Gotowe bibliografie tematyczne / Fufufafa

Spis treści

  1. Artykuły w czasopismach
  2. Książki
  3. Streszczenia konferencji

Gotowa bibliografia na temat „Fufufafa”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Fufufafa"

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Vinanda, Rufki Ade, and Raden Arditya Mutwara Lokita. "Influencer Politik dan Penggiringan Opini Publik Isu Fufufafa di Media Sosial X." Kinesik 11, no. 3 (2024): 366–82. https://doi.org/10.22487/ejk.v11i3.1599.

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Isu Fufufafa menjadi trending topik di media sosial X pada awal September lalu. Isu ini bermula dari temuan akun Kaskus yang diduga milik Wakil Presiden Indonesia, Gibran Rakabuming Raka. Fufufafa viral karena akun tersebut melontarkan hinaan kasar kepada Presiden Prabowo Subianto. Para influencer politik turut beropini atas kasus ini melalui X. Oleh karena itu, penulis fokus untuk mengetahui bagaimana influencer politik melalui media sosial X menggiring opini publik terkait Fufufafa. Metode analisis framing Robert N. Entman akan digunakan dengan menekankan pendefinisian masalah, penyebab masa
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Putra, Hendri Pitrio, Sairil Sairil, Asyrafunnisa Asyrafunnisa, and Nurul Khairani Abduh. "Framing analysis of Fufufafa's news in online media PikiranRakyat.com." Linguistics Initiative 5, no. 1 (2025): 25–37. https://doi.org/10.53696/27753719.51221.

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The emergence of the Fufufafa account in Indonesian politics has garnered significant public attention, sparking a range of opinions regarding its impact on political dynamics in social media. This study aims to analyze the framing of news coverage surrounding the Fufufafa account as reported by PikiranRakyat.com. Using a qualitative approach and framing analysis technique based on Robert M. Entman’s model, the research examines four key elements: problem definition, cause of the problem, moral judgment, and proposed solutions. The data for this study were derived from three articles published
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Rahadi, Arya Eka, Didi Permadi, and Sarwo Edy. "Analisis Wacana Kritis terhadap Pemberitaan Akun Fufufafa di Media Tempo.co." Jurnal Ilmu Sosial dan Ilmu Politik (JISIP) 14, no. 1 (2025): 126–54. https://doi.org/10.33366/jisip.v14i1.3292.

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The reporting of the “Fufufafa” account, which allegedly belongs to Gibran Rakabuming Raka, has become a viral issue on social media X and has received national attention. The news can shape public opinion among the community. This study aims to analyze the news of the “Fufufafa” account on the online media Tempo.co. This study uses the Qualitative Descriptive method with a critical discourse analysis approach outlined by Norman Fairclough. Data was collected using the literature review technique to select the micro element of “text analysis”, mezzo “news production and distribution process”,
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Asrudi, Asrudi, and Fahrica Rosalima. "TINDAKAN PENGHINAAN SEBAGAI ALASAN PEMAKZULAN WAKIL PRESIDEN TERPILIH PERSPEKTIF UUD 1945 DAN FIQH SIYASAH." al-Rasῑkh: Jurnal Hukum Islam 13, no. 2 (2024): 191–206. https://doi.org/10.38073/rasikh.v13i2.1859.

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One of the features of the presidential system is the process of presidential impeachment. The impeachment of the president is determined by a majority vote in the People's Consultative Assembly (MPR) proposed by members of the People's Representative Council (DPR) who have previously been tested in the Constitutional Court (MK) with reference to Article 7A of the 1945 Constitution as the reason for the impeachment of the President and/or Vice President. On the other hand, the elected Vice President for 2024 is indicated to have insulted several people over the ownership of the Fufufafa accoun
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Darusman, Darusman, and Windu Gata. "Perbandingan Kinerja Machine Learning dan Deep Learning untuk Analisis Sentimen Fufufafa." INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System 10, no. 1 (2025): 1. https://doi.org/10.51211/isbi.v10i1.3333.

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This study examines the performance comparison of various machine learning and deep learning models in sentiment analysis of the fufufafa phenomenon on Twitter. The models tested include Naive Bayes, Random Forest, Support Vector Machine, Logistic Regression, Decision Tree, and Long Short-Term Memory (LSTM). The study aims to evaluate the effectiveness of these models in classifying sentiment into positive, negative, and neutral categories. Experimental results show that the Decision Tree model achieved the highest accuracy of 96%, followed by LSTM with 95%. Other models, such as Random Forest
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Suryanto, Suryanto, and Widyastuti Andriyani. "Sentiment Analysis of X Platform on Viral 'Fufufafa' Account Issue in Indonesia Using SVM." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 19, no. 1 (2025): 95. https://doi.org/10.22146/ijccs.104158.

