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Journal articles on the topic 'Pornographic classification'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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1

Mayasari, Candra Nur, M. Arief Soeleman, and Pujiono Pujiono. "Deteksi Pornografi pada Karakter Animasi 2D dengan KNN (K-Nearest Neighbors) Menggunakan Fitur HSV." COMSERVA Indonesian Jurnal of Community Services and Development 2, no. 08 (2022): 1236–50. http://dx.doi.org/10.59141/comserva.v2i08.462.

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The development of animation technology is very rapid, both in 2D and 3D forms. Most animators often create female animated characters for various fields such as games, commercials or other anime. Along with the development of animation, there are also negative and positive impacts, where the negative impact is the presence of symbols that lead to pornography. Most of the animations containing negative symbols are spread through the internet, which can be accessed easily by anyone, regardless of age. Which can result in addiction to viewing pornography to other negative behaviors. Artificial i
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Mayasari, Candra Nur, M. Arief Soeleman, and Pujiono Pujiono. "Deteksi Pornografi pada Karakter Animasi 2D dengan KNN (K-Nearest Neighbors) Menggunakan Fitur HSV." COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat 2, no. 8 (2022): 1236–50. http://dx.doi.org/10.59141/comserva.v2i8.462.

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The development of animation technology is very rapid, both in 2D and 3D forms. Most animators often create female animated characters for various fields such as games, commercials or other anime. Along with the development of animation, there are also negative and positive impacts, where the negative impact is the presence of symbols that lead to pornography. Most of the animations containing negative symbols are spread through the internet, which can be accessed easily by anyone, regardless of age. Which can result in addiction to viewing pornography to other negative behaviors. Artificial i
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3

Cai, Zengyu, Liusen Xu, Jianwei Zhang, Yuan Feng, Liang Zhu, and Fangmei Liu. "ViT-DualAtt: An efficient pornographic image classification method based on Vision Transformer with dual attention." Electronic Research Archive 32, no. 12 (2024): 6698–716. https://doi.org/10.3934/era.2024313.

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<p>Pornographic images not only pollute the internet environment, but also potentially harm societal values and the mental health of young people. Therefore, accurately classifying and filtering pornographic images is crucial to maintaining the safety of the online community. In this paper, we propose a novel pornographic image classification model named ViT-DualAtt. The model adopts a CNN-Transformer hierarchical structure, combining the strengths of Convolutional Neural Networks (CNNs) and Transformers to effectively capture and integrate both local and global features, thereby enhanci
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Karavarsamis, Sotiris, Nikos Ntarmos, Konstantinos Blekas, and Ioannis Pitas. "Detecting Pornographic Images by Localizing Skin ROIs." International Journal of Digital Crime and Forensics 5, no. 1 (2013): 39–53. http://dx.doi.org/10.4018/jdcf.2013010103.

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In this study, a novel algorithm for recognizing pornographic images based on the analysis of skin color regions is presented. The skin color information essentially provides Regions of Interest (ROIs). It is demonstrated that the convex hull of these ROIs provides semantically useful information for pornographic image detection. Based on these convex hulls, the authors extract a small set of low-level visual features that are empirically proven to possess discriminative power for pornographic image classification. In this study, the authors consider multi-class pornographic image classificati
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ZAIDAN, A. A., H. ABDUL KARIM, N. N. AHMAD, B. B. ZAIDAN, and A. SALI. "AN AUTOMATED ANTI-PORNOGRAPHY SYSTEM USING A SKIN DETECTOR BASED ON ARTIFICIAL INTELLIGENCE: A REVIEW." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 04 (2013): 1350012. http://dx.doi.org/10.1142/s0218001413500122.

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Unprecedented advances in Internet technologies with multimedia capabilities have enabled pornography and adult content to be widely and freely distributed as easy as a click of a mouse through various means such as YouTube, Facebook, and Tags. Protecting children from unnecessary exposure to adult content has, therefore, become a serious problem in the real world. In particular, the considerable perversion in pornography and the exposure of children and the society to such perversions leads to moral decay. Constructing an appropriate filter for pornographic images is a major concern in modern
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Srisaan, Chetneti. "A CLASSIFICATION OF INTERNET PORNOGRAPHIC IMAGES." International Journal of Electronic Commerce Studies 7, no. 1 (2016): 95–104. http://dx.doi.org/10.7903/ijecs.1408.

