Journalism generated by machine is on the rise
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Re: Journalism generated by machine is on the rise
#32> The program can dissect a financial report the moment it appears and spit out an immediate news story that includes the most pertinent facts and figures. As an accountant in a prior life, I can tell you that this approach won't provide anything near "the most pertinent facts". That's because public earnings reports are written specifically to circumvent automated analysis. Wall Street firms have tools in place to s…
Also, journalists are supposed to provide the "facts", not analysis. They aren't financial experts so even if they provided analysis, I wouldn't put much stock in them.
Re: Journalism generated by machine is on the rise
#33The thing is the majority of what humans consume is so structured [tv procedurals, romance/SF/fantasy novels, superhero comics, news, etc, ad nauseam] is so tightly structured you don't even need an AI to generate it, even just a markov generator will do it most of the time (someone had a project that generated quotes indistinguishable from 50 Shades of Grey). They'd already written screenplays on computers at MIT in…
You're not going to get a (remotely decent) novel out of a Markov chain text generator unless you're using tuples so long that you're just regurgitating an existing novel.
An actual implementation of such would be wonky?[1] Yes. But decent is a relative word. People are quite willing to put up with a lotta issue to get what they want. (The churn of quick-shift material in the self-publishing world is enough to demonstrate this.)
But, in relation to the nature of text vs video as I mentioned in another comment, the integrity of the written word probably doesn't matter. If video dominates, the words needed in a script need be no more than a generalized layout of plot-points filled with a bit of ad lib and improvisation. (Given the nature of so much 'reality tv' you don't even need that, simply impress the images and arrange them to the pre-defined consumer-expected structure.)
We really overestimate the importance of the novel. Tweets could be generated easily (and are), and such snippets, I'll argue, are to most-consumed scriptorial content. And visual media predominates. The novels that have wide-ranging effects are things like Dan Brown, which are structured in just such the way as they are much easier than would be suspected to be systematized (As most people will admit: he's really good at writing the same book over and over again).
And the people who care about 'remotely decent novels' beyond their own engagement are few and far between. They have no mainstream cultural value (in the US) beyond shock value.
[This is not to be taken as me knocking novels. Also, I may be too US-centric, but I doubt the rest of humanity is any less dominated by the arresting nature of the visual, or, again, they interact heavily through messaging apps that count in the snippet category.]
>regurgitating an existing novel
That's what most media is. (Which is not to be taken as a slam; a given culture has to repeat or it's not a culture.)
[1] Am I going to absolutely bet on that it would work? No. But I've done some work in this area, and I still will contend the distance between theory and praxis is much smaller than anyone wants to admit. The tooling would be much simpler than a full-blown AI.
Re: Journalism generated by machine is on the rise
#34Earlier quoted context omitted.
Id be really interested in your technical approach to this. How did you implement this in a high level?
The core of it is a decision tree tied to a pretty in-depth database that either knows everything about the city or seeks to learn everything about the city. The system reads an event on the calendar that says "Van Halen is playing at American Brew Pub on February 12th at 7pm" and starts running running through the decision tree pulling information out of the database to fill in the blanks on the phrases it's picked.…
Re: Journalism generated by machine is on the rise
#35Re: Journalism generated by machine is on the rise
#36> The program can dissect a financial report the moment it appears and spit out an immediate news story that includes the most pertinent facts and figures. As an accountant in a prior life, I can tell you that this approach won't provide anything near "the most pertinent facts". That's because public earnings reports are written specifically to circumvent automated analysis. Wall Street firms have tools in place to s…
Wall Street firms get financial feeds from zacks, edgars, morningstar and a whole slew of other financial data providers. Finance sites, like yahoo finance also get their data from these sources. They don't have to scrape anything for data. It comes in structured CSV, XML, etc format already. Also, journalists are supposed to provide the "facts", not analysis. They aren't financial experts so even if they provided an…
Data quality varies from vendor to vendor. Additionally, speed is a factor in how profitably some strategies can be executed. When firms are examining bits on the wire to guess whether earnings were good or not (before the full headline arrives), you can’t necessarily wait for the vendors to update their releases, especially since all of your competitors will have exactly the same data.
Re: Journalism generated by machine is on the rise
#37Yet, the elephant in the room is the fact that more and more attention span is held by just a handful of platforms. If economic trends are any indication, the coming 'winter' will be rough for many firms that are competing for fewer dollars that aren't on Facebook or Google.
Interesting times ahead...
Re: Journalism generated by machine is on the rise
#38Re: Journalism generated by machine is on the rise
#39> The program can dissect a financial report the moment it appears and spit out an immediate news story that includes the most pertinent facts and figures. As an accountant in a prior life, I can tell you that this approach won't provide anything near "the most pertinent facts". That's because public earnings reports are written specifically to circumvent automated analysis. Wall Street firms have tools in place to s…
Wall Street firms get financial feeds from zacks, edgars, morningstar and a whole slew of other financial data providers. Finance sites, like yahoo finance also get their data from these sources. They don't have to scrape anything for data. It comes in structured CSV, XML, etc format already. Also, journalists are supposed to provide the "facts", not analysis. They aren't financial experts so even if they provided an…
As 'structured data' goes, it's nowhere near where it needs to be to support 'instant article generation' beyond anything but the shallowest headline numbers. The consolidated financial statements all have appendices (notes) with relevant details. The case study you linked to simply indicates only that reduced man-hours significantly by automating the process of manually picking numbers and putting them into an article template. They may as well be putting out a press release.
Although the topic of the post is how automation affects financial journalism, it bears mentioning that an analysts' job is to reverse engineer the report to see how they arrived at those numbers. The vendors' auto-generated reports never include formulas, so you'll have to be doing your own calculations as part of your due diligence.
For instance, if they're trading at a high P/E ratio, how much of that is due to positive investor sentiment and not related to recent buybacks? The headline numbers won't reveal that, but past data and the notes to the financial statements usually will.
If their cash balance says $x billion, how much of that came from convertible bond issues that are coming due in the next 12 months?
[1]http://ir.tesla.com/sec-filings?field_nir_sec_form_group_tar...
Re: Journalism generated by machine is on the rise
#40Earlier quoted context omitted.
The core of it is a decision tree tied to a pretty in-depth database that either knows everything about the city or seeks to learn everything about the city. The system reads an event on the calendar that says "Van Halen is playing at American Brew Pub on February 12th at 7pm" and starts running running through the decision tree pulling information out of the database to fill in the blanks on the phrases it's picked.…
The concept seems pretty solid, but reading the output I feel like this is bordering on unethical. Maybe this is just a bad example, but it seems you’ve gone past programmatically giving people information, and into giving the impression you’re actually endorsing things. Unless you actually add metadata to the artist saying you love them, or rate the venue to indicate it’s good for live music, you’ve got no way of go…
In any case the AI could make several educated guesses on how good the band is. Quality of the venue would be another indicator.