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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'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]
The alt-right pipeline (also called the alt-right rabbit hole) is a proposed conceptual model regarding internet radicalization toward the alt-right movement. It describes a phenomenon in which consuming provocative right-wing political content, such as antifeminist or anti-SJW ideas, gradually increases exposure to the alt-right or similar far-right politics.
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 ...
Image credits: Prince Williams/WireImage #2 Cynthia Erivo Berates A Fan-Made 'Wicked' Poster. Wicked, one of the most talked-about movies released this year, sparked massive controversy over a fan ...
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 ...
2024 was a great year for Reddit. The company went public in March with a $6.4 billion valuation and reported its first quarterly profit in October. Shares have soared 230% since its IPO.
Because side-channel attacks rely on the relationship between information emitted (leaked) through a side channel and the secret data, countermeasures fall into two main categories: (1) eliminate or reduce the release of such information and (2) eliminate the relationship between the leaked information and the secret data, that is, make the leaked information unrelated, or rather uncorrelated ...