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Diversionary comments under political blog posts
Abstract An important issue that has been neglectedAn important issue that has been neglected so far is the identification of diversionary comments. Diversionary comments under political blog posts are defined as comments that deliberately twist the bloggers' intention and divert the topic to another one. The purpose is to distract readers from the original topic and draw attention to a new topic. Given that political blogs have significant impact on the society, we believe it is imperative to identify such comments. We then categorize diversionary comments into 5 types, and propose an effective technique to rank comments in descending order of being diversionary. To the best of our knowledge, the problem of detecting diversionary comments has not been studied so far. Our evaluation on 2,109 comments under 20 different blog posts from Digg.com shows that the proposed method achieves the high mean average precision (MAP) of 92.6%. Sensitivity analysis indicates that the effectiveness of the method is stable under different parameter settings.stable under different parameter settings.
Abstractsub An important issue that has been neglectedAn important issue that has been neglected so far is the identification of diversionary comments. Diversionary comments under political blog posts are defined as comments that deliberately twist the bloggers' intention and divert the topic to another one. The purpose is to distract readers from the original topic and draw attention to a new topic. Given that political blogs have significant impact on the society, we believe it is imperative to identify such comments. We then categorize diversionary comments into 5 types, and propose an effective technique to rank comments in descending order of being diversionary. To the best of our knowledge, the problem of detecting diversionary comments has not been studied so far. Our evaluation on 2,109 comments under 20 different blog posts from Digg.com shows that the proposed method achieves the high mean average precision (MAP) of 92.6%. Sensitivity analysis indicates that the effectiveness of the method is stable under different parameter settings.stable under different parameter settings.
Bibtextype inproceedings  +
Doi 10.1145/2396761.2398518  +
Has author Wang J. + , Yu C.T. + , Yu P.S. + , Ben Liu + , Meng W. +
Has extra keyword Coreference resolution + , Diversionary comments + , Lda + , Spam + , Topic model + , Wikipedia + , Knowledge management + , Blogs +
Has keyword Coreference resolution + , Diversionary comments + , Extraction from wikipedia + , Lda + , Spam + , Topic model +
Isbn 9781450311564  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 1789–1793  +
Published in ACM International Conference Proceeding Series +
Title Diversionary comments under political blog posts +
Type conference paper  +
Year 2012 +
Creation dateThis property is a special property in this wiki. 7 November 2014 13:33:43  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 13:33:43  +
DateThis property is a special property in this wiki. 2012  +
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