Hoax News Detection on Social Media: A Survey

Priati Assiroj, Meyliana, Achmad Nizar Hidayanto, Harjanto Prabowo, Harco Leslie Hendric Spits Warnars

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication1st 2018 Indonesian Association for Pattern Recognition International Conference, INAPR 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages186-191
Number of pages6
ISBN (Electronic)9781538694220
DOIs
Publication statusPublished - 25 Jan 2019
Event1st Indonesian Association for Pattern Recognition International Conference, INAPR 2018 - Jakarta, Indonesia
Duration: 7 Sep 20188 Sep 2018

Publication series

Name1st 2018 Indonesian Association for Pattern Recognition International Conference, INAPR 2018 - Proceedings

Conference

Conference1st Indonesian Association for Pattern Recognition International Conference, INAPR 2018
CountryIndonesia
CityJakarta
Period7/09/188/09/18

Keywords

  • classification
  • hoax news
  • social media
  • Support Vector Machine
  • twitter

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