube and Facebook drive users toward progressively more extreme content over time, leading to them developing radicalized extremist political views.
YouTube has a pattern of recommending right-leaning and Christian videos, even to users who haven’t previously interacted with that kind of content, according to a recent study of the platform ...
Despite this, the photos continued to be reshared among accounts of X, and spread to other platforms including Instagram and Reddit. [19] X enforces a "synthetic and manipulated media policy", which has been criticized for its efficacy. [20] [21] They briefly blocked searches of Swift's name on January 27, 2024, [22] reinstating them two days ...
YouTube's content recommendation algorithm is designed to keep the user engaged as long as possible, which Roose calls the "rabbit hole effect". [5] The podcast features interviews with a variety of people involved with YouTube and the "rabbit hole effect". [6] For instance, in episode four Roose interviews Susan Wojcicki—the CEO of YouTube. [2]
Image credits: David M. Russell/CBS #6 MrBeast Faces Public Scrutiny. In 2024, Jimmy Donaldson, widely known as MrBeast, faced a series of controversies that challenged his public image and ...
In April 2024, a deepfake video misrepresenting Philippine President Bongbong Marcos was released. It is a slideshow accompanied by a deepfake audio of Marcos purportedly ordering the Armed Forces of the Philippines and special task force to act "however appropriate" should China attack the Philippines.
Influencer Chris Olsen is opening up about the emotional toll of intimate photos shared online without his consent. In a tearful TikTok video shared on Aug. 10, Olsen said he never consented to ...
It is a combination of the word "deep learning", which refers to the program used to create the videos, and "fake" meaning the videos are not real. [ 1 ] Deepfake pornography was originally created on a small individual scale using a combination of machine learning algorithms , computer vision techniques, and AI software .