Abstract:In the era of artificial intelligence (AI), the rise of pornographic deepfakes poses a serious threat to human dignity, privacy, and social stability. This phenomenon exploits deep learning technology to manipulate individuals’…
iduals’ faces into non-consensual pornographic content, often targeting women and public figures. This paper examines the ethics of Ibn Miskawayh, a 10th-century Muslim philosopher, specifically the concept of hifz al-nasl (preservation of lineage) as one of the five maqasid al-shari’a (Islamic principles), to address this issue. Hifz al-nasl emphasizes the protection of human lineage, including family honor, women’s dignity, and social integrity, which are relevant to the psychological damage, trauma, and moral degradation caused by deepfakes. Through an analysis of the texts Tahdhib al-Akhlaq and Al-Fauz al-Asghar, this concept is outlined as a preventive and curative principle: prevention through strengthening individual morals and regulating technology, and treatment through restorative justice. Ibn Miskawayh combines Aristotelian philosophy with Islam, making hifz al-nasl a collective obligation to maintain the balance of the soul (nafs) and society. Its applications to deepfakes include: (1) ethical use of AI based on piety and ‘adl; (2) legal regulations that protect privacy as an extension of preserving lineage; and (3) moral education to build digital resilience. This study concludes that Ibn Miskawaih’s approach offers a holistic framework, integrating spiritual, ethical, and legal dimensions, that is more adaptive than technological solutions alone. Recommendations include the development of contemporary fatwas and ethical AI platforms for the digital age.
Abstract:The objective of this study was to examine how deepfake-based humor becomes socially acceptable despite its potential to function as digital harassment. This study focused on psychological mechanisms that explain audience…
e tolerance and normalization of harmful, identity-based humorous content in online environments. This study used a scoping review design to map and synthesize existing research across psychology, media studies, and cyberpsychology. The sources were identified through searches in major academic databases and were selected based on their relevance to deepfake technology, digital humor, online harassment, and psychological processes such as moral disengagement, online disinhibition, empathy reduction, and social norm reinforcement. The results indicate that acceptance of deepfake-based humor is commonly supported by four interrelated mechanisms, namely normalization through participatory digital culture, psychological distancing that weakens empathy, moral ambiguity created by humorous framing, and reduced accountability through diffusion of responsibility in online spaces. In addition, the literature conceptualizes deepfake humor as a hybrid phenomenon situated between remix-based entertainment and identity-targeting harm, shaped by platform visibility and engagement dynamics. This review highlights that deepfake-based humor may be tolerated not because it is harmless, but because it is routinely framed as “just a joke,” making its harm easier to minimize and socially overlook. Therefore, this study emphasizes the need for more direct empirical research and stronger interventions to prevent deepfake-based humor from becoming a normalized form of digital harassment in increasingly synthetic digital environments.
Abstract:The development of artificial intelligence (AI) technology has serious implications for the criminal justice system in Indonesia. The emergence of new forms of crime such as cyber laundering, deepfakes, and digital data…
manipulation raises questions about who should be held accountable. This study aims to examine the main challenges in applying criminal law to AI-based entities and offer normative and practical solutions to ensure legal certainty. By using a normative juridical approach and a literature review of Indonesian positive legal regulations and doctrines, this study is expected to contribute to the formation of a ius constituendum that is adaptive to the digital era. The results of the study demonstrate the urgency of reforming national criminal law to accommodate the legal status and responsibilities of AI in the Indonesian justice system.
Abstract:This research investigates the challenge posed by the perceived lack of assertiveness among pastors in disciplining members of the congregation amidst the proliferation of fake news or hoaxes. It delves into the multifaceted…
eted roles of pastors within the church context, the nuanced concept of discipline as it pertains to congregational dynamics, and the pervasive phenomenon of hoaxes in contemporary society. Emphasizing the critical importance of pastors taking proactive measures to address and counteract the dissemination of hoaxes to safeguard the integrity and unity of the church community, this paper employs a comprehensive descriptive research methodology. Through an in-depth exploration of the characteristics and implications of hoaxes, the functions and responsibilities of pastors, and the significance of discipline within the ecclesiastical setting, this study aims to provide valuable insights into the complexities of managing misinformation within religious communities. By synthesizing theoretical frameworks and empirical observations, the paper offers actionable recommendations for pastors to effectively combat hoaxes while fostering an environment of truth, trust, and integrity within the church.
Abstract:The aim of this research is to determine the use of technology in the cyber world as stated in this literary work. The literary work used the novel genre entitled Fake Semu by Ele Fountain. The problem raised is about the…
e cyber world in the novel. The novel Fake Semu by Ele Fountain is a novel with a theme about the cyber world. This novel explains the plot where technology becomes the only friend in the world. In this novel, Ele tells the story of a world where all needs for food, health, access to digital transactions are fully controlled by technology. Because of this, Ele began to tell about someone who was curious about the digital world and used various forbidden skills in the cyber world to get all the answers to his questions. The method used uses a hermeneutic approach. The findings obtained in the novel are 1) Database, 2) Hacking, 3) Encryption, 4) Spyware, 5) Cypher, and 6) Cyber Minder.
