Evaluating credibility of interest reflection on Twitter
作者： Hao Han , Hidekazu Nakawatase , Keizo Oyama
DOI: 10.1108/IJWIS-04-2014-0019
关键词: Similarity (psychology) 、 Social phenomenon 、 Credibility 、 Reflection (computer programming) 、 Context (language use) 、 Social network 、 Computer science 、 Web page 、 Originality 、 World Wide Web
摘要: Purpose – The purpose of this article was to confirm whether users’ interests are reflected by tweeted Web pages, and evaluate the credibility interest reflection pages. Design/methodology/approach Interest Twitter is investigated based on context sharing behavior. A context-oriented approach proposed pages machine learning. Some different distribution models similarity present, infer reflect respective analyzing user access profiles. Findings analysis browsing behaviors finds that many users partially hide their own concerns, hobbies interests, emphasize concerns about social phenomenon. extensive experimental results showed effective real net view data. Originality/value As first-of-its-kind study evaluating Twitter, exper...
sci-hub.se 参考文章(35)
Feng Xiao, Tomoya Noro, Takehiro Tokuda, News-Topic oriented hashtag recommendation in twitter based on characteristic co-occurrence word detection international conference on web engineering. pp. 16- 30 ,(2012) , 10.1007/978-3-642-31753-8_2
Joanne M. Garrett, Anthony J. Viera, Understanding interobserver agreement: the kappa statistic. Family Medicine. ,vol. 37, pp. 360- 363 ,(2005)
Ho Chung Wu, Robert Wing Pong Luk, Kam Fai Wong, Kui Lam Kwok, None, Interpreting TF-IDF term weights as making relevance decisions ACM Transactions on Information Systems. ,vol. 26, pp. 13- ,(2008) , 10.1145/1361684.1361686
Eytan Bakshy, Jake M. Hofman, Winter A. Mason, Duncan J. Watts, Everyone's an influencer: quantifying influence on twitter web search and data mining. pp. 65- 74 ,(2011) , 10.1145/1935826.1935845
Zi Chu, Steven Gianvecchio, Haining Wang, Sushil Jajodia, Who is tweeting on Twitter: human, bot, or cyborg? annual computer security applications conference. pp. 21- 30 ,(2010) , 10.1145/1920261.1920265
Mario Cataldi, Luigi Di Caro, Claudio Schifanella, Emerging topic detection on Twitter based on temporal and social terms evaluation Proceedings of the Tenth International Workshop on Multimedia Data Mining. pp. 4- ,(2010) , 10.1145/1814245.1814249
Gianmarco De Francisci Morales, Aristides Gionis, Claudio Lucchese, From chatter to headlines Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12. pp. 153- 162 ,(2012) , 10.1145/2124295.2124315
Dae-Won Kim, KiYoung Lee, Doheon Lee, Kwang H. Lee, Rapid and brief communication: A k-populations algorithm for clustering categorical data Pattern Recognition. ,vol. 38, pp. 1131- 1134 ,(2005) , 10.1016/J.PATCOG.2004.11.017
Yoichi Shinoda, Masahiro Morita, Information filtering based on user behavior analysis and best match text retrieval international acm sigir conference on research and development in information retrieval. pp. 272- 281 ,(1994) , 10.5555/188490.188583
Hao Han, Hidekazu Nakawatase, Keizo Oyama, An Exploratory Analysis of Browsing Behavior of Web News on Twitter social informatics. pp. 86- 95 ,(2012) , 10.1109/SOCIALINFORMATICS.2012.41