But this situation will not last for long. The kinds of black-box machine learning that have been so successful in the age of mass surveillance are going to become commoditized and will no longer require skilled artisans to deploy.
.. yeah, but what about the data? You won't build a good ML model without the data, which only the already existing monopolies have access to.
Part of the problem with Twitter, insiders told me in February, is that the company never set clear guidelines for what kind of language or behavior will get somebody banned—a quandary that has led Twitter to continually move the goalposts for people like Donald Trump.
The fact that there are no clear guidelines might come from following reasons:
So, what if Twitter built an annotation / commenting platform that provided some of the same functionality to create in-line annotations and comments all anchored around Twitter with the conversation weaving back and forth between publisher site’s content and Twitter stream.
Twitter recently had acquired Highly ( https://www.engadget.com/2019/04/17/twitter-acquires-quote-sharing-app-highly/ ), and Highly development has been stopped since then. So maybe they will make some of it.