Keepr is developing an algorithm for data mining breaking news using natural language processing and ad hoc network analysis to help journalists who are overworked, underpaid, and in need of big data tools to keep up with the speed of computers in processing information. Keepr aims to harmonize with journalism's workflow and values by extracting entities and discovering sources from social media to help report news stories faster while maintaining the human ability to make valuable judgements and tell compelling stories.

1. keepr
Algorithm for data mining breaking news
using NLP and ad hoc network analysis
Hong Qu @hqu
www.keepr.com
DataGotham
September 12, 2013

3. Twitter, Credibility and The Watertown Manhunt

4. Computational Journalism
News reporters are
● overworked
● underpaid
● …a dying breed
Journalism is
● slow
● embracing data
● in need of Big Data tools

5. Computers count
really, really fast!

7. Humans are way better at
at making value judgements
and telling stories

8. Andy Carvin - “a one-man Twitter news bureau”

9. Social media and the Boston bombings: When citizens and journalists cover the same story

10. Keepr harmonizes
with journalism’s workflow and values

11. Entity extraction and Source discovery
http://keepr.com/index.php?q=datagotham

13. What’s next for keepr?
➔ refine algorithm
➔ ad hoc conversation network analysis
➔ source classification
➔ speed, speed, speed
Rolling out a Beta program for newsrooms
Sign up at www.keepr.com/beta