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The article was written based on older memes about those corporations. I agree with the sentiment of it, but it's unfortunately stale info. The article is a year old, the merger was a year before that, and the graphics are sourced enough to probably track down.

From the article itself: "Of note, this infographic is dated and does not reflect the current media owners of some of the news outlets."

This is a writer who found something controversial and refreshed the topic, but added a disclaimer that it's based on older pieces of information.

All that said, I'd be wondering if it's a placement piece for YouTube's NowThisWorld user/channel. Or if it's young editors at the website just stirring things up for traffic and/or relevant content for their audience.


The 6 corporations "owning the media" concept came out just shortly before, and during, the rise of social media (e.g. I recall it circulating as far back as 2010-'12). In fact, reddit and social media are how a large number of people became aware of it.

Without picking a side or making an argument, it's basically a repeatable factoid that gets people wondering how much collaboration, and potential illicit collusion, is really being applied to the stream of messages they are exposed to on a daily basis.


This isn't true. Consolidation of (old-) media has been a concern discussed as such since well before AOL was acquired by Time Warner.


Sure, but it wasn't a shareable meme that could go viral. I'm referring to the comment about it passing the sniff test, my belief is it doesn't pass the sniff test because the concept of it being "6 corporations" is a decade old. And, as you suggest, perhaps much older.. I'm referring to when it was popularized as only 6.

Personally, I think it's naive to blame some exact set of companies... but in reality I never would've thought about it until someone pointed out how severe the consolidating was, and in plain sight.


I'm not sure if this falls under "ML", "AI" or just "algorithms", but the useful "AI" being presented to our Company produces detailed geographic and structural reports on high res aerial photography captured by private planes.

e.g. highly detailed feature reports of properties and landscapes, applied to millions of acres of data.


Is the AI being a decision making agent? Maybe that would be more in the ML/algorithms area, but I’m not sure if there is a precise definition agreed upon here...


> Get the fuck out of my country.

Not going to get anything done saying that.

> And stop buying my politicians.

Lobbying reform is an option to improve the situation you're highlighting.

https://www.citizen.org/article/lobbying-reform/

And to be more specific, you may be concerned about the AIPAC lobby, among others.

https://www.aipac.org/


Source for the facts, confirmation of a suspect with a gun who isn't not cooperating?


Yep, this report is highly contextual and it would be nice if they were more transparent as to how the data was aggregated.

While the last infographic implies the Bay Area it's not documented as a certainty.


I lived in Mpls for about 28 years, recently moved to Seattle and don't regret it. It doesn't mean I won't come back, my family is there and I love northern Minnesota (cabin country!).

The cold didn't bother me much.

Things that bother me on the coast are the insane traffic, the seemingly lack of aid and/or housing for large homeless populations, yes the high cost of living. But it's mostly awesome.

I'm missing a lot of useful points here, just some ad-hoc thoughts.


span:nth-last-of-type(2n+1):not(div) > span ?

Edit: I reversed my edits to maintain proper history.


Actually, I spoke to soon. Since selector engines work right to left, this would first narrow down the list of elements to all the spans in the document. Assuming thats a fairly small percentage of the overall tags in the document, this selector runs at .0023 ms on my MBP w/ 8 GB or RAM.

Sa'll good.

Edit: For the record, bGriz edited his comment, making my comment invalid.

Edit (2): Thanks!


Definitely fact.


Yea, thats slower for sure.



Thanks, but the video file alone loses the context that is intended. In particular, you can't see the other information that is overlaid in the intended presentation.

I think this is a pretty good demonstration of combining video and non-video information, but it also demonstrates a significant weakness of doing that if you aren't careful about how to synchronize data from the different sources.


Agreed.


It's video in a canvas element which overlays a background canvas visualization. It's unclear in the video if P5.js controls both the video and the visuals, I suspect it does.

However, it looks clear to me that a collision detection circle is added to the background visualization, and that the videography is designed to synchronize with that circle. The presenter's head represents the collision zone, where the circle is positioned. It makes the presenters head a "bounce away" zone. It's video/canvas orchestration.

God I wish I could scrub the video, though.

I would like to say it looks very neat. Hoping the guys chime in on how it parallels or surpasses existing tools. The canvas + feature mashup does appear to have great potential. There is limited reason to believe canvas elements are handicap accessible, unless you invest a large amount of time in custom markup configurations which the framework doesn't appear to have addressed.


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