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Open-sourcing Twitter's algorithms is more complex than Musk implies
thenextweb.com
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"it's a start... Musk argued that disclosing what amplifies or downranks tweets would reduce the risk of “behind the scenes manipulation.” [but] algorithms alone offer limited insights" because it's not just an algorithm that defines what you see: it's a huge dataset - "content that enters the platform, each user’s p…

Platforms, Creative Communities, and the Need for a Radical Reimagining - The Reboot
thereboot.com
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Great piece on the implications for creators of the shift to algorithmically managed content platforms."Vine was an entirely new cultural platform ... Twitter had unwittingly enabled the creation of a true subculture... [but] didn’t know how to make money from it... in contrast... TikTok has prospered because it generally seems to understa…

This project aims to “de-flatten” digital publishing by matching the best content with premium ads » Nieman Journalism Lab
www.niemanlab.org

News Quality Scoring Project ... humans and algorithm to separate “commodity news” from “value-added news” ... based on quantifiable and qualitative signals — like word count, freshness versus evergreen material, quote density, contextualization, and the presence of a byline... human/machine, subjective/objective hybrid as the still-under-constru…

Facebook is patenting a tool that could help automate removal of fake news - The Verge
www.theverge.com
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Facebook’s application for Patent 0350675: “systems and methods to identify objectionable content.” ... filed in June 2015, describes a sophisticated system for identifying inappropriate text and images and removing them from the network... improve the detection of pornography, hate speech, and bullying... much easier to identify than false news s…

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