Difference between revisions of "Park et al CSCW 2011. The Politics of Comments: Predicting Political Orientation of News Stories with Commenters’ Sentiment Patterns"
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== Summary == | == Summary == | ||
| − | This [[Category::Paper]] tries to predict the political orientation of news articles by analyzing the sentiment patterns of commenters. It is difficult to interpret the political orientation of a news article by computation analysis of the text or metadata since they cover complex political discourse such as party, government, economy etc. | + | This [[Category::Paper]] tries to predict the political orientation of news articles by analyzing the sentiment patterns of commenters. It is difficult to interpret the political orientation of a news article by computation analysis of the text or metadata since they cover complex political discourse such as party, government, economy etc. However there exists commenters with clear political views and they are most likely to present the same views consistently towards various political issues. By identifying predictive commenters (who show a high degree of regularity in their sentiment patterns) and analyzing their sentiments of comments the political orientation of the news article is deduced. |
Revision as of 18:32, 1 October 2012
Citation
Souneil Park, Minsam Ko, Jungwoo Kim, Ying Liu, and Junehwa Song.“The Politics of Comments: Predicting Political Orientation of News Stories with Commenters’ Sentiment Patterns”, in Proceedings of the 2011 ACM Conference on Computer Supported Cooperative Work (CSCW 2011).
Online Version
Summary
This Paper tries to predict the political orientation of news articles by analyzing the sentiment patterns of commenters. It is difficult to interpret the political orientation of a news article by computation analysis of the text or metadata since they cover complex political discourse such as party, government, economy etc. However there exists commenters with clear political views and they are most likely to present the same views consistently towards various political issues. By identifying predictive commenters (who show a high degree of regularity in their sentiment patterns) and analyzing their sentiments of comments the political orientation of the news article is deduced.
