13 citations · 13 across the 2 of their papers we have counts for
3 papers
A Weakly Supervised Approach for Classifying Stance in Twitter Replies
Sumeet Kumar, Ramon Villa Cox, Matthew Babcock +1
Conversations on social media (SM) are increasingly being used to investigate social issues on the web, such as online harassment and rumor spread. For such issues, a common thread…
Polarizing Tweets on Climate Change
Aman Tyagi, Matthew Babcock, Kathleen M. Carley +1
We introduce a framework to analyze the conversation between two competing groups of Twitter users, one who believe in the anthropogenic causes of climate change (Believers) and a…
Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations
Ramon Villa-Cox, Sumeet Kumar, Matthew Babcock +1
Automated ways to extract stance (denying vs. supporting opinions) from conversations on social media are essential to advance opinion mining research. Recently, there is a renewed…