TY - GEN
T1 - Hoax News Detection on Social Media
T2 - 1st Indonesian Association for Pattern Recognition International Conference, INAPR 2018
AU - Assiroj, Priati
AU - Meyliana,
AU - Hidayanto, Achmad N.
AU - Prabowo, Harjanto
AU - Warnars, Harco Leslie Hendric Spits
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Information and Communication Technology (ICT) is a tool to spread and share news effectively. Social media is an Information and Communication Technology product which is a trend of future communication styles, and communication is all about an activity to share the news. The news shared on social media are not always incredible resources, or on the other hand, we can say that most of them are a hoax. According to this condition, research would like to explore what kind of method approach to detect hoax news. This research uses a survey approach to papers published during 2016-2018. By doing this work, we can know the kind of algorithms used for a similar research topic. The most popular approach according to this work is the Classification using Support Vector Machine (SVM), and the most used social media platform is Twitter.
AB - Information and Communication Technology (ICT) is a tool to spread and share news effectively. Social media is an Information and Communication Technology product which is a trend of future communication styles, and communication is all about an activity to share the news. The news shared on social media are not always incredible resources, or on the other hand, we can say that most of them are a hoax. According to this condition, research would like to explore what kind of method approach to detect hoax news. This research uses a survey approach to papers published during 2016-2018. By doing this work, we can know the kind of algorithms used for a similar research topic. The most popular approach according to this work is the Classification using Support Vector Machine (SVM), and the most used social media platform is Twitter.
KW - Support Vector Machine
KW - classification
KW - hoax news
KW - social media
KW - twitter
UR - http://www.scopus.com/inward/record.url?scp=85062768072&partnerID=8YFLogxK
U2 - 10.1109/INAPR.2018.8627053
DO - 10.1109/INAPR.2018.8627053
M3 - Conference contribution
AN - SCOPUS:85062768072
T3 - 1st 2018 Indonesian Association for Pattern Recognition International Conference, INAPR 2018 - Proceedings
SP - 186
EP - 191
BT - 1st 2018 Indonesian Association for Pattern Recognition International Conference, INAPR 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 September 2018 through 8 September 2018
ER -