Published October 25, 2016, in Technology Presentation for the tech talk of the Product Studio class at Cornell Tech. Fall 2016 Cornell Tech Product Studio The New York Times (Community) --- FVCproductions https://fvcproductions.com

1. dispel
Community
Delia Casa
Frances Coronel
Chumeng Xu

2. How might we create
a safe place for people
of all backgrounds to
discuss important
local, national and
global issues?

3. Demographic Makeup of New York Times Commenters

4. “Over the last year The Times has watched readership fall
significantly . . . an extremely worrying sign on a growing platform”
Source: The New York Times Innovation Report - March 23, 2014

8. Reader’s View

9. Reader’s View

10. CommenterEditor
Q
A
&

11. Commenters
IBM Watson
Alchemy API
Prompt user to comment
with targeting questions
Automatically extract
key attributes from
article and generate
question stems
Self identify
user attributes
System Architecture 🔨
Commenting
Platform
Content
Management
System
Editor
Database of
User Attributes
Ad Targeting
Automated Social
Media Publishing
Better Article
Recommendations

12. IBM Watson
Alchemy API
APIs Out There 📖
Google Cloud Natural
Language API

17. Technically Challenging 😅
• using database to generate revenue
• lots of data points will have to be aware of each other
• user attributes must be associated with each article individually
• making sure relevant user attributes are automatically selected
• safe filtering (what if it’s an article on racist people?)

18. What’s next?
• code it out!