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Zaidan, A. A., H. Abdul Karim, N. N. Ahmad, B. B. Zaidan, and M. L. Mat Kiah. "Robust Pornography Classification Solving the Image Size Variation Problem Based on Multi-Agent Learning." Journal of Circuits, Systems and Computers 24, no. 02 (2014): 1550023. http://dx.doi.org/10.1142/s0218126615500231.

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This study proposed a pornography classifier using multi-agent learning as a combination of the Bayesian method using color features extracted from skin detection based on the YCbCr color space and the back-propagation neural network method using shape features also extracted from skin detection. The classification of pornographic images was made more robust to the variation of images despite size engineering problems. Previous studies failed to achieve such robustness. Findings showed that the proposed multi-agent learning-based pornography classifier has produced significant TP and TN averag
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Subaeki, Beki, Yana Aditia Gerhana, Meta Barokatul Karomah Rusyana, and Khaerul Manaf. "Digital Image Processing Using YCbCr Colour Space and Neuro Fuzzy to Identify Pornography." Jurnal Online Informatika 8, no. 1 (2023): 122–30. http://dx.doi.org/10.15575/join.v8i1.1070.

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Pornography is a severe problem in Indonesia, apart from drugs. This can be seen based on data from the Ministry of Communication and Informatics in 2021 which found 1.1 million pornographic content online. The increasing number of access to pornographic content sites on the internet can prove this. Several studies have been conducted to produce preventive formulas. However, this research flow has not been effective in solving the problem. This is because the results of the identification value in the output image obtained are not quite right. This study proposes a procedure for identifying po
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Phan, Dinh-Duy, Quang-Huy Nguyen, Thanh-Thien Nguyen, Hoang-Loc Tran, and Duc-Lung Vu. "Joint inter-intra representation learning for pornographic video classification." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 3 (2022): 1481. http://dx.doi.org/10.11591/ijeecs.v25.i3.pp1481-1488.

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This paper addresses video inter-intra similarity retrieval for pornographic classification. The main approaching method is obtaining the internal representation and external similarity between a single unlabeled video and batches of labeled videos, then combining together to determine its label. For the internal representation, we extracted inner features within frames and clustered them to find the representative centroid as the intra-feature. For the external similarity, we utilized a similarity video learning named ViSiL to calculate distance score between two videos using chamfer similari
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Phan, Dinh-Duy, Quang-Huy Nguyen, Thanh-Thien Nguyen, Hoang-Loc Tran, and Duc-Lung Vu. "Joint inter-intra representation learning for pornographic video classification." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 3 (2022): 1481–88. https://doi.org/10.11591/ijeecs.v25.i3.pp1481-1488.

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This paper addresses video inter-intra similarity retrieval for pornographic classification. The main approaching method is obtaining the internal representation and external similarity between a single unlabeled video and batches of labeled videos, then combining together to determine its label. For the internal representation, we extracted inner features within frames and clustered them to find the representative centroid as the intra-feature. For the external similarity, we utilized a similarity video learning named ViSiL to calculate distance score between two videos using chamfer similari
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Vučurović, Milica N. "An ethnotaxonomic classification of cultural thought among internet porn users, interpreted in the context of Japanese animated pornography." Issues in Ethnology and Anthropology 11, no. 1 (2016): 193. http://dx.doi.org/10.21301/eap.v11i1.9.

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The simple drawing style of Japanese animated pornography (hentai) and the incomplete messages transmitted through the handling short video clips instead of complete pornographic films or series on the Internet create a space in which users can reinterpret the content themselves and assign it meanings different to those originally intended by anime creators, the subculture or suggested by researchers. Based on the porn categories specific to the hentai genre, and keeping in mind the context and content of complete animated Japanese pornographic films, and the attitudes of their users, I will a
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12

Patial, Rakshit, and Murugan R. "Cyber Bullying: Safeguarding Kids from Internet Harassment." International Journal of Innovative Research in Computer and Communication Engineering 12, no. 05 (2024): 6468–71. http://dx.doi.org/10.15680/ijircce.2024.1205218.

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As parents, we all want to protect our children from the dangers of online pornography, cyberbullying, and predators. Various current methods focus on limited information gathered from the child's interactions online. Some use a blacklist of prohibited URLs to block access to certain websites, while others analyze the multimedia exchanged between the child and others. However, these approaches may not be foolproof as new URLs can evade the blacklist and individual images, videos, and text may appear harmless when considered on their own. Our proposal suggests a flexible framework that examines
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Doluda, A. O., and O. S. Puklich. "CLASSIFICATION OF FORENSIC ART EXAMINATION OBJECTS." Theory and Practice of Forensic Science and Criminalistics 16 (November 30, 2016): 378–84. http://dx.doi.org/10.32353/khrife.2016.52.

