ANALISIS PESAN KONTEN HOAKS #PEMILU2024 PADA MEDIA SOSIAL TIKTOK

Charisma Dina Wulandari, . (2024) ANALISIS PESAN KONTEN HOAKS #PEMILU2024 PADA MEDIA SOSIAL TIKTOK. Tesis thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

The hashtag #Pemilu2024 on TikTok has garnered 624 posts and 121,428 likes, reflecting the high public enthusiasm for the election while also being accompanied by the spread of hoaxes that influence public opinion. According to Kominfo data, since January 2022, 117 hoax issues related to the election have been identified through the Automated Identification System (AIS). This study employs a mixed methods approach with a sequential exploratory design, combining Naïve Bayes for sentiment analysis and communication network analysis using Gephi. Data was collected through web scraping (January–June 2023), yielding 600 comments, with 57.24% positive, 30.68% negative, and 12.08% neutral sentiments, achieving a model accuracy of 87.37%. The findings reveal that hoaxes spread within thematic clusters, with keywords such as "Prabowo," "salary," and "village funds" as discourse centers. The main themes include presidential candidates, finance, ideology, food, and education. Prabowo emerged as the most dominant topic, frequently associated with unverified policy claims and campaign promises. Hoaxes in the financial theme often manipulate issues related to civil servant salaries, allowances, and subsidies, influencing public opinion regarding social welfare policies. Hoaxes do not spread randomly but follow group-based communication patterns. Therefore, mitigation strategies should focus on strengthening digital literacy, rather than merely removing hoax content. Understanding hoax dissemination patterns and public sentiment dynamics is expected to serve as a reference for digital communication policies and effective mitigation strategies during the 2024 election.

Item Type: Thesis (Tesis)
Additional Information: [No. Panggil: 2210422002] [Pembimbing: Munadhil Abdul Muqsith] [Penguji 1: Drina Intyaswati] [Penguji 2: Priyono Sadjijo] [Penguji 3: Radita Gora Tayibnapis]
Uncontrolled Keywords: Sentiment Analysis, Hoax, Naïve Bayes, 2024 Election, TikTok.
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Fakultas Ilmu Sosial dan Ilmu Politik > Program Studi Ilmu Komunikasi (S2)
Depositing User: CHARISMA DINA WULANDARI
Date Deposited: 10 Feb 2025 01:08
Last Modified: 24 Feb 2025 07:44
URI: http://repository.upnvj.ac.id/id/eprint/36027

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