The Wisdom of Crowds
The political blogosphere and the 2004 U.S. election: divided they blog
Proceedings of the 3rd international workshop on Link discovery
Exploring the characteristics of opinion expressions for political opinion classification
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Social Science Computer Review
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Political Blogs and Blogrolls in Canada
Social Science Computer Review
Twitter power: Tweets as electronic word of mouth
Journal of the American Society for Information Science and Technology
Learning for microblogs with distant supervision: political forecasting with Twitter
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
What's congress doing on twitter?
Proceedings of the 2013 conference on Computer supported cooperative work
More than words: Social networks' text mining for consumer brand sentiments
Expert Systems with Applications: An International Journal
Computers in Human Behavior
Identifying purpose behind electoral tweets
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining
Tweets and votes, a special relationship: the 2009 federal election in germany
Proceedings of the 2nd workshop on Politics, elections and data
Multi-cycle forecasting of congressional elections with social media
Proceedings of the 2nd workshop on Politics, elections and data
Social Science Computer Review
Live-Tweeting a Presidential Primary Debate: Exploring New Political Conversations
Social Science Computer Review
Social Science Computer Review
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This study investigates whether microblogging messages on Twitter validly mirror the political landscape off-line and can be used to predict election results. In the context of the 2009 German federal election, we conducted a sentiment analysis of over 100,000 messages containing a reference to either a political party or a politician. Our results show that Twitter is used extensively for political deliberation and that the mere number of party mentions accurately reflects the election result. The tweets' sentiment (e.g., positive and negative emotions associated with a politician) corresponds closely to voters' political preferences. In addition, party sentiment profiles reflect the similarity of political positions between parties. We derive suggestions for further research and discuss the use of microblogging services to aggregate dispersed information.