Using Machine Learning for News Verification

被引:0
作者
Rolong Agudelo, Gerardo Ernesto [1 ]
Salcedo Parra, Octavio Jose [1 ,2 ]
Medina, Javier [3 ]
机构
[1] Univ Distrital Francisco Jose de Caldas, Fac Engn, Bogota, Colombia
[2] Univ Nacl Colombia, Fac Engn, Dept Syst & Ind Engn, Bogota, Colombia
[3] Univ Distrital Francisco Jose de Caldas, Fac Engn, GEFEM Res Grp, Bogota, Colombia
来源
FUTURE DATA AND SECURITY ENGINEERING, FDSE 2018 | 2018年 / 11251卷
关键词
Fake news; Machine learning; NLTK; Sklearn;
D O I
10.1007/978-3-030-03192-3_19
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The news fakes are issued with the intention of misleading, manipulating personal decisions, discredit or exalt an institution, entity or person or obtain economic gains or political revenue. They are related to propaganda and post-truth. Fake news, by presenting falsehoods as if they were real, are considered a threat to the credibility of serious media and professional journalists. The dissemination of false news in order to influence the behavior of a community has antecedents since antiquity, but given that its scope is directly related to the means of reproduction of information specific to each historical stage, its area and speed of propagation was scarce in the historical stages prior to the appearance of the mass media.
引用
收藏
页码:251 / 257
页数:7
相关论文
共 8 条
  • [1] Deep learning for biological image classification
    Affonso, Carlos
    Debiaso Rossi, Andre Luis
    Antunes Vieira, Fabio Henrique
    de Leon Ferreira de Carvalho, Andre Carlos Ponce
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2017, 85 : 114 - 122
  • [2] [Anonymous], 2003, J IMMUNOL
  • [3] [Anonymous], POPE HAS NEW BABY FA
  • [4] [Anonymous], 2010, BLOOD
  • [5] [Anonymous], ACM SIGKDD EXPLORATI
  • [6] [Anonymous], 1989, ALLERGY
  • [7] Lazer D., 2017, Combating fake news: An agenda for research and action, V2
  • [8] Shao C., 2017, SPREAD FAKE NEWS SOC