From now until 5:00 PM EST April 30, 2017 we are offering a 30% discount on historical Twitter data access using Sifter. The discount will be applied directly to your estimate. We have made some other changes to simplify the process of generating estimates.
We are pleased to announce the winners of the Fake News Detection Student Data Challenge:
First Place: UnderDogz
Second Place: CPO
Third Place: ULV Social
We want to thank everyone who participated. There is still a lot of work to be done in this area and we hope to involve more students in this sort of basic social data research over time.
Here are the submissions for our Fake News Detection student data challenge. We will announce the winners soon!
https://t.co/bkLGRbb1Ge #fakenewsdetection
— Sasha Chavez (@sashmchvz) April 2, 2017
We used Discovertext to identify the nature and scope of fake news. Check out what we found! https://t.co/t2rqVtrJTT #fakenewsdetection
— Joseph Heide (@Joseph_Heide) March 18, 2017
A model to describe the relationship between fake news and debunking practices @discovertext #fakenewsdetection https://t.co/DYevsXjvSr
— Alessio De Colle (@aldecolle) April 1, 2017
DiscoverText-Fake News Detection Challenge 2017https://t.co/eloYVwm26S #fakenewsdetection @StuartWShulman
— FONG WENG SHAO (@wengshao) April 1, 2017