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The paper gives the classification of forensic art examination objects. Consideration is given to the features of conducting the forensic art examination and to the main directions of objects research on the issues of belonging to those that have a cultural value. Determination is made for the authenticity and cost of objects, as well as for the availability of pornographic signs and propaganda of violence and cruelty cults.
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Oronowicz-Jaśkowiak, Wojciech, Edyta Bzikowska, Klaudia Jabłońska, and Anita Kłok. "Binary classification of pornographic and non-pornographic materials using the sAI 0.4 model and the modified sexACT database." Postępy Psychiatrii i Neurologii 29, no. 2 (2020): 108–19. http://dx.doi.org/10.5114/ppn.2020.96975.

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Seifullina, Z. "Journalism in the digital age: trends and threads." Bulletin of L.N. Gumilyov Eurasian National University. JOURNALISM Series 133, no. 4 (2020): 92–98. http://dx.doi.org/10.32523/2616-7174-2020-133-4-92-98.

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In the globalised world the Internet is becoming extremely globalised. Freedom ofspeech and easy access to the information are praised. But how much can the Internet be good forpeople, especially for their most vulnerable part, such as children? This paper contributes to thediscussion on protecting children from access to pornographic content. The topic of the article hasa global significance.This paper contributes to the discussion on protecting children from access to pornographiccontent but has a global significance. Internet and mobile device usage have become a centralfeature in children’
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Yuan, Chao, and Jie Zhang. "Violation Detection of Live Video Based on Deep Learning." Scientific Programming 2020 (May 11, 2020): 1–12. http://dx.doi.org/10.1155/2020/1895341.

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With the rapid development of Internet technology, live broadcast industry has also flourished. However, in the public network live broadcast platform, live broadcast security issues have become increasingly prominent. The detection of suspected pornographic videos in live broadcast platforms is still in the manual detection stage, that is, through the supervision of administrators and user reports. At present, there are many online live broadcast platforms in China. In mainstream live streaming platforms, the number of live broadcasters at the same time can reach more than 100,000 people/time
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Barber, Sian. "‘Lewd, pornographic filth’: Managing Culture through Local Film Censorship in Britain, 1948–1968." Journal of British Cinema and Television 21, no. 1 (2024): 53–74. http://dx.doi.org/10.3366/jbctv.2024.0699.

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Film censorship in the UK is predicated on a two-tier system whereby the British Board of Film Classification (formerly British Board of Film Censorship Censorship) (BBFC) recommends a classification for a film and this classification is then implemented by local authorities. In cases where local authorities disagree with a BBFC decision they can change the classification or ban the film entirely. Conversely, they can also screen a film which has no BBFC certificate. This local decision-making is permitted under the powers granted to local authorities to oversee cinema exhibition and licensing
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Song, Kaisong, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun, and Xiaozhong Liu. "Evidence Aware Neural Pornographic Text Identification for Child Protection." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 14939–47. http://dx.doi.org/10.1609/aaai.v35i17.17753.

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Identifying pornographic text online is practically useful to protect children from access to such adult content. However, some authors may intentionally avoid using sensitive words in their pornographic texts to take advantage of the lack of human audits. Without prior knowledge guidance, real semantics of such pornographic text is difficult to understand by existing methods due to its high context-sensitivity and heavy usage of figurative language, which brings huge challenges to the porn detection systems used in social media platforms. In this paper, we approach to the problem as a documen
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Ageng, Rizky, Rafdhani Faisal, and Solahuddin Ihsan. "Random Forest Machine Learning for Spam Email Classification." Journal of Dinda : Data Science, Information Technology, and Data Analytics 4, no. 1 (2024): 8–13. http://dx.doi.org/10.20895/dinda.v4i1.1363.

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This research discusses the crucial role of email as a main element in digital communication, facilitating information transfer and serving as an advertising platform. However, the problem of email spam, which involves sending unsolicited commercial messages, has had negative impacts such as consuming large amounts of resources and disrupting user experience. With its affordable cost and ease of sending messages to thousands of recipients, email spam includes product promotions, pornographic material, viruses and irrelevant content. The impact includes loss of time and damage to the user's com
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Chen, Junren, Gang Liang, Wenbo He, Chun Xu, Jin Yang, and Ruihang Liu. "A Pornographic Images Recognition Model based on Deep One-Class Classification With Visual Attention Mechanism." IEEE Access 8 (2020): 122709–21. http://dx.doi.org/10.1109/access.2020.2988736.

