Uncovering the dark Web: A case study of Jihad on the Web
Journal of the American Society for Information Science and Technology
Off the wall political discourse: Facebook use in the 2008 U.S. presidential election
Information Polity - Government 2.0: Making Connections between citizens, data and government
Sociology of Hyperlink Networks of Web 1.0, Web 2.0, and Twitter: A Case Study of South Korea
Social Science Computer Review
A Random Digit Search (RDS) Method for Sampling of Blogs and Other User-Generated Content
Social Science Computer Review
Networked Politics on Cyworld: The Text and Sentiment of Korean Political Profiles
Social Science Computer Review
ePart'11 Proceedings of the Third IFIP WG 8.5 international conference on Electronic participation
Can We Predict Political Poll Results by Using Blog Entries?
HICSS '12 Proceedings of the 2012 45th Hawaii International Conference on System Sciences
Journal of the American Society for Information Science and Technology
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By considering Korea's presidential election on December 19, 2012, this study examines how a presidential campaign can be measured using (negative) entropy indicators. We collected data from Google-indexed web documents, Twitter, and Facebook for four time periods. More specifically, we measured bilateral, trilateral, and quadruple relationships based on the number of web and social media mentions referring only to a candidate (this is, no mention of other candidates or the term "president"). The results indicate that Twitter tended to generate the highest entropy value across the three time periods but that President Geun-Hye Park outperformed the other candidates across all three periods on Google in terms of (negative) entropy indicators.