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Nieman Journalism Lab
Pushing to the future of journalism — A project of the Nieman Foundation at Harvard

It’s people! Meet Soylent, the crowdsourced copy editor

The phrase “on-demand human computation” has a sinister tinge to it, if only because the idea of sucking the brain power out of a group of people is generally frowned upon. And yet, if you call it “crowdsourcing” everything sounds so much friendlier!

But calling Soylent “crowdsourced copy-editing” isn’t quite fair, since the system performs the type of jobs that are somewhere in the gray area between man and machine. More than a spell check, not quite the nightside copy editor versed in AP style, Soylent really is on-demand computation. It’s what all word processors need, the “Can you take a look at this?” button with a small workforce of people at your disposal.

Soylent is an add-in for Microsoft Word that uses Mechanical Turk as a distributed copy-editing system to perform tasks like proofreading and text-shortening, as well as a type of specialized edits its developers call “The Human Macro.” Currently in closed beta, Soylent was created by compsci students at MIT, Berkeley, and University of Michigan.

For those unfamiliar, Mechanical Turk is an Amazon service that makes it easier for small tasks (and the money to pay for them) to be distributed among a group of humans called Turkers. While savvy writers could already use MTurk to edit their work, the team at Soylent believes their system can produce better and more efficient results than would a writer working alone.

“The idea of Soylent is, what if we could embed human knowledge in the word processor?” MIT’s Michael Bernstein, the lead researcher on Soylent, told me.

That sounds technical, but as Bernstein explains, we all call on friends for help when writing. Research paper, essay, email, story, or blog post — most people rely on a second pair of eyeballs for help at least some of the time. And one thing Mechanical Turk has to offer is a lot of eyeballs.

Soylent’s three current features are called Shortn, Crowdproof, and the Human Macro:

Shortn: Ever write 1,700 words and blow right past your 1,200 word count? Shortn lets writers submit passages of text to MTurk for trimming. They can determine how much they want to cut with a handy slider tool.

Crowdproof: A superpowered, sophisticated spell, grammar and style check that provides suggestions as well as explanations why your choices are wrong.

The Human Macro: For more complicated changes — something like “change all verbs to past tense” — the Human Macro is, as Bernstein says, programming-as-craigslist-ad. The writer describes the changes she wants (capitalization of proper names, altering verb tense, annotating references with Creative Commons photos) in a request form, which humans then act on.

Bernstein argues that Soylent’s cold, detached eye is just what some writing needs. “It’s really hard to kill your own babies in your writing,” Bernstein said. “To be honest, another motivation for me is that it’s very time consuming to go and snip words and cut things from paragraphs an hour before deadline.”

But to writers already nervous about those babies being disappeared on the copy desk, handing over their copy to the faceless masses might not sound like a solution. In their research, Bernstein and his colleagues identified “lazy” and “overeager” individual Turkers, with the lazy ones doing the minimal amount of work and the overeager making wholesale changes. Bernstein said the distributed editing process behind Soylent eliminates this problem because no one Turker is working with whole passages of a document; the work is split among many.

Some in news circles are already experimenting with Mechanical Turk; ProPublica used it to identify companies getting stimulus dollars for the Recovery Tracker project. (Here at the Lab, we use it for the long transcripts we sometimes run of video or audio interviews.) MTurk could be used for any number of tasks that call for on-demand labor. But what makes Soylent different from using MTurk directly is a programming pattern Bernstein and his colleagues created called Find-Fix-Verify, which disseminates tasks across a large group of workers. The only thing required of writers is an Amazon account to pay Turkers; Soylent sets the payment rates.

Instead of one Turker reading over an entire page or paragraph, Soylent asks a group of workers to find areas that need fixing and make corrections. Those fixes are then filtered by other Turkers for inaccuracies, which produces a set of recommendations or an edited graph to a writer. Depending on the job and the document, it usually took Soylent around 40 minutes to complete a task.

