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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 ...
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.
A distinction is drawn "between a process of radicalization, a process of violent radicalization (legitimizing the adoption of violence), and acts of violence." [12] For the purposes of the UNESCO report, radicalization is defined by these three points: "The individual person's search for fundamental meaning, origin and return to a root ideology;
An Army veteran's path to radicalization followed divorces, struggling businesses in Texas By KRISTIE RIEKEN Associated Press BEAUMONT, Texas (AP) — Shamsud-Din Jabbar grew up in Texas, joined the U.S. Army and eventually settled in Houston, where he spun up a real estate business and made $120,000 a year for one of the world’s largest ...
Online youth radicalization is the action in which a young individual or a group of people come to adopt increasingly extreme political, social, or religious ideals and aspirations that reject, or undermine the status quo or undermine contemporary ideas and expressions of a state, which they may or may not reside in. [1] Online youth radicalization can be both violent or non-violent.
The 24-year-old said his older brother had increasingly isolated himself from family and friends in the last few years but he hadn’t seen any signs of radicalization when they talked.
This has been the pattern of Israeli public opinion for decades. But with Gaza, it may have passed the point of no return. The cratering of Israel’s once-dominant Labor Party is a case in point.
Machine learning and scientific inquiry can be used to find the most effective contents (such as videos) for deradicalization, to learn why people leave terrorist movements and to identify aspiring violent radicals.