中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Text-mining-based Fake News Detection Using Ensemble Methods

文献类型:期刊论文

作者Harita Reddy; Namratha Raj; Manali Gala; Annappa Basava
刊名International Journal of Automation and Computing
出版日期2020
卷号17期号:2页码:210-221
关键词Fake news social media stylometric features word vectors ensemble methods.
ISSN号1476-8186
DOI10.1007/s11633-019-1216-5
英文摘要Social media is a platform to express one′s views and opinions freely and has made communication easier than it was before. This also opens up an opportunity for people to spread fake news intentionally. The ease of access to a variety of news sources on the web also brings the problem of people being exposed to fake news and possibly believing such news. This makes it important for us to detect and flag such content on social media. With the current rate of news generated on social media, it is difficult to differentiate between genuine news and hoaxes without knowing the source of the news. This paper discusses approaches to detection of fake news using only the features of the text of the news, without using any other related metadata. We observe that a combination of stylometric features and text-based word vector representations through ensemble methods can predict fake news with an accuracy of up to 95.49%.
源URL[http://ir.ia.ac.cn/handle/173211/42297]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Department of Computer Science and Engineering, National Institute of Technology Karnataka, Mangalore 575025, India
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GB/T 7714
Harita Reddy,Namratha Raj,Manali Gala,et al. Text-mining-based Fake News Detection Using Ensemble Methods[J]. International Journal of Automation and Computing,2020,17(2):210-221.
APA Harita Reddy,Namratha Raj,Manali Gala,&Annappa Basava.(2020).Text-mining-based Fake News Detection Using Ensemble Methods.International Journal of Automation and Computing,17(2),210-221.
MLA Harita Reddy,et al."Text-mining-based Fake News Detection Using Ensemble Methods".International Journal of Automation and Computing 17.2(2020):210-221.

入库方式: OAI收割

来源:自动化研究所

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