Reddit Enhancement Suite has a tagging feature, and also shows you how many times you have upvoted/downvoted a user. It is already familiar to many Reddit users, supports every major web browser, and is open source (GPLv3). It could potentially be forked and plugged into some sort of centralized tagging database. I use this personally to tag problem users, but if the tags could be crowd-sourced, that might potentially be a game changer.
Perhaps you'd like to read the book that is the subject of the interview.
By all means don't consider Amazon an only source. I just posted the Amazon link because it lists full details like ISBN number and is a source almost anybody can get the book through.
Yup I saw that pretty early in the thread and it really stood out to me.
It really wouldn't be hard to reproduce that room in Blender. And of course you're going to point out the details you made sure to copy (the walls and the lamp).
The video is of a cell phone recording the screen of a computer. A decent tactic to hide detail.
They phishin.
Going the emulation route sounds like a really good idea, a little googling suggests there are programs including the one you mentioned - https://www.bluestacks.com/ - that can do that for Windows as well as Mac (though they seem to be aimed as a way to play mobile games on the PC... why?).
I don't have capacity to pick up a project like that so hopefully one of our other forum members will be willing to take it on, either in a virtual machine type thingy or on an actual phone. Presumably there would be security advantages to running it on a computer rather than a mobile?
Eh, so far I've just been using a rudimentary Python script with PRAW to scrape post histories into csv format, messing around with the data in spreadsheet form and then using Veusz for the graphs. Anyone with enough Python skills to get PRAW up and running could do the same.
The real trick would be in somehow mathematically proving that multiple accounts are the same person, presumably through a combo of metadata and linguistic analysis? Which is part of why I made this post, in hopes that someone with a legitimate background in these types of analytics might chime in at some point.