This document summarizes Cahyo Darujati's presentation on combating hoaxes on social media with information technology. The key points are:
1) Hoaxes spread most widely through social media, reaching 92.4% of people according to one study. Popular social media platforms for spreading hoaxes include Facebook, Twitter, Instagram, WhatsApp, and Telegram.
2) Artificial intelligence can be used to help detect and limit the spread of hoaxes, for example by classifying text and images to identify potentially false information.
3) Different techniques are discussed including machine learning, deep learning, supervised learning, and computer vision approaches for image detection.
Melawan penyebaran hoax di media sosial dengan teknologi
1. Melawan Penyebaran Hoax di
Media Sosial denganTeknologi
Informasi
Cahyo Darujati
FOCUS GROUP DISCUSSION
PENYUSUNAN KEBIJAKAN PENGENDALIAN INFORMASI
BADAN SIBER DAN SANDI NEGARA (BSSN)
Surabaya, 22 SEPTEMBER 2018
2. Tak Kenal,Tak Sayang
• Cahyo Darujati,WA: 08123.594969
• Praktisi: IT Pentester, Konsultan ISO 27001:2013
• Akademisi: Pengajar Digital Forensic di Fakultas Ilmu
Komputer, Universitas Narotama.
6. Penyebaran
• Hoax paling banyak diterima melalui media sosial yang
mencapai 92,4 persen.
• Media sosial yang dimaksud di sini termasuk Facebook,
Twitter, Instagram, Path, Line, WhatsApp, danTelegram.
• Riset yang dilakukan MasyarakatTelematika Indonesia
(Mastel) pada Februari 2017
https://kumparan.com/@kumparantech/media-sosial-jadi-saluran-favorit-penyebaran-hoax
14. AI v ML v DL
https://www.quora.com/What-are-the-main-differences-between-artificial-intelligence-and-machine-learning-Is-machine-learning-a-part-of-artificial-intelligence
18. KlasifikasiTeksTerpandu dengan
Pembelajaran Mesin (2012)
https://www.researchgate.net/profile/Cahyo_Darujati2/publication/303304818_PEMANFAATAN_TEKNIK_SUPERVISED_UNTUK_KLASIFI
KASI_TEKS_BAHASA_INDONESIA/links/573c16ea08aea45ee8406d84/PEMANFAATAN-TEKNIK-SUPERVISED-UNTUK-KLASIFIKASI-
TEKS-BAHASA-INDONESIA.pdf