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  • 标题:Spam mail Detection using Classification and Machine Learning Techniques
  • 本地全文:下载
  • 作者:M Kirubha ; S Gowthami ; M Mohana
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:3
  • 页码:444-451
  • DOI:10.35629/5252-0303272286
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Fake news detection is the huge task of detecting forms of news consisting of deliberate fake information or hoaxes spread through social media or traditional news media. With the widespread effects of the fast dissemination of faux news, efforts are made to automate the method of faux news detection. Due to the exponential growth of information online, it is impossible to identify the true from the false. In this project, we'll specialize in the “fact” and indirectly on the “truth” which is somehow associated with the emotion and private belief within the age of “post-truth”. The three interactive functions of social media - tracking, sharing and creating - empower users to keep abreast of popular information, to repost any news (e.g., special reports, news videos, latest research, etc.), to express subjectively determined facts, and to even host the live broadcast. Through the tracking, sharing and creation interaction among a large user base, social media has been able to shape the major civic activities.
  • 关键词:Fake news;SVM;Social media
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