The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
OpinionFinder: a system for subjectivity analysis
HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
@spam: the underground on 140 characters or less
Proceedings of the 17th ACM conference on Computer and communications security
Truthy: mapping the spread of astroturf in microblog streams
Proceedings of the 20th international conference companion on World wide web
Twitinfo: aggregating and visualizing microblogs for event exploration
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Truthy: enabling the study of online social networks
Proceedings of the 2013 conference on Computer supported cooperative work companion
| Hi-index | 0.00 |
The broad adoption of online social networking platforms has made it possible to study communication networks at an unprecedented scale. With social media and micro-blogging platforms such as Twitter, we can observe high-volume data streams of online discourse. However, it is a challenge to collect, manage, analyze, visualize, and deliver large amounts of data, even by experts in the computational sciences. In this paper, we describe our recent extensions to Truthy, a social media observatory that collects and analyzes discourse on Twitter dating from August 2010. We introduce several interactive visualizations and analytical tools with the goal of enabling researchers to study online social networks with mixed methods at multiple scales. We present design considerations and a prototype for integrating social media observatories as important components of a web observatory framework.