UMM Institutional Repository

KECENDERUNGAN JENIS PESAN HOAX PADA MEDIA SOSIAL FACEBOOK DI INDONESIA (Analisis Isi Laporan Konten Hoax pada Web Kominfo Periode Januari 2019)

Lazuardi, Meidyo Gema (2019) KECENDERUNGAN JENIS PESAN HOAX PADA MEDIA SOSIAL FACEBOOK DI INDONESIA (Analisis Isi Laporan Konten Hoax pada Web Kominfo Periode Januari 2019). Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

[img]
Preview
Text
PENDAHULUAN.pdf

Download (1MB) | Preview
[img]
Preview
Text
BAB 1.pdf

Download (283kB) | Preview
[img]
Preview
Text
BAB 2.pdf

Download (235kB) | Preview
[img]
Preview
Text
BAB 3.pdf

Download (274kB) | Preview
[img]
Preview
Text
BAB 4.pdf

Download (172kB) | Preview
[img] Text
BAB 5.pdf
Restricted to Registered users only

Download (1MB) | Request a copy
[img] Text
BAB 6.pdf
Restricted to Registered users only

Download (129kB) | Request a copy
[img] Text
LAMPIRAN.pdf
Restricted to Registered users only

Download (16MB) | Request a copy

Abstract

This research is motivated by the increase in the number of hoaxes from year to year with the most spread through social media Facebook. Hoax is an enemy as well as a common goal to be reduced and even eliminated in Indonesia. Disunity, even death is one of the many impacts of the presence of a hoax. Hoax uses a lot of social media. The lack of public knowledge about the shape and spread of hoaxes, so that it can be easily in a fighting sheep. This study aims to determine how much the frequency of hoax messages and the tendency of hoax message types on Facebook social media in Indonesia based on an analysis conducted on the Ministry of Communication and Information web period January 2019. This research uses a quantitative approach with the method of analyzing the contents of text messages. Data collection is done by analyzing, namely the hoax content report data on the web of Kominfo in January 2019. The total number of hoax data is 104, which is spread through Facebook social media. In addition to images, what is examined is the caption, then categorized based on seven types of hoaxes that have been set, then its validity will be compared with the original article. The categorization is determined based on what was stated by First Draft, a non-profit organization that is also used as a reference for the Hasut Hoax Anti-Defamation Forum, which is supervised by the Ministry of Communication and Information in conducting an analysis. This study uses two coder to help the research process by filling in the Coding Sheet that has been made by the researcher and agreed between the coder. Coder used in this study is a person who works on media, social media, and understands and knows the movement of media and technology. This study was conducted two times, the first to find out how much the frequency of hoaxes appeared in January 2019 using the mean formula. The second calculation is to look for trends in the type of hoax messages that most often appear, by means of the results of the Coding Sheet that has been filled in and carried out a reliability and validity test using the Holsty formula whose results are entered and calculated with the Scott formula to strengthen. The results of the study mentioned the type of Fabricated Hoax is said to most often appear with a percentage of 34.61%. Through analysis, the involvement of this large percentage is supported by political issues that are rife in 2019. The emergence of hoaxes in January 2019 is said to be quite frequent with an average of 3 times a day, which according to the analysis is also more or less motivated by issues that are developing and increasingly sophisticated. technology.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201510040311098
Thesis Advisors: Novin Farid Styo Wibowo (0719118402), Budi Suprapto (0725056101)
Keywords: Trends, Hoaxes, Social Media, Facebook, Communication and Information
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HE Transportation and Communications
Divisions: Faculty of Social and Political Science > Department of Communication Science (70201)
Depositing User: 201510040311098
Date Deposited: 30 Oct 2019 06:16
Last Modified: 30 Oct 2019 06:16
URI : http://eprints.umm.ac.id/id/eprint/54397

Actions (login required)

View Item View Item
UMM Official

© 2008 UMM Library. All Rights Reserved.
Jl. Raya Tlogomas No 246 Malang East Java Indonesia - Phone +62341464318 ext. 150, 151 - Fax +62341464101
E-Mail : infopus[at]umm.ac.id - Website : http://lib.umm.ac.id - Online Catalog : http://laser.umm.ac.id - Repository : http://eprints.umm.ac.id

Web Analytics

UMM Institutional Repository is powered by :
EPrints Logo