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Algorithmic radicalization

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Algorithmic radicalization refers to the process where social media[2] platforms, through their personalized algorithms, guide users towards increasingly extreme content. These algorithms, designed to enhance user engagement, inadvertently create echo chambers and filter bubbles, reinforcing users’ existing beliefs and leading to confirmation bias and group polarization. This process is notably prevalent on platforms like Facebook[3], YouTube[4], and TikTok[5]. It’s been criticized for promoting misinformation, hate speech, and extremist ideologies, and has sparked legal debates. The spread of false news and extremist content is faster than truth due to these algorithms. The phenomenon of algorithmic radicalization has been extensively studied, with researchers highlighting concerns over its societal impact and suggesting the need for new regulations to control advanced artificial intelligence[1].

Terms definitions
1. artificial intelligence.
1 Artificial Intelligence (AI) refers to the field of computer science that aims to create systems capable of performing tasks that would normally require human intelligence. These tasks include reasoning, learning, planning, perception, and language understanding. AI draws from different fields including psychology, linguistics, philosophy, and neuroscience. The field is prominent in developing machine learning models and natural language processing systems. It also plays a significant role in creating virtual assistants and affective computing systems. AI applications extend across various sectors including healthcare, industry, government, and education. Despite its benefits, AI also raises ethical and societal concerns, necessitating regulatory policies. AI continues to evolve with advanced techniques such as deep learning and generative AI, offering new possibilities in various industries.
2 Artificial Intelligence, commonly known as AI, is a field of computer science dedicated to creating intelligent machines that perform tasks typically requiring human intellect. These tasks include problem-solving, recognizing speech, understanding natural language, and making decisions. AI is categorised into two types: narrow AI, which is designed to perform a specific task, like voice recognition, and general AI, which can perform any intellectual tasks a human being can do. It's a continuously evolving technology that draws from various fields including computer science, mathematics, psychology, linguistics, and neuroscience. The core concepts of AI include reasoning, knowledge representation, planning, natural language processing, and perception. AI has wide-ranging applications across numerous sectors, from healthcare and gaming to military and creativity, and its ethical considerations and challenges are pivotal to its development and implementation.
2. social media. Social media is a broad term encompassing a variety of digital tools and platforms that facilitate the sharing of information and the creation of virtual communities. Emerging from early systems like PLATO and ARPANET, it has evolved into modern platforms like Facebook and Twitter. These platforms offer unique features that differentiate them from traditional media, including the ability for users to generate content and engage in dialogic communication. They cater to over 100 million users globally and offer different forms of services, such as messaging apps and collaborative content creation platforms. The use of social media has far-reaching impacts on individuals, society, and businesses, influencing everything from marketing practices to political processes. However, it's also associated with ethical concerns, such as the spread of misinformation and potential addiction.

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 posts, to generate endless media aimed to keep users engaged. Through echo chamber channels, the consumer is driven to be more polarized through preferences in media and self-confirmation.

Algorithmic radicalization remains a controversial phenomenon as it is often not in the best interest of social media companies to remove echo chamber channels. Though social media companies have admitted to algorithmic radicalization's existence, it remains unclear how each will manage this growing threat.

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