Retweeting beyond expectation: Inferring interestingness in Twitter
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- 作者：William M. Webberley ; WebberleyWM@cardiff.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Stuart M. Allen AllenSM@cardiff.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Roger M. Whitaker WhitakerRM@cardiff.ac.uk" class="auth_mail" title="E-mail the corresponding author
- 关键词：Twitter ; Interestingness ; Retweet
- 刊名：Computer Communications
- 出版年：2016
- 出版时间：1 January 2016
- 年：2016
- 卷：73
- 期：part_PB
- 页码：229-235
- 全文大小：503 K
文摘
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Twitter information streams present a lot of unfiltered noisy information.
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The cognitive burden on users viewing these streams is increased.
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We propose a method for identifying and ranking interesting information.
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We implement the method by applying it to Twitter timelines.
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Our crowdsourced validations give confidence that the approach is effective.