EdgeRank

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EdgeRank is a formula developed by Facebook[1] to determine what content appears in a user’s News Feed. It was simplified in 2010 and primarily utilizes three components: user affinity, content weight, and a time-based decay parameter. The precise methods to tweak these factors are kept secret by Facebook. Interestingly, different user reactions can influence organic reach, with ‘like’ reactions potentially reducing it, while ‘haha’, ‘love’ reactions, and comments can boost it. This algorithm[2] can significantly shape users’ online experiences, sometimes leading to filter bubbles or even mood alterations. The average engagement rate for Facebook pages is less than 1%, while most non-profit pages achieve an organic reach of 10% or less. This algorithm is a crucial aspect of Facebook’s News Feed, impacting user interaction and engagement rates.

Definições de termos
1. Facebook ( Facebook ) O Facebook, atualmente conhecido como Meta Platforms, é uma grande empresa da Internet que começou como uma plataforma de rede social. Fundado por Mark Zuckerberg em 2004, o Facebook expandiu-se rapidamente de Harvard para outras universidades e, mais tarde, para o público em geral, tornando-se um fenómeno global. É conhecido pela sua interface de fácil utilização e por várias funcionalidades, como os Grupos, a Plataforma para Programadores e o Facebook Dating. Apesar de ser criticado por questões como a violação da privacidade e a difusão de notícias falsas, o Facebook continua a ser um ator dominante no mundo online. Fez progressos significativos no domínio da tecnologia, incluindo o desenvolvimento do seu sistema único de armazenamento de dados, a utilização de PHP na sua plataforma e o lançamento da linguagem de programação Hack. Nos últimos anos, a empresa mudou o seu foco para o metaverso, um espaço de realidade virtual onde os utilizadores podem interagir com um ambiente gerado por computador.
2. algorithm. An algorithm is a well-defined sequence of instructions or rules that provides a solution to a specific problem or task. Originating from ancient civilizations, algorithms have evolved through centuries and are now integral to modern computing. They are designed using techniques such as divide-and-conquer and are evaluated for efficiency using measures like big O notation. Algorithms can be represented in various forms like pseudocode, flowcharts, or programming languages. They are executed by translating them into a language that computers can understand, with the speed of execution dependent on the instruction set used. Algorithms can be classified based on their implementation or design paradigm, and their efficiency can significantly impact processing time. Understanding and using algorithms effectively is crucial in fields like computer science and artificial intelligence.
EdgeRank (Wikipédia)

EdgeRank is the name commonly given to the algorithm that Facebook uses to determine what articles should be displayed in a user's News Feed. As of 2011, Facebook has stopped using the EdgeRank system and uses a machine learning algorithm that, as of 2013, takes more than 100,000 factors into account.

EdgeRank was developed and implemented by Serkan Piantino.

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