Proceedings of the thirteenth ACM international conference on Information and knowledge management
Presenting diverse political opinions: how and how much
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling topic specific credibility on twitter
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
The twitter mute button: a web filtering challenge
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Journal of the American Society for Information Science and Technology
Leveraging user modeling on the social web with linked data
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Mining web query logs to analyze political issues
Proceedings of the 3rd Annual ACM Web Science Conference
The role of emotional stability in Twitter conversations
Proceedings of the Workshop on Semantic Analysis in Social Media
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
What's in Twitter: I Know What Parties are Popular and Who You are Supporting Now!
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Predicting political preference of Twitter users
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Secular vs. Islamist polarization in Egypt on Twitter
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Identifying purpose behind electoral tweets
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Twitter-based user modeling for news recommendations
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data
Social Science Computer Review
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There is great interest in understanding media bias and political information seeking preferences. As many media outlets create online personas, we seek to automatically estimate the political preferences of their audience, rather than of the outlet itself. In this paper, we present a novel method for computing preference among an organization's Twitter followers. We present an application of this technique to estimate political preference of the audiences of U.S. media outlets. We also discuss how these results may be used and extended.