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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. Algorithms record user interactions, from likes/dislikes to amount of time spent on ...
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 ...
One of the most famous examples of collaborative filtering is item-to-item collaborative filtering (people who buy x also buy y), an algorithm popularized by Amazon.com's recommender system. [ 54 ] Many social networks originally used collaborative filtering to recommend new friends, groups, and other social connections by examining the network ...
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.
For example, with tens of millions of customers () and millions of items (), a CF algorithm with the complexity of is already too large. As well, many systems need to react immediately to online requirements and make recommendations for all users regardless of their millions of users, with most computations happening in very large memory machines.
Psy's video remained the most-liked on YouTube for nearly four years until August 27, 2016, when Wiz Khalifa's "See You Again" featuring Charlie Puth surpassed it with 11.21 million likes. Less than a year later, on July 25, 2017, Luis Fonsi's "Despacito" music video featuring Daddy Yankee claimed the top spot with 16.01 million likes ...
Since Lady Gaga's "Bad Romance" in 2009, every video that has reached the top of the "most-viewed YouTube videos" list has been a music video. In November 2005, a Nike advertisement featuring Brazilian football player Ronaldinho became the first video to reach 1,000,000 views. [ 1 ]
Examples of binary item-based collaborative filtering include Amazon's item-to-item patented algorithm [12] which computes the cosine between binary vectors representing the purchases in a user-item matrix. Being arguably simpler than even Slope One, the Item-to-Item algorithm offers an interesting point of reference. Consider an example.