YOUR NOT SUPPOSED TO KNOW.They Studied us and then Scrubbed Us.

People need to know that the Illuminati has been watching apparently every YouTuber on YouTube and others across the entirety of social media. I do agree with RichieFromBoston that social media was created by the Illuminati in order to use and abuse any Truther they saw fit. This is precisely why some Truthers out there get deleted, abused, or pretty much nothing done to them. It is all just psychological operations wrapped in additional psychological operations. One of those psychological operations sole purpose is to cause envy and jealousy in as many Truthers as possible.

"Why the fuck did my channel get taken down, but yours is up and running still?! It's not fair I tell you! It's just not fair!".

That is a fair assessment of how alot of Truthers will initially think and believe things to be. Over time the afflicted Truthers and/or their former viewership(s) will begin to move from the Blame Game onto all out verbal assaults and accusations of being part of the Illuminati such as being a Freemason, Eastern Star depending on your gender. As so long as you remember what this crap is just psychological operations wrapped in an unknown number of other psychological operations you will be mentally and emotionally pushed outside of it all. You will be looking in from the outside wondering why noone else seems to acknowledge this truth.

Already knew this.

Cool. Not bad then, ExtremeViper.

Page 18 of that pdf.

godlikeproductions listed.

Pinned ya. This is important.

You + are

You're

...

Lol at the use of the term “truthers” for YouTube Tards

Thanks, My Foolish Daydream.

[youtube] [link to www.youtube.com (secure)]

Yup, I'm a terrorist, apparently.

The reason they control the platforms, and remove critical thinkers, is because they can't allow their followers to grow to unsustainable numbers. They don't want anyone the means of communication to organize.

The reason the people are programmed, is because they control the airwaves across the world.

Oh good you're not dead.....

So in other words, we're on our own and there's absolutely no one, organization, or politician with significant power and authority on our side.

So in other words, we're fucked beyond comprehension.

Gee, that's comforting. No matter what we do, the evil powers that be will always be one step ahead of us and herd us like sheep to our eventual and inevitable slaughter.

They're drowning in their own biases. For one thing, they misrepresent political alignment by skewing the Overton window so anything to the right of center is seen as "extremist". This is what their terms really mean:

"Far Right" = Conservative

"Right" = Centrist

"Center" = Progressive

"Left" = Radical Marxist

"Far Left" = Rabid Mentally Ill Radical Marxist

They also keep showing their bias by the use of weasel language. Take this snippet from page 8 as an example:

"While the far-right echo chamber is somewhat smaller than the left and centrist communities, it is rapidly growing in population size and watch time."

Did you get that? Conservatives have an "echo chamber", but radical Marxists have a "community"!

All in all, they treat conservatives watching content they resonate with as a problem, and seek to find out who or what is responsible, and what can be done about it.

You want to know why I gave you one star?

Because you're a bibletard.

Because you copy and paste all your headlines.

And because you're generally irritating.

I miss Richie, haven't been to many bitchute vids yet.

Whois is a very good tool, location tells you alot about who you listen to and where you go.

Hahaha - yup.

Normal human being who wants free enterprise and happy children = "nazi", "racist".

Normal human being who feels he/she belongs somewhere = "nazi", "racist".

Natural human being in multigenerational, traditional habitat = "anti-vaxxer", "crazy conspiracy theorist", "mass murderer", "nazi", "racist".

White European male on ancestral ground = "nazi", "racist".



Who gives a red rat's ass any longer.

I caught that.

I like this guy!!!!!

If you click on the authors name it will bring up their other so-called "research". The topics are telling - I am copying 2 of the abstracts here. Less than 50.


Learning Behavioral Representations from Wearable Sensors

Authors: Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, Kristina Lerman

Abstract: Continuous collection of physiological data from wearable sensors enables temporal characterization of individual behaviors. Understanding the relation between an individual's behavioral patterns and psychological states can help identify strategies to improve quality of life. One challenge in analyzing physiological data is extracting the underlying behavioral states from the temporal sensor sign… ▽ More
Submitted 4 July, 2020; v1 submitted 16 November, 2019; originally announced November 2019.


arXiv:1808.10867 [pdf, other] cs.LG stat.ML
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction

Authors: Homa Hosseinmardi, Amir Ghasemian, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara

Abstract: Today's densely instrumented world offers tremendous opportunities for continuous acquisition and analysis of multimodal sensor data providing temporal characterization of an individual's behaviors. Is it possible to efficiently couple such rich sensor data with predictive modeling techniques to provide contextual, and insightful assessments of individual performance and wellbeing? Prediction of different aspects of human behavior from these noisy, incomplete, and heterogeneous bio-behavioral temporal data is a challenging problem, beyond unsupervised discovery of latent structures. We propose a Supervised Tensor Embedding (STE) algorithm for high dimension multimodal data with join decomposition of input and target variable. Furthermore, we show that features selection will help to reduce the contamination in the prediction and increase the performance. The efficiently of the methods was tested via two different real world datasets. △ Less

Submitted 31 August, 2018; originally announced August 2018.

arXiv:1805.03280 [pdf, other] cs.SI
doi
10.1109/TCSS.2018.2877083
Capturing Edge Attributes via Network Embedding

Authors: Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan

Abstract: Network embedding, which aims to learn low-dimensional representations of nodes, has been used for various graph related tasks including visualization, link prediction and node classification. Most existing embedding methods rely solely on network structure. However, in practice we often have auxiliary information about the nodes and/or their interactions, e.g., content of scientific papers in co-… ▽ More
Submitted 22 May, 2018; v1 submitted 8 May, 2018; originally announced May 2018.

Journal ref: IEEE Transactions on Computational Social Systems, Volume: 5 , Issue: 4 , Dec. 2018

Bumping for later viewing.

Holy crap!!!!!!!! There is far, far more considered far right, so tell me how a leftist got elected????????? This is so crazy!!!!!!!!!!!!! Insane!!!!!!!!!!!!!

One of the others on page 18 starts with X lol

i saw that thread yesterday.. lol