Jacob’s work on Source

Code

1. statement

Projects

1. Thank You, Electionbot
2. Connecting with the Dots
3. Gender, Twitter, and the Value of Taking Things Apart
4. SRCCON: How Not to Skew Data with Statistics
5. Bots with Thoughts
6. Watching the Results Change
7. They Are Tweet Zombies!! They Are Followers!!
8. The Perils of Polling Twitter
9. Strongbox Reactions, Part II
10. How the Data Sausage Gets Made
11. The New York Times’ Election Results Loader

Articles by Jacob

1. 

   Just One Thing: A Year in Review, Part I

   Appreciation of usefulness and bar-raising at the end of a long, complicated year

   Posted on December 16, 2015

   As we did last year, we’ve asked a couple of dozen people from all around the news-nerd community to tell us about one thing—article, feature, app, tool, or something else entirely—that they loved in 2015. This week, we’re publishing their responses, from interactives to project management software. We hope you find here at least one thing that eases your work, inspires new angles on your stories, and helps carry you through to 2016.

2. 

   Thank You, Electionbot

   A friendly bot that will shoulder the burden of monitoring offers peace of mind as well as efficient notifications

   Posted on March 30, 2015

   Offloading some of a burden of continuous human monitoring to a friendly bot can be just the comfort you need on a cold Election Night.

3. 

   Consider the Boolean

   The Challenge of Using Binary Data Structures in a Complicated World

   Posted on February 18, 2015

   The challenge of using binary data structures in a complicated world.

4. 

   Connecting with the Dots

   Jake Harris on data visualization, empathy, and representing people with dots

   Posted on January 15, 2015

   Jake Harris on data visualization, empathy, and representing people with dots

5. 

   Gender, Twitter, and the Value of Taking Things Apart

   Jake Harris reverse-engineers Twee-Q to evaluate its use of data (and see if his ratio is as disappointing as Twee-Q says it is)

   Posted on September 18, 2014

   Jake Harris reverse-engineers Twee-Q to evaluate its use of data (and see if his ratio is as disappointing as Twee-Q says it is)

6. 

   Distrust Your Data

   Jacob Harris on Six Ways to Make Mistakes with Data

   Posted on May 22, 2014

   Jacob Harris on six ways to make mistakes with data—and how to avoid them.

7. 

   Bots with Thoughts

   Jacob Harris on magic, aesthetics, and the newsbot frontier

   Posted on March 28, 2014

   Jacob Harris on magic, aesthetics, and the newsbot frontier.

8. 

   And Remember, this Is for Posterity

   Jacob Harris on the hows and whys of designing interactives to survive the future

   Posted on November 14, 2013

   Jacob Harris on the hows and whys of designing interactives to survive the future.

9. 

   Watching the Results Change

   The New York Times’ Jacob Harris on Election Projections

   Posted on November 7, 2013

   Jacob Harris on the challenges of reporting and calling elections and the making of the NYT’s chart of minute-by-minute Virginia governor’s race reporting action.

10. 

    The Times Regrets the Programmer Error

    Jake Harris opens a serious barrel of monkeys about when and how to issue corrections for data journalism

    Posted on September 19, 2013

    Jake Harris opens a serious barrel of monkeys about when and how to issue corrections for data journalism.

11. 

    They Are Tweet Zombies!! They Are Followers!!

    Jake Harris on how dead accounts and spambots can mess with your Twitter data mojo

    Posted on August 8, 2013

    Jake Harris on how dead accounts and spambots can mess with your Twitter data mojo

12. 

    The Perils of Polling Twitter

    Jake Harris on just a few of the myriad reasons why using tweets as data is less-than-ideal

    Posted on July 18, 2013

    Jake Harris on just a few of the myriad reasons why using tweets as data is less than ideal.

13. 

    Strongbox Reactions, Part II

    Jacob Harris, Jonathan Stray, and Mike Tigas weigh in

    Posted on May 16, 2013

    We asked for your thoughts on Strongbox, the New Yorker’s new implementation of DeadDrop. Our first wave of responses includes the New York Times’ Jacob Harris, the Overview Project’s Jonathan Stray, and Mike Tigas, OpenNews Fellow at ProPublica.

14. 

    How the Data Sausage Gets Made

    Jacob Harris on Turning Freeform Text into Journalism

    Posted on March 28, 2013

    Jacob Harris explains the perils of making government food safety data usable for journalistic research.

15. 

    The New York Times’ Election Results Loader

    Jacob Harris explains how it was made, tuned and tested

    Posted on November 29, 2012

    Jacob Harris breaks down the data, the code choices, and the rationales behind the NYT’s results loader for the US 2012 elections.