Protocols, Not Platforms for Free Speech
https://knightcolumbia.org/content/protocols-not-platforms-a-technological-approach-to-free-speech
BlueSky: https://mobile.twitter.com/jack/status/1204766078468911106
Twitter's New API
https://blog.twitter.com/developer/en_us/topics/tools/2021/build-whats-next-with-the-new-twitter-developer-platform
Having 3rd parties allowed to build on top of content recommendation services could generate different flavors for the web, preloaded with the specific tuning that you desire.
The usage of introducing "non-recommended" content (80-20), so to speak, to break up the echo chamber effect is intriguing. I wonder what effect, if any, that would have on people, and to what extent it's already used. Beyond just providing other points of view, it can help surface content that would otherwise be hidden.
"One of my ideas involved introducing what I call “final ranking providers”: third parties who take pre-digested feature vectors from the underlying content platform, then use these to do the final ranking of items in whatever way they want.
My other ideas involved introducing “constraint providers”: third parties who provide constraints in the form of computational contracts that are inserted into the machine learning loop of the automated content selection system." (Wolfram)
Apart from solving for echo chambers, I felt this could provide new ways of bundling content and could swing the bundling-unbundling pendulum in media back towards bundling.
For example, Digital newspapers can be delivered daily with fixed real estate (in XR maybe?) but with more interactive media, customization, curation, etc.
https://www.youtube.com/watch?v=xaBEFqFVSE8
https://youtu.be/InAilI9b6DA?t=49
Livemint ePaper: https://epaper.livemint.com/Home/ArticleView
Of the two solutions suggested by Wolfram, the "Final Ranking Providers" seems like a more practical idea to implement. They can be added at the end of the pipeline and don't need to weave deeper into the original content providers systems, unlike the "Constraint Provider" idea. This will make it easier for third parties to create these final rankings.
Musk Chat History
"Elon to Steve Davis: My Plan B is a blockchain-based version of twitter, where the "tweets" are embedded in the transaction as comments. So you'd have to pay maybe 0.1 Doge per comment or repost of that comment."
https://panchayat.haletic.com/posts/3252
Musk Tweeting Twitter's System Design
https://twitter.com/elonmusk/status/1593899029531803649/photo/1
Is it just me, or does it look like Musk is opening up the platform to make it neutral and avoid having to censor content? If so, we should expect the algorithm too shared publicly in some shape or form in the coming weeks/months. It'd be interesting to see how that would play out!
YouTube Algorithm
https://www.globalreach.com/global-reach-media/blog/2020/08/24/how-to-beat-the-youtube-algorithm
"video content is considered “good” and potentially sharable if it averages over 4 minutes of Watch Time, has a Click Through Rate Higher than 10% (more on this how to improve this in a minute…), and more than 50% Retention."
Twitch Predictions | Dec 2020
https://blog.twitch.tv/en/2020/12/12/channel-points-predictions-let-your-viewers-guess-your-destiny/
https://www.youtube.com/watch?v=5wpvFqQKLZw
Set up Betting on your Stream | Streamlabs
https://www.youtube.com/watch?v=xwlWb613E50
CloudBot | Gamble Module using StreamLabs
https://www.youtube.com/watch?v=xwlWb613E50
Pac Man MILE
https://venturebeat.com/2021/12/06/mark-zuckerberg-launches-pac-man-community-audience-played-game-on-facebook-meta/
Google for Games Global Insight Report
https://games.withgoogle.com/reports/insightsreport/
Not Boring | Pareto Funtier
https://www.notboring.co/p/the-pareto-funtier
Twitter Recommendation Engine
https://github.com/twitter/the-algorithm