Today I thought to share some Tips that have helped me survive Twitter as a Liberal supporter - in the hopes they'll help you too. A thread:

@curaffairs The author doesn't know enough about search to have written that article and the reason he's having those problems is AI algos like Rank Brain and Google's attempts to use natural language processing nothing to do with SEOs.

1/x

YMYL is not evaluated at the site level, but the query level.

Again this is on Google, not SEOs because they want to surface better sites.

And those devaluations are part of Core Updates which SEOs like me recover sites from.

2/

Featured Snippets are not optimized for - you can use certain HTML to be pulled in one but there is no definite use case where Featured Snippets are shown or that your site's will show for it. Also doesn't always come from the #1 result.

& that's Google not the SEO.

3/

Also there are many times when an SEO doesn't want their site in the Featured Snippet cuz it doesn't result in a click to the website. But we have no control over what Google pulls as Feature Snippets except to put in a meta tag to exclude us from them

4/

And Neil Patel is not an SEO. Most senior level SEOs see him as nothing more than a scammer because reportedly he's ripped them off by stealing their content and articles and passing them off as his.

5/

What are the implications of using hacked data for research?

A short thread inspired by the fact that, before AWs took it down, #Parler was extensively hacked and user data was leaked.

The #Parler dataset seems crazy interesting for doing research, and my first reaction after the breach was to shre it with other #CompSocSci ppl.

However, I started having second thoughts, so what follows is to organize ideas and have it somewhere I can look back to.

2/n

Generally speaking, as far as the ethics of research goes a good advice would be to handle hacked data with caution.

First of all, there's an issue of quality. Data might be altered or incomplete, and the source cannot be considered accountable (assuming src is anonymous).

3/n

Secondly and more importantly, a researcher using the data would probably be violating users’ consent and acting against the data collector's will.

Finally, users’ privacy is at stake, since researchers could see material that users didn’t agree for other people to see.

4/n

Sharing private information without consent might put people at risk of harm.

This is all the more true in cases such as the #ParlerHack, where the leaked information is of particularly sensitive nature, and there’s a high risk of unintended consequences.

5/n

Question: HOW Many Accounts Does Twitter Follow???

Answer: Only 9

WHO Are They Following???

Facebook is a newstand. But no one can see which news Facebook is pushing to the top.

So we built an app for that called #CitizenBrowser. Our first finding: the sharp impact of Facebook’s political ad ban reversal in the Georgia Senate elections.
https://t.co/GZNdwZOlHW /1

This is the first report from our #CitizenBrowser project. There will be many more to come. But first, I want to tell you a bit about how we did it because it’s the most ambitious thing we’ve ever done @themarkup – and we do a lot of ambitious projects. /2

#CitizenBrowser grew out of conversations @suryamattu and I had about how to audit Facebook. We had both worked on browser extensions to collect data from Facebook, but FB always threatened to shut those down, just like their recent threats against the NYU AdObservatory. /3

But the bigger problem is that browser extensions don’t capture most FB activity. Most people use FB on mobile and browser extensions only work on desktop or laptop computers.

So one night, late at the WeWork, @suryamattu said to me: “We’ll have to build our own browser.” /4

“No way,” I said. “That’s insane.” But slowly, I came around. Here’s why: browsers are good at running in the background. Users could log into FB once through the browser and never use it again.

Then we wouldn’t be monitoring users. We would only be monitoring their feed. /5

Play is our future

Skill is measurable w/ two resources 1) time, 2) energy

Players whose actions make better use of these resources can be defined as optimal. This is not subjective

Time (faster)/overload/conscious/stress
Energy(easier)/underload/unconscious/low anxiety

Orgel's First Rule:

"Whenever a spontaneous process is too slow or too inefficient a protein will evolve to speed it up or make it more efficient."

Faster (speed/strength)-Deliberate Practice
Easier--Play

Overload (D.Practice) builds faster=hypertrophy and results in measurable selection resulting in problems such as Relative Age Effect, and players with very fast cars saddled with inexperienced drivers

It's more likely to be wrapped around a tree than finish the race.

as Orgel says, if we allow it, play will produce faster and easier

Kids in play build the driving sills first, in Go Karts, like Ayrton Senna

Big brains, slow cars, easier

But where speed is limited by physics,

Ideas are plentiful and under resourced in US youth sport

Almost every coach will agree w/ the following

Competition is important
Training is more important than games
Play is more important than both

But,

the big thing is to keep the big thing the big thing