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Oronowicz-Jaskowiak, Wojciech, Adam Siwiak, Krzysztof Róg, and Agnieszka Oronowicz-Jaśkowiak. "Classification of nine types of pornographic materials using the sAI 0.3 model. Continuation of the pilot study." Psychiatria Polska 56, no. 4 (2022): 877–88. http://dx.doi.org/10.12740/pp/138243.

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Cel pracyLegalne materiały pornograficzne stanowią niejednolitą grupę materiałów audiowizualnych, które przedstawiają jedną lub większą liczbę osób powyżej osiemnastego roku życia podczas podejmowania czynności o charakterze seksualnym. Celem badań było wytrenowanie modelu sieci neuronowej do klasyfikacji zadanych typów materiałów pornograficznychMetodaMateriały włączone do zbioru treningowego (3600 materiałów) i walidacyjnego (900 materiałów) podlegały restrykcyjnym kryteriom włączenia, a następnie były ręcznie klasyfikowane. Na tak przygotowanych materiałach wytrenowano głęboką sieć neuronow
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Sui Lyn, Hor, Sarina Mansor, Nouar AlDahoul, and Hezerul Abdul Karim. "Convolutional Neural Network-based Transfer Learning and Classification of Visual Contents for Film Censorship." Journal of Engineering Technology and Applied Physics 2, no. 2 (2020): 28–35. http://dx.doi.org/10.33093/jetap.2020.2.2.5.

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Content filtering is gaining popularity due to easy exposure of explicit visual contents to the public. Excessive exposure of inappropriate visual contents can cause devastating effects such as the growth of improper mindset and rise of societal issues such as free sex, child abandonment and rape cases. At present, most of the broadcasting media sites are hiring censorship editors to label graphic contents manually. Nevertheless, the efficiency is limited by factors such as the attention span of humans and the training required for the editors. This paper proposes to study the effect of usage
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Zaytseva, Olga, and Pavel Katyshev. "Names of Genitals: Nominative Features and Their Functioning in Pornography Narrative." Legal Linguistics, no. 28(39) (July 1, 2023): 96–104. http://dx.doi.org/10.14258/leglin(2023)2816.

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The paper deals with the classification of ways of designation genitals in Russian. The theoretical basis is represented by researches on meaning euphemization, the theory of conceptual metaphor and existing classifications of genital vocabulary. The aim of this study is search for classification grounds needed for the systematization of the studied group of words and the description of the lexical ways of designating the genitals in Russian. The material for the study was 120 fragments of pornographic texts containing an explicit description of the consensual and nonconsensual sexual interact
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Shraho, Alyona. "Typification of algorithms for investigating the sale and distribution of pornographic items via Internet." Naukovyy Visnyk Dnipropetrovs'kogo Derzhavnogo Universytetu Vnutrishnikh Sprav 4, no. 4 (2020): 361–67. http://dx.doi.org/10.31733/2078-3566-2020-4-361-367.

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The article attempts to single out typical investigative situations of the initial stage of the investigation of the facts of sale and distribution of pornographic items on the Internet. The presence of thorough scientific developments in the disclosure of issues of general issues, concepts, content of the investigative situation, the general algorithm and planning of the investigation of crimes of this category. It is emphasized that the issues related to the planning of the investigation of these crimes are fragmentary. Given the significant prevalence of crimes against morality in Ukraine u
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Ahmed, Mirza Jamal, and Nurul Azma Abdullah. "Decoding Innocence: Advancing Forensic Facial Discrimination through Comparative Analysis of Conventional CNN and Advanced Architectures." JOIV : International Journal on Informatics Visualization 8, no. 2 (2024): 760. http://dx.doi.org/10.62527/joiv.8.2.2755.

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The field of Digital Image Forensics (DIF) faces a critical issue in accurately identifying children in digital images, notably in cases involving the proliferation of child sexual abuse content. Existing techniques face hurdles due to model architecture limitations, dataset suitability concerns, and classification imbalance, impeding their ability to recognize children to deter pornographic images. Addressing this challenge, this study introduces Implicit Feature Extraction (IFE), a specialized approach for distinguishing child and adult images in object detection. Leveraging Convolutional Ne
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Cai, Zengyu, Xinyang Qiao, Jianwei Zhang, Yuan Feng, Xinhua Hu, and Nan Jiang. "RepVGG-SimAM: An Efficient Bad Image Classification Method Based on RepVGG with Simple Parameter-Free Attention Module." Applied Sciences 13, no. 21 (2023): 11925. http://dx.doi.org/10.3390/app132111925.

