Presentation 2011-06-06
Classification of users' attitudes toward rumors on microblogs
Tomohide FUJIKAWA, Nobuhiro KAJI, Naoki YOSHINAGA, Masaru KITSUREGAWA,
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Abstract(in English) In these days, information spread on microblogs (e.g., Twitter) includes tons of (false) rumors. This motivates us to quickly detect such rumors to let people know their unreliability. In this study, we analyze users' attitudes toward such rumors to help people understand the rumors. We classify the responses to the information according to two criteria: 1) doubting or believing the information 2) with or without grounds. We trained two SVM classifiers to solve these two text classification task, using the gold-standard data that is manually built from Twitter.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Text Analysis / Information Credibility / Data Mining / Twitter
Paper # DE2011-10,PRMU2011-41
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Committee DE
Conference Date 2011/5/30(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classification of users' attitudes toward rumors on microblogs
Sub Title (in English)
Keyword(1) Text Analysis
Keyword(2) Information Credibility
Keyword(3) Data Mining
Keyword(4) Twitter
1st Author's Name Tomohide FUJIKAWA
1st Author's Affiliation Graduate School of Information Science and Technology with a major in Information and Communication Engineering, The University of Tokyo()
2nd Author's Name Nobuhiro KAJI
2nd Author's Affiliation IIS. The University of Tokyo
3rd Author's Name Naoki YOSHINAGA
3rd Author's Affiliation IIS. The University of Tokyo
4th Author's Name Masaru KITSUREGAWA
4th Author's Affiliation IIS. The University of Tokyo
Date 2011-06-06
Paper # DE2011-10,PRMU2011-41
Volume (vol) vol.111
Number (no) 76
Page pp.pp.-
#Pages 6
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