What would I say?

made an effort to the most obnoxious article

What would I say? Something you think when posting on social media sites, when offering up your opinion about something in the news, and now, the name of an app that emerged from HackPrinceton just a few days ago.

So popular the server intermittently goes down, forcing you to access a cached copy of the site or not be able to post automatically to facebook (instead screenshotting the page to share), it was created by Pawel, Vicky, Ugne, Daniel, Harvey, Edward, Alex, and Baxter. However, they didn’t win anything there (per HackPrinceton’s Facebook event).  But now their creation has gone viral. Their creation has been profiled on the Huffington Post, with an article titled, “Your Facebook Statuses are Gibberish. Here’s Proof.“, as well as Slate and BusinessInsider. Even the New Yorker has profiled the app (revealing that Baxter, is in fact, a dog).

But what is so appealing about this app? Friends and I have already used the app, and we’ve all been delighted to discover something that nonsensically “understands” us, by spitting our own words back at us. Others have had the same reaction, posting about it with #wwis or #whatwouldisay, noting how the robot just “gets” them.

One of my friends posed the question: “Is our fascination with #wwis just a collective fit of petty narcissism?”

And I think he has a point. The most appealing thing about the app is that it is our own words–something about it seems familiar, as though we’re meeting ourselves as bots. A bot that spits our own words back at us is our favorite bot, perhaps even beating out the now retired horse_ebooks.

The bot works by (per their site):

“what would i say?” automatically generates Facebook posts that sound like you! Technically speaking, it trains a Markov Bot based on mixture model of bigram and unigram probabilities derived from your past post history. Don’t worry, we don’t store any of your personal information anywhere. In fact, we don’t even have a database! All computations are done client side, so only your browser ever sees your post history.

It’s a Markov Bot (or Markov Chain), a memoryless, random process that in this case uses bigram and unigram probabilities to generate statuses using your own, previously shared words. Part of the bot is stunningly reflective of the things we choose to share on social media. A selection of my own statuses are:

I gotta say, I also attempted to prevent pregnancy and do

Happy International WAFFLE DAY.

And, well, I guess I’m an upper middle class white STRIPES.

The issue isn’t the same but I may be

If everybody would die. Thank you, weather.

I gotta realize I also may make it

No worries, but this

People are probably hijacking the we want to grooooooooooove

Picture in A secure environment and WATCH the leaves yeah cool

1202 and counting.

I gotta make it

Shorter than $5 trillion and in the puppetized farm animals

Toronto is fun, if I had the absence of future

I gotta stop.

Bloomington, you’re dreaming of babies bbboy you’re like the bridge

Apparently I had a loop mic

Dear everyone, time to cry over

Welcome to learn something even, sometimes, something with

Pretty sure I read

Here’s hoping to click without squinting.

As statistics accumulate, algorithms as abstract, technical achievements, but a lot tomorrow.

I’ll probably because since the iTunes implosion of production — 1

Some of these were actual statuses, while many of them in the short, fragmented language, are emblematic of the fact that much of what I post to Facebook are reactions to links, with short introductory phrases. Others get a bit more existentialist, or dystopian about the future (sorry, Toronto). What is most revealing is that some of these are things I would say (or have said), but many of them are just gibberish. But they all evoke some form of emotion, whether it’s a phrase that resonates with me, or perhaps assuages me: I gotta realize, I also may make it. It’s hopeful, in it’s own way.

Robin James (@doctaj) points out in a Cyborgology article about bots, that “Horse_ebooks isn’t the bot we were hoping for; it’s a human after all.

But perhaps this WWIS bot IS the bot we were hoping for–it isn’t human, but it is ourselves.

It’s poetic, nonsensical, and when it comes down to it, it’s accurate. But it doesn’t know us. It knows the “us” we choose to reveal to the world, it generates a new Narrative of Bits and Pieces, using a bot rather than human intuition or impressions. It tells us our own story, back to us. So instead of us choosing what we’re going to say, we let the bot choose–what would I say?

What would my public self, my socially mediated self, choose to share with my friends?

 

 

More bots and writing about bots:

Two Headlines 

Of Bots and Humans

Unfortunately, as you probably already know, people

and perhaps my favorite bot: Stealth Mountain

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