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With the rapid development of Internet technology, the number of global Internet users is rapidly increasing, and the scale of the Internet is also expanding. The huge Internet system has accelerated the spread of bad information, including bad images. Bad images reflect the vulgar culture of the Internet. They will not only pollute the Internet environment and impact the core culture of society but also endanger the physical and mental health of young people. In addition, some criminals use bad images to induce users to download software containing computer viruses, which also greatly endange
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Chen, Yang, Rongfeng Zheng, Anmin Zhou, Shan Liao, and Liang Liu. "Automatic Detection of Pornographic and Gambling Websites Based on Visual and Textual Content Using a Decision Mechanism." Sensors 20, no. 14 (2020): 3989. http://dx.doi.org/10.3390/s20143989.

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Pornographic and gambling websites become increasingly stubborn via disguising, misleading, blocking, and bypassing, which hinder the construction of a safe and healthy network environment. However, most traditional approaches conduct the detection process through a single aspect of these sites, which would fail to handle the more intricate and challenging situations. To alleviate this problem, this study proposed an automatic detection system for porn and gambling websites based on visual and textual content using a decision mechanism (PG-VTDM). This system can be applied to the intelligent w
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Muchunku, Dr Idah Gatwiri. "Analyses of Dynamics of Censorship of Music in East Africa: The Case of Tanzania Communications Regulatory Authority and Kenya Film and Classification Board." International Journal of Research and Innovation in Social Science VII, no. V (2023): 517–41. http://dx.doi.org/10.47772/ijriss.2023.70543.

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This was a case study of censorship of music in East Africa (EA) that used desktop research methodology to retrieve openly available online resources to do a qualitative content analyses of restrictions in two East Africa countries (Tanzania and Kenya). The study was guided by two specific objectives: to examine the dynamics of censorship of music by Tanzania Communications Regulatory Authority (TCRA) between January 2018 and March 2023; and to assess the dynamics of censorship of music by Kenya Film and Classification Board (KFCB) between January 2018 and March 2023. The study found out that
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Białas, Mateusz. "Vers l'esthétique du corps « libéré » : étude du lexique somatique dans le discours pornographique externe." Linguodidactica 26 (2022): 23–35. http://dx.doi.org/10.15290/lingdid.2022.26.02.

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In this paper, we present the results of a study devoted to the analysis of the corpus, which consists of lexical diastratic material of a non-standard variety of the French language: about one hundred information sheets referred to as erotic biographies, which in turn seem to be the most noticeable example of the genre of external pornographic discourse today. In this case, these are biographies of X actors collected on the French-language website: https://www.videosxgays.com/. The analysis was based on the classification of Jean-Jacques Robrieux’s figures of discourse, focusing on the clearl
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Pett, Emma. "‘Blood, guts and Bambi eyes’: Urotsukidoji and the Transcultural Reception and Regulation of Anime." Journal of British Cinema and Television 13, no. 3 (2016): 390–408. http://dx.doi.org/10.3366/jbctv.2016.0326.

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The regulation and reception of anime in Britain has, historically, been fraught with difficulty. In 1992, the British Board of Film Classification (BBFC) rejected the first instalment of Urotsukidoji, a controversial series of erotic anime, on the grounds of its sexually explicit content; this decision set a precedent for the way in which they would continue to censor anime for the following two decades. Nearly twenty years later, in 2009, Clause 62 of the Coroners and Justice Act, also colloquially known as the ‘Dangerous Cartoons Act’, made it a criminal offence to possess non-photographic
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BISANT, DAVID. "AN APPLICATION OF NEURAL NETWORKS TO SEQUENCE ANALYSIS AND GENRE IDENTIFICATION." International Journal of Pattern Recognition and Artificial Intelligence 19, no. 02 (2005): 199–215. http://dx.doi.org/10.1142/s021800140500396x.