Abstract:Abstract: Since information and communication technology has become ingrained in our daily lives, it has become easier to access information. However, there are some concerns. One of them is about fake news. The aim of this…
his study is to develop an Indonesian system for detecting false news by utilizing news headlines. The methods used are linear kernel support vector ma- chine and n-gram. According to the findings of the performance test that was carried out, the linear kernel support vector machine model employing the term frequency inverse document frequency unigram feature performs better than utilizing bigram. The precision value generated from the model performance test is 1.00. This means that the degree of accuracy in matching the requested information regarding fake news detection with the answers provided by the system is very good. Then the recall value generated is 0.99. This means the linear kernel support vector machine model using unigram news features is very effective for detecting fake news according to the text classification approach.
Keywords: classification; fake news; n-gram; support vector machine
Abstrak: Dengan adanya integrasi teknologi informasi dan komunikasi dalam kehidupan mem- buat kemudahan dalam mengakses informasi. Walaupun demikian, terdapat kekhawatiran akan beberapa hal. Salah satu di antaranya adalah berita palsu. Tujuan penelitian ini adalah merancang sistem deteksi berita palsu berbahasa Indonesia berdasarkan judul berita. Metode yang digunakan adalah Support Vector Machine kernel linier dan n-gram. Berdasarkan hasil uji performa, model Support Vector Machine kernel linier yang menggunakan fitur term frequency inverse document frequency unigram menunjukkan kinerja yang lebih baik dibandingkan bi- gram. Nilai precision yang dihasilkan dari uji performa model sebesar 1,00. Ini berarti derajat akurasi dalam mencocokkan informasi yang diminta mengenai deteksi berita palsu dengan ja- waban yang diberikan oleh sistem sangat baik. Kemudian nilai recall yang dihasilkan sebesar 0,99. Ini berarti model Support Vector Machine kernel linier dengan menggunakan fitur berita unigram sangat efektif untuk mendeteksi berita palsu menurut pendekatan teks klasifikasi.
Kata kunci: klasifikasi; berita palsu; n-gram; support vector machine
Abstract:Penyebaran informasi palsu (hoaks dan fake news) di media sosial merupakan tantangan serius terhadap integritas informasi publik di Indonesia. Penelitian ini bertujuan untuk menganalisis tren, volume, dan pola diseminasi…
hoaks berdasarkan data verifikasi yang dikumpulkan melalui web scraping dari situs fact-checker lokal selama periode Januari hingga Agustus 2025. Hasil analisis data menunjukkan bahwa volume hoaks didominasi secara signifikan oleh dua kategori: Disinformasi Faktual dan Klaim Meragukan. Analisis kontribusi platform menunjukkan bahwa Facebook dan Instagram menjadi saluran utama penyebaran di kedua kategori tersebut. Temuan ini memberikan wawasan penting bagi stakeholder dan platform media sosial untuk merumuskan strategi mitigasi yang tersegmentasi dan ditargetkan
Abstract:Tujuan utama dari penelitian ini adalah Untuk mengetahui bagaimana pengaturan hulum pidana di Indonesia terkait penyebaran hoaks berbasis kecerdasan buatan dalam UU ITE dan bagaimana dampak penyebaran hoaks berbasis kecerdasan…
cerdasan buatan terhadap individu dan stabilitas negara dalam perspektif hukum pidana. Penelitian ini menggunakan metode penelitian hukum normatif Hasil penelitian ini menunjukan bahwa Pengaturan hukum pidana di Indonesia terhadap penyebaran hoaks berbasis kecerdasan buatan masih bergantung pada ketentuan umum KUHP, KUHP Baru, dan UU ITE, khususnya Pasal 28 ayat (1) dan (2), namun belum mengatur secara tegas pertanggungjawaban pidana atas konten hoaks yang dihasilkan melalui teknologi seperti deepfake atau voice cloning, sehingga menimbulkan kekosongan hukum dalam penjatuhan sanksi. Hoaks berbasis AI berdampak luas terhadap individu, seperti gangguan psikologis dan kerusakan reputasi, serta terhadap negara melalui ancaman pada keamanan nasional dan kepercayaan publik. Oleh karena itu, diperlukan pembaruan peraturan yang secara eksplisit mengatur unsur dan bentuk pertanggungjawaban pidana atas hoaks berbasis AI. Pemerintah juga perlu memperkuat upaya pencegahan dan perlindungan dengan meningkatkan literasi digital, pengawasan konten berbasis AI, serta memberikan pemulihan hukum bagi korban untuk menjaga stabilitas sosial dan keamanan nasional.