To news traditionalists, Soylent may sound like the latest turn toward outsourcing in journalism that has sent copy editing jobs to places in India. It could also be akin to the automated journalism being tested by some companies or the Huffington Post’s real-time headline testing. And some day it may be. But Soylent is far from ready for the mainstream, thanks to the processing time and payment methods. Bernstein says they’re working towards having real-time edits and managing payment through Soylent, as well adapting the program to work on photo editing. Instead of outsourcing, think of Soylent as microsourcing.

And about that name: It comes from exactly what you’re thinking. Bernstein said they were looking for something familiar but also true to the idea of what they created. Soylent is made of people. It is indeed, people.

“The original name was Homunculus,” Bernstein said. “It didn’t have the same ring to it.”

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Joseph Lichterman    Aug. 26, 2014
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  • Said Hamideh

    I wish Soylent the best. I was the co-founder of a distributed writing mentorship (and copyediting) service at, launched in September of 2009 but now defunct. We had lots of success attracting the copyeditors and writing mentors at a rate which was in the hundreds of prodigiously educated applicants per day. It was a total uphill climb to find the credit card paying customers though. I will be following advancements from Soylent with great interest.

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  • Broken Turk

    Each phenomenal advancement in the utilization of Mechanical Turk’s crowdsourcing platform should be met with half a look at its worker management policies. Although Amazon disclaims itself as an employer, preferring to merely facilitate the linking up of independent contractors with job posters, Amazon still holds all of the reins when it comes to the user interface and the user policy. Job posters can reject work for any reason and can block workers for any reason. 3 blocks results in an automatic suspension of the account, and Amazon will not intervene between workers and job posters. If a worker is banned for a mysterious terms of service violation, their account earnings are forfeited, past and pending. These are serious issues that need as much attention as the neat ideas. If Amazon wants the platform to grow, they’ll have to throw some of their tech/developer/customer-service talent its way. You can read more about this at Broken Turk blog (, where the concerns of average workers are highlighted.

  • Barb Chamberlain

    Did you deliberately leave several errors in this piece for people to find, or is this a demonstration of the system?

    - “Bernstein argues that Soylent’s cold, detached eye is just want some writing needs.”
    want -> what

    - “Those fixes are then then filtered by other Turkers for inaccuracies, which produces a set of recommendations or an edited graph to a writer.”

    Multiple problems; should be more like “Those fixes are then filtered by other Turkers for inaccuracies; they produce a set of recommendations or an edited paragraph for a writer.”

    - “Soylent, is made of people.”

    Delete comma.

    There are a couple of usage/style issues someone might tackle–I’d rewrite “babies being disappeared” myself, but that’s a stylistic preference.

    As a lifelong copy editor I see lots of opportunities for extra work created by one person making one fix to a sentence in a paragraph and another person making a different kind of fix within the same paragraph, thus creating a new inconsistency. You don’t eliminate the problems between the lazy and the overeager–you potentially end up with both kinds of changes in the same document. Yes, you have other Turkers looking at this but you’ve had to build in redundancy to catch errors you introduced through the original design, to say nothing of the effect on the author’s original voice after you’ve run it through the mill twice.

    Hey, I know–let’s microsource articles by having individuals each write one sentence.


  • Susan Greenberg

    Interesting, but why the name “Soylent”? I know the letters are transcribed but it keeps making me think of the dystopic film Solyent Green

  • Susan Greenberg

    Sorry, I have just twigged – the association with the dystopic film was deliberate. But if so, why transpose the letters?

    More importantly, this is a major error of judgment, showing enormously bad taste for no good effect. How can anyone trust a company that makes such a bad decision?

  • Justin Ellis

    Barb –

    Thanks for leaving a comment and catching the errors. The Soylent team admits the system is far from perfect and far from ready for primetime.
    As to Soylent’s redundancies, that’s all by design for the specific purpose of being a safey net or a backstop to catch any new errors or changes outside of the writer’s intent.

    In this case the editing tasks farmed out are so small that it would be difficult for individual turkers to change a piece of writing dramatically.

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  • Nancymic

    Nah. Let each write a word, I say!!

  • Nanana


    Hey, can someone edit that word for me? Send me your bids and I’ll get back to you when I’ve chosen the editor I believe is best suited to edit that word. But don’t worry, I’ll have another word needing editing shortly thereafter.