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These ghost lists act as scorecards by keeping track of the history of recently evicted cache entries, and the algorithm uses ghost hits to adapt to recent change in resource usage. Note that the ghost lists only contain metadata (keys for the entries) and not the resource data itself, i.e. as an entry is evicted into a ghost list its data is ...
When you choose to follow another Twitter user, that user's tweets appear in reverse chronological order on your main Twitter page. If you follow 20 people, you'll see a mix of tweets scrolling down the page: breakfast-cereal updates, interesting new links, music recommendations, even musings on the future of education.
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.
This need to find a solution only becomes even more pressing as we move forward, since what a neural network like OpenAI’s GPT-4 is at its most basic level is an algorithm harnessing data ...
The Twitter Files are a series of releases of select internal Twitter, Inc. documents published from December 2022 through March 2023 on Twitter.CEO Elon Musk gave the documents to journalists Matt Taibbi, Bari Weiss, Lee Fang, and authors Michael Shellenberger, David Zweig and Alex Berenson shortly after he acquired Twitter on October 27, 2022.
A Twitter image-cropping algorithm that went viral last year when users discovered it preferred white people to Black people was also coded with implicit bias against other groups.
By Monday, Twitter reportedly made changes to “greenlight” Mr Musk’s tweets, meaning they would bypass the platform’s filters designed to show the best content possible to users.
In September 2024, the FTC released a report summarizing 9 company responses (including from Twitter) to orders made by the agency pursuant to Section 6(b) of the Federal Trade Commission Act of 1914 to provide information about user and non-user data collection (including of children and teenagers) and data use by the companies that found that ...