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In this study, we conducted a comprehensive sentiment analysis of users on the social media platform X concerning the viral controversy surrounding the KasKus account known as “Fufufafa.” This issue attracted widespread attention and sparked varied reactions within the online community. To gain insights into public opinion on the topic, we utilized the Support Vector Machine (SVM) method, a widely recognized machine learning algorithm for classification tasks. The data for this research was gathered from various posts, comments, and public discussions on platform X, which were pre-processed to
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Marpaung, Hery Wahyudi, and Hasan Sazali. "The Politics of Hate Speech Akun Fufufafa: Perspektif Etika Komunikasi dan Dampaknya Terhadap Kohesi Sosial." Jurnal Indonesia : Manajemen Informatika dan Komunikasi 6, no. 2 (2025): 1427–38. https://doi.org/10.63447/jimik.v6i2.1437.

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This study discusses the phenomenon of political hate speech carried out by anonymous accounts "fufufafa", focusing on the perspective of communication ethics and its impact on social cohesion. Through a qualitative approach and case study method, an analysis was carried out on the content of the account upload using a critical discourse framework. The results of the study show that hate speech conveyed is systematic, attacks the personal aspects of political figures, and is full of ideological content that emphasizes the moral dichotomy between "us" and "them." Communication strategies such a
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Amelia, Amanda, and Ridwan Yusuf. "ANALISIS SENTIMEN MASYARAKAT INDONESIA PADA PLATFROM X TERHADAP ISU FUFUFAFA MENGGUNAKAN BIDIRECTIONAL ENCODER REPRESENTATIONS FROM TRANSFORMERS." Jurnal Informatika Teknologi dan Sains (Jinteks) 7, no. 1 (2025): 72–80. https://doi.org/10.51401/jinteks.v7i1.5160.

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Media sosial, khususnya Twitter, telah menjadi platform utama untuk menyampaikan opini, berbagi informasi, dan mempengaruhi opini publik. Fenomena “Fufufafa” yang menjadi trending di Twitter mencerminkan tingginya perhatian masyarakat terhadap isu-isu yang terkait dengan ujaran kebencian dan perilaku toxic di dunia maya. Dengan 24,85 juta pengguna aktif di Indonesia pada tahun 2023, Twitter menjadi tempat yang signifikan untuk menganalisis sentimen masyarakat. Penelitian ini bertujuan untuk memahami persepsi publik terkait isu tersebut melalui analisis sentimen menggunakan metode VADER dan BER
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Simamora, Rani Marsela, Parlaungan Gabriel Siahaan, Novridah Reanti Purba, et al. "Pengaruh Anonimitas di Media Sosial terhadap Kebebasan Berpendapat dan Tanggung Jawab Hukum Studi Kasus: (Analisis Kasus Akun Fufufafa dalam Penyebaran Informasi Palsu dan Ujaran Kebencian di Media Sosial Twitter)." Jurnal Pengabdian Masyarakat dan Riset Pendidikan 3, no. 4 (2025): 4647–52. https://doi.org/10.31004/jerkin.v3i4.1050.

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Anonymity comes from the Greek word 'anonymia' which means 'without a name' which means unknown identity information, which can be used to identify objects in the form of humans or objects. This study examines the effect of anonymity on social media on freedom of speech and legal responsibility, with a case study of the "Fufu Fafa" account on Twitter. The research method used is a literature study of the content of the "Fufu Fafa" account. This study aims to understand how anonymity affects user behavior in expressing opinions and how legal responsibility is applied to anonymous accounts. The
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Cahyani, Silvy Indah, Alifia Farrasetiana, and Sarah Nurhalizah. "Analisis Privasi Digital dalam Kasus Akun Anonim 'Fufufafa': Antara Ekspresi Publik dan Penyalahgunaan Identitas." May 20, 2025. https://doi.org/10.5281/zenodo.15469458.

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The viral phenomenon on social media often involves a fine line between freedom of expression and privacy infringement. This study explores how intensive digital interactions contribute to the creation of viral content while simultaneously posing risks of violating individual privacy. Using a qualitative approach, this research analyzes viral cases that spark debates about privacy, including how audiences, content creators, and social media platforms contribute to shaping these dynamics. The account "Fufufafa," one of the viral content phenomena on platform X, exemplifies this dynamic. The fin
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Książki na temat "Fufufafa"

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Inōe, Hisashi. Fufufufu. Kōdansha, 2009.

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Streszczenia konferencji na temat "Fufufafa"

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Djaelani, Abdul Kadir, and Husni Thamrin. "A Comparative Analysis of Three Transformer Models for Twitter Sentiment: A Case Study of the ‘Fufufafa’ Account." In 2025 International Conference on Smart Computing, IoT and Machine Learning (SIML). IEEE, 2025. https://doi.org/10.1109/siml65326.2025.11080838.

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