Polarity Analysis of Editorial Articles towards Fake News Detection
关键词:
摘要: The need in verifying online information is essential to identify the lines between fake news and factual information. Social media has become platform for digital production of articles. It can be found from various sources -- blogs social networking sites, or even forums. This indicates how potentially influence overall opinion masses. study aims create a model that categorizes editorial articles use different classifier determine its polarity through sentiment analysis. step first taken order detect against real data mining. In this study, known websites were extracted develop model. researcher demonstrate analyzed showed effective results performance classifiers used study.
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sci-hub.se 参考文章(29)
Diego Saez-Trumper, Carlos Castillo, Mounia Lalmas, Social media news communities: gatekeeping, coverage, and statement bias conference on information and knowledge management. pp. 1679- 1684 ,(2013) , 10.1145/2505515.2505623
Deni Elliott, Charles Culver, Defining and Analyzing Journalistic Deception Journal of Mass Media Ethics. ,vol. 7, pp. 69- 84 ,(1992) , 10.1207/S15327728JMME0702_1
Walaa Medhat, Ahmed Hassan, Hoda Korashy, Sentiment analysis algorithms and applications: A survey Ain Shams Engineering Journal. ,vol. 5, pp. 1093- 1113 ,(2014) , 10.1016/J.ASEJ.2014.04.011
Amos Tversky, Daniel Kahneman, Advances in prospect theory: cumulative representation of uncertainty Journal of Risk and Uncertainty. ,vol. 5, pp. 297- 323 ,(1992) , 10.1007/BF00122574
Nick Couldry, Joseph Turow, Advertising, Big Data, and the Clearance of the Public Realm: Marketers' New Approaches to the Content Subsidy International Journal of Communication. ,vol. 8, pp. 1710- ,(2014)
Asha S Manek, P Deepa Shenoy, M Chandra Mohan, Venugopal K R, Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier World Wide Web. ,vol. 20, pp. 135- 154 ,(2017) , 10.1007/S11280-015-0381-X
Yimin Chen, Nadia K. Conroy, Victoria L. Rubin, News in an online world: the need for an automatic crap detector association for information science and technology. ,vol. 52, pp. 81- ,(2015) , 10.1002/PRA2.2015.145052010081
Nadia K. Conroy, Victoria L. Rubin, Yimin Chen, Automatic deception detection: methods for finding fake news association for information science and technology. ,vol. 52, pp. 82- ,(2015) , 10.1002/PRA2.2015.145052010082
Jiebo Luo, Juan Cao, Zhiwei Jin, Yongdong Zhang, News verification by exploiting conflicting social viewpoints in microblogs national conference on artificial intelligence. pp. 2972- 2978 ,(2016)
Alessandro Bessi, Emilio Ferrara, Social bots distort the 2016 U.S. Presidential election online discussion First Monday. ,vol. 21, ,(2016) , 10.5210/FM.V21I11.7090