None of the authors are real people, the website is registered behind a anonymization service, there is no company registered with their name, the address of their office doesn't exist, the phone number connects to a 'subscriber not in service'...
If you look at their Google Ad ID, it was used in the past on the now defunct "TheSportsTruth.com" -- which looks like it primarily existed to shuffle people to a supplement site. From there, there are a ton of links to other random affiliate schemes with sports, 'internet marketing', etc. No sense outing anyone, but I believe I figured out who's behind a few dozen of this shitty sites. The NYStockNews site seems to make its money by referrals to some penny stock scam sites.
It's crazy how much 'content' on the internet exists solely to get people to click on links to supplements & penny stock scams.
> google_ad_client: "ca-pub-6009540024781990"
From there, there are specialty services that keep track over time, otherwise, you can just search for the trailing digits on Google.
When doing so for "6009540024781990", a few sites come up, GDPInsider.com - Another stock bot-written site, and then a dead link with a Google Cache:
https://webcache.googleusercontent.com/search?q=cache:Ccudn6...
Using various other tools, you can see the domain registration information over time or ID which servers hosted it, or just find out who was linking to a domain earliest. Reddit is a great site for the latter. Often times, when a 'marketer' sets up a site like these, they immediately run to social media to try and promote it. If you can find the first time it's linked publicly, you can often find out who posted it.
That last part is actually one of the ways they tied Ross Ulbricht to The Silk Road -- They found the first public mention of The Silk Road online (The post: https://www.shroomery.org/forums/showflat.php/Number/1386099...) which was written by 'Altoid' and directed users to a Wordpress page that had been set up a few days earlier. They then found a series of posts on BitcoinTalk by 'Altoid' looking for an IT Pro in the Bitcoin community with instructions to email [email protected] if they were interested in a job... He was doing deeply illegal stuff and couldn't be bothered to mask his ID, imagine how easy it is to find rando affiliate marketers.
Many of your criticisms are totally valid. Lots of the phrasing is awkward - even the lede is really bad ("Tesla, Inc. (TSLA) has been having a set of eventful trading activity"...wat). And it feels really deceptive to put a human byline on an automated article.
We're pretty open about the fact that our solution to this problem is not "magical" at all [1, 2] - it's good, old-fashioned automation. This approach allows our customers to QA their content heavily before pushing it to production, which eliminates many of the problems with awkward/incorrect phrasing that people who rely more heavily on machine learning tend to run into. And the news articles we publish always have a note at the end saying that they were generated by Automated Insights, and don't include a human byline.
There is real value in this type of reporting - a recent study [3] found that the articles we produce for less well-known publicly-traded companies has increased the trading volume for those companies. The idea is that, yes, the content is fairly formulaic, but there's now reporting on companies that had very little coverage before we existed. There are similar arguments for mass personalization work we've done for companies like Activision Yahoo - having prose that describes raw data (even if it is formulaic to an extent) is often better than not having prose.
[1] https://automatedinsights.com/blog/the-state-of-artificial-i...
[2] https://automatedinsights.com/blog/creating-great-automated-...
[3] https://insights.ap.org/industry-trends/study-news-automatio...
Instead of producing awkward and difficult-to-read English sentences, why not use the same content generator to produce completely accurate and easier to read dynamic data visualizations?
As far as visuals vs prose, I see it as "both-and" rather than "either-or". And in addition to our journalism and personalization work, we also integrate with interactive visualization tools like Tableau.
Here's the link to the study again: [1]. This is specifically in reference to the reporting on quarterly earnings reports that we automate for the Associated Press. It's an objective summary of the financial performance of these companies that appears in news outlets across the country (for example, [2,3,4,5,6]). The companies being reported on have no influence over the content of the articles.
From the summary:
>These articles synthesize information from firms’ press releases, analyst reports and stock performance, and are widely disseminated by major news outlets within hours of publication...This study found a positive effect between the public dissemination of objective information and market efficiency.
[1] https://insights.ap.org/industry-trends/study-news-automatio...
[2] http://www.thenewstribune.com/news/business/article158779784...
[3] http://wtop.com/business-finance/2017/05/yum-beats-street-1q...
[4] http://www.foxbusiness.com/markets/2017/04/27/dominos-sales-...
[5] http://www.businessinsider.com/ap-fedex-beats-street-1q-fore...
[6] https://www.usnews.com/news/business/articles/2017-04-26/her...
I guess if I'd taken the time to read your original link we could have a more interesting discussion on whether pretty basic earnings information in a format more friendly and available to non-professional investors was adding noise to the market or providing a useful counterweight to the amount of free publicity that more prominent companies' earnings get. But I've probably already poisoned the well on this one.
Maybe it was a horribly sleep-deprived person in Wall Street at 2am and made a cut-and-paste error while half-asleep.
What will be creepy is if the auto-generated story algorithms get good enough that you can't tell what's written by a human and what isn't, there will no longer a human filter between what some powerful institution wants a news article to say and what makes it into print. Most journalists have a sense of journalistic ethics or at least a reputation to defend; an algorithm has neither of those.
http://www.npr.org/sections/money/2015/05/20/406484294/an-np...
