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Where would 7 million Displaced Syrians Fit?

On the Interactive Multimedia team at Al Jazeera America (AJAM), we’re experimenting with reframing stories: how can we change the way people think about or understand a story? Our most recent story is a map, of sorts, which aims to put the scope of the Syrian humanitarian crisis in context for Americans.

Users can select a city, enter an address, or even click a place on the map. The interactive then calculates where seven million people — the number of all displaced Syrians — currently live in that area and displays it on the map:

south-dakota

The shaded areas represent three groups: one million child refugees, one million adult refugees and five million internally displaced Syrians.

Simply hearing that seven million Syrians have been affected by the war is not a fact that many of us can really grasp. But showing a New Yorker how Manhattan, Brooklyn, Queens and parts of the Bronx would be completely filled with displaced Syrians helps the number hit home, so to speak.

new-york1

Similarly, because the interactive takes into account population density, showing someone how those displaced people would have to be spread across a number of states if dropped in, for example, South Dakota, makes the point even more clearly.

Hearing readers

One of our main goals at AJAM is to produce stories that give a voice to the voiceless. On our team, we’re trying to tell these kinds of stories in new formats, and, importantly, trying to extend that story into a conversation with readers.

One of the great things about working in interactive news is building projects that let readers see the story in their area. In that spirit, we built a screenshot server called Banquo that lets readers easily send us a picture of what they found and tell us why they found it interesting. We present these pictures and comments as a gallery below the interactive so readers can help us surface the interesting views of the content and, more importantly, share their experiences with us and other readers.

gallery

Reading these comments actually made us aware of another angle to the story the interactive told. We always saw this project as creating an equivalency: “Seven million Syrians is equal to X.” But a couple of readers saw it in a way I think tells a much more compelling story. As Douglas from Florida put it:

“Looks like an asteroid hit the Heartland. Imagine if the entire population of Tennessee & Kentucky were displaced or had to seek refuge out of the country…” An anonymous reader similarly wrote “the number of refugees is more than the population of the state of tn, imagine if all of them were displaced?”

Instead of just seeing the numbers more clearly, these readers imagined the people, and what the effect of so many losing their homes would be if it happened in the U.S.

Kelsey from DC noted that one of the only point of comparison we have is Hurricane Katrina:

“The last major event I can recall in the US that displaced thousands was Katrina. Unsurprisingly, this is orders of magnitude larger.”

We’ve been lucky to get such thoughful comments from readers, and many of them showed us things about the project that we hadn’t anticipated ourselves, even as we were piece the piece.

How it works – the map

One of the things we like about this project is it can process any data point in the country and output something simple and visual. To do that we used CartoDB  to hold a table of Census tracts in a PostGIS database that we could run queries against on the fly.

ThePostGIS query  it runs does a few things. It first finds the nearest tracts to that point using an indexed nearest neighbor search which the helpful folks  at CartoDB showed us and which sped up the query considerably and then begins adding up the 2010 population values in those tracts. It then runs three separate queries to grab just the group ranges we’re interested in, merging all the tracts in a group together using first a ST_Union and then a UNION ALL, which takes those three query results and makes each one a row in a single larger table.

The original version of the query took around three to five seconds but with their help, it now runs between .5 and 2 seconds, the larger queries happening in rural areas where it needs to union more tracts.

The query returns three shapes in GeoJSON format, which Leaflet, the element that powers the map, can easily plot as a layer.

The screenshot service

The screenshot uses PhantomJS  to visit the interactive from a server, take a screenshot of the map container and store the image. To do this, we made a Node.js library called Banquo  which gives some special options to a Node.js wrapper called node-phantom . It uses some tricks to target and hide specific divs developed by Kevin Schaul in his screenshot module Depict . Essentially, you can give Banquo a URL, a CSS selector to target and CSS selectors to hide (such as the map zoom controls) and it will give you back the base64 encoded version of the image.

Why the base64 version of the image?

We built Banquo to be really flexible and to be agnostic about what we do with this file. Actually doing stuff with this image data is where Banquo Server comes in.

Banquo Server is a simple Express.js server that is actually the thing that our client calls with a bunch of options. It gives these options over to Banquo, which returns the base64 image and a timestamp to the client as JSONP and upload the image data to Amazon S3 as a PNG.

Originally, we wanted to eliminate storing the image on S3 completely. The plan was to return the base64 data to the client and store that along with the reader’s comments. We didn’t end up going with that (to be discussed next) but we do render the image for the reader when the screenshot is processed. Showing the image they’re about to submit is good feedback, clues the reader into what’s going on and lets them confirm if the screenshot was accurate.

Storing comments and photos

Photos are stored on S3 using the timestamp as a file name and the rest of the reader comment data we submit as a Google Form. We’re big fans of using Google Forms for reader submissions because 1) they’re really easy to customize  and 2) We’re not a database security expert so we sleep better knowing that they’re already sanitizing the input against any malicious code. Google Forms puts the results into a Google Spreadsheet, which everyone already knows how to use, so moderating the submissions is really easy. We have a column called “approved” and if it’s marked with a “y” it gets loaded into the client.

The image data was too large to store in the Google Form unfortunately, otherwise we would have stored everything in the spreadsheet. The ease of use and peace of mind, however, outweighed the extra code in storing the images on S3.

Loading the comments

You can load data from Google Spreadsheets directly into your client using Miso’s Dataset.js  or Tabletop.js  but there be dragons . It’s best to download your spreadsheet into a flat JSON or CSV file and load your data from there using a service like Flatware or Table Service.

For this particular task we used a library we made called Turntable, which copies the spreadsheet to S3 every five minutes. Turntable is a little different from those other libraries in that can has the option to only copy over moderator-approved rows and lets you specify a subset of columns to copy. The latter is nice because stripping out the submission time column that Google adds can reduce your file size.

Here’s a sketch on how it all works together:

servers

It was a lot of moving parts to put together but in the end it call came together. You might say, that’s way too much for me to figure out but here’s a cheat-sheet on the libraries we built, which are 100% open source. Hopefully it will eliminate some of the startup cost in running your own project.

Banquo – Node.js module to take a screenshot of a given webpage
Banquo Server  – An Express.js server, deployable to EC2 that will return your screenshot image data as JSONP.
Turntable – A Node.js script that can copy a Google Doc onto S3 as csv or json, allows for moderation and pruning to remove non-public reader information such as contact information.

And here some of our mock-ups:

Desktop:

desktop-mock

Mobile:

mobile-mock

 

Michael Keller is currently a member of the Interactive Multimedia Team at Al Jazeera America where he reports, designs and programs interactive stories. His work so far has covered such topics as hunger strikes at Guantanamo Bay, government spending and the humanitarian crisis in Syria .