Abstract
This paper introduces a simple method for estimating cultural orientation, the affiliation of online entities in a polarized field of discourse. In particular, cocitation information is used to estimate the political orientation of hypertext documents. A type of cultural orientation, the political orientation of a document is the degree to which it participates in traditionally left- or right-wing beliefs. Estimating documents' political orientation is of interest for personalized information retrieval and recommender systems. In its application to politics, the method uses a simple probabilistic model to estimate the strength of association between a document and left- and right-wing communities. The model estimates the likelihood of cocitation between a document of interest and a small number of documents of known orientation. The model is tested on three sets of data, 695 partisan web documents, 162 political weblogs, and 72 non-partisan documents. Accuracy above 90% is obtained from the cocitation model, outperforming lexically based classifiers at statistically significant levels.
Original language | English (US) |
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Pages | 390-398 |
Number of pages | 9 |
State | Published - 2004 |
Externally published | Yes |
Event | CIKM 2004: Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management - Washington, DC, United States Duration: Nov 8 2004 → Nov 13 2004 |
Other
Other | CIKM 2004: Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management |
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Country/Territory | United States |
City | Washington, DC |
Period | 11/8/04 → 11/13/04 |
Keywords
- Cocitation
- Cultural Orientation
- Opinion Mining
- PMI-IR
- Personalization
- Politics
ASJC Scopus subject areas
- General Business, Management and Accounting