Or to put it another way, while it was not worth the human effort to write the story, it wasn't worth the CPU cycles to write the machine generated version either. The story was not worth writing or publishing or reading at all because nobody cares including the author (which is why a machine can write it).
Of course, these are the wrong metrics.
The correct metrics are: ad impressions vs. cost to generate content.
Doesn't every bit of research we have show how hopeless all this analysis is?
Seems to be at least some sort of copy and paste going on...
edit: This is so bizarre, one of the sites has a section with editor "bios" but they read like some sort of very poor odesk/fiverr profiles, wouldn't be surprised if thats what they are...
I’d affection to help you with your written work, altering and substance needs!
...because I mentally "autocorrected" the latter half to "and mind-altering substance needs"... Looks like they used a "thesauriser" on it. Not hard to see love->affection, editing->altering, and content->substance.
Of course, if you are under the influence of a mind-altering substance, you would probably not notice anything wrong with that page. ...and unfortunately, so would many people who aren't.
https://www.upwork.com/o/profiles/users/_~012388b8f7c8ed8aa2...
(link to google for "A deeper exploration of the setup is sure to yield a clear picture"):
https://www.google.com/search?q=%22A+deeper+exploration+of+t...
Craziness. Auto-generated soup to farm SEO?
the one concern I have is someone has to give ths system enough information to create a story and what prevents a fake news machine?
> Human news writers regularly point out that AIs tend to lack nuance and a _flare_ for language in the stories they churn out. That’s probably a _fare_ criticism [...]
Maybe they used speech-to-text transcription for this, given that the mistakes are homophones? It seems very unlikely that either a human typing this, or a computerized system would make these mistakes (if it learns word associations from a corpus).
PS: the article also claims to be human generated:
> This story was not generated by an AI, but to be fair, I haven’t had my coffee yet.
EDIT: Oops, I might have misunderstood which article you were referring to, since the reference was not placed next to "this".
You underestimate people's ability to make language errors, including spelling ones. Every time I see somebody I suspect is a native English speaher using "it's" for "its", I grind my teeth. (Another instance is somebody using phrase like "as a programmer, the data bus should be written..." to mean "I, as a programmer, think that..."; this phrasing makes me simply furious.) With those errors they make reading my second language so much harder, and I can't even point their bad spelling or writing style out, because I'm seen as being nitpicking or something.
There is a certain delicious irony that you managed to contrive such a perfect example of a dangling preposition in the very next sentence after your complaint about a dangling modifier.
Skitt's Law in effect once again!
Remember that English is not my native language, and having an already established carreer, I don't have many opportunities to learn the grammar more. I'm bound to make errors and not even know about them, because there's nobody who would point them out.
If you cc me on all your work correspondence, I'll be happy to point out any grammatical errors I find (for a fee, obviously).
Though my sentence was grammatically and semantically correct, but the sentence I was complaining about was semantically invalid, so it was a little too much from you to point that out (stranding here fully intended).
> If you cc me on all your work correspondence, I'll be happy to point out any grammatical errors I find (for a fee, obviously).
A "nice" offer, but I'll pass. First, I'm not in a position to copy my work correspondence to a random dude from the internets. Second, my work correspondence is mainly in my native language.
My offer was a joke, but never mind.
[emphasis mine]
Fair enough, but I obviously picked up this manner somewhere, and from what I remember, it was long before internet got crowded by people from all over the world, so I think it was from some other native English speakers.
> My offer was a joke, but never mind.
Your joke went over my head so high that I recoiled from the superiority vibe I got from reading it as an actual offer. (I just wanted you to know that, now that it's clear what it was.)
I always get a chuckle out of thinking about it.
1. In linguistics, an eggcorn is an idiosyncratic substitution of a word or phrase for a word or words that sound similar or identical in the speaker's dialect (sometimes called oronyms). The new phrase introduces a meaning that is different from the original but plausible in the same context, such as "old-timers' disease" for "Alzheimer's disease". - https://en.wikipedia.org/wiki/Eggcorn
https://www.theverge.com/2015/1/29/7939067/ap-journalism-aut...
I checked the attribution, and there is a person's name on it. Sure, any hack can write and publish and this is probably just another example. But the odd style doesn't even strike me as 'writing the way I think' or writing and publishing quickly without editing. For example, from the 2nd paragraph, "The corresponding low also paints a picture and suggests that the low is nothing but a 97.89% since 11/14/16." I can't gather any meaning from that statement, yet it has oddly specific details.
I am not glad to see this trend and not glad that Google is embarking on this path. I suppose it is inevitable, but unless there is expertise built into this AI that can extract meaning from data on my behalf and present it in a way that is more insightful and interesting than I am, it will become yet another source of chaff I'll have to filter.
Can we at least, please, flag AI generated prose as such?
[0] https://www.nystocknews.com/2017/07/05/tesla-inc-tsla-showca...