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This study borrowed a technique from molecular sequence analysis and applied it to genre identification, which is the process of determining the type or family of a given document. For example, is the document a letter, a news story, a horoscope, a joke, an advertisement, a pornographic story, etc. Genre identification allows a computer user to further filter email and web sites in a way that is totally different from topic-based methods. This study presents original research in an application of machine learning to the genre identification problem. The specific method selected for the applica
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You, Changhui, Hong Zheng, Zhongyuan Guo, Tianyu Wang, and Xiongbin Wu. "Multiscale Content-Independent Feature Fusion Network for Source Camera Identification." Applied Sciences 11, no. 15 (2021): 6752. http://dx.doi.org/10.3390/app11156752.

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In recent years, source camera identification has become a research hotspot in the field of image forensics and has received increasing attention. It has high application value in combating the spread of pornographic photos, copyright authentication of art photos, image tampering forensics, and so on. Although the existing algorithms greatly promote the research progress of source camera identification, they still cannot effectively reduce the interference of image content with image forensics. To suppress the influence of image content on source camera identification, a multiscale content-ind
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Osman, Ghazali, and Muhammad Suzuri Hitam. "Skin Color detection Using Stepwise Neural Network and Color Mapping Co-occurrence Matrix." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, no. 7 (2014): 3642–50. http://dx.doi.org/10.24297/ijct.v12i7.3076.

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Skin color has been proven to be a useful and robust cue for face detection, human tracking, image content filtering, pornographic filtering, etc. Most of skin classification researches are focused on using pixel-based method to classify skin and non-skin pixels. This paper proposed a new technique for region-based skin color detection using texture information. The texture information was extracted from the color mapping co-occurrence matrix (CMCM). This technique is extension of gray level co-occurrence matrix (GLCM) which is introduced by Haralicket. al to compute second order statistic
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Andreas, Andreas, and Lusia Permata Sari Hartanti. "Webpage Classification Using Naïve Bayes Classifier and Information Retrieval Method to Block the Pornography Contents." International Journal of Future Computer and Communication 6, no. 4 (2017): 153–57. http://dx.doi.org/10.18178/ijfcc.2017.6.4.509.

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Grubbs, Joshua B., Brinna N. Lee, K. Camille Hoagland, Shane W. Kraus, and Samuel L. Perry. "Addiction or Transgression? Moral Incongruence and Self-Reported Problematic Pornography Use in a Nationally Representative Sample." Clinical Psychological Science 8, no. 5 (2020): 936–46. http://dx.doi.org/10.1177/2167702620922966.

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In the United States, pornography use is common, and it is increasingly a clinical concern under some circumstances. Excessive pornography use may qualify for the new diagnosis of compulsive sexual behavior disorder (CSBD) in the forthcoming 11th version of the International Classification of Diseases. There is also evidence, however, that moral incongruence (i.e., a misalignment of moral beliefs about sexual behavior and actual sexual behavior) may inflate self-reports of problems associated with pornography use. Prior work suggests religiousness may drive such moral incongruence. Using a lar
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Dilevko, Juris, and Lisa Gottlieb. "Deep classification: pornography, bibliographic access, and academic libraries." Library Collections, Acquisitions, and Technical Services 26, no. 2 (2002): 113–39. http://dx.doi.org/10.1016/s1464-9055(02)00229-4.

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Dilevko, Juris, and Lisa Gottlieb. "Deep classification: pornography, bibliographic access, and academic libraries." Library Collections, Acquisitions, & Technical Services 26, no. 2 (2002): 113–39. http://dx.doi.org/10.1080/14649055.2002.10765838.

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Moreira, Daniel, Sandra Avila, Mauricio Perez, et al. "Pornography classification: The hidden clues in video space–time." Forensic Science International 268 (November 2016): 46–61. http://dx.doi.org/10.1016/j.forsciint.2016.09.010.

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Cerbara, Loredana, Giulia Ciancimino, Gianni Corsetti, and Antonio Tintori. "The (Un)Equal Effect of Binary Socialisation on Adolescents’ Exposure to Pornography: Girls’ Empowerment and Boys’ Sexism from a New Representative National Survey." Societies 13, no. 6 (2023): 146. http://dx.doi.org/10.3390/soc13060146.

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Due to the increasing trend in the use of pornography recorded in recent years, along with the decreasing age of its consumers, many studies have investigated its potential negative effects on adolescents, who are developing their social and sexual identity, often producing inconsistent results. With the present study, which is based on a large representative sample of Italian students attending public upper secondary schools, predictors as well as negative and positive effects of pornography use on adolescents’ attitudes, beliefs and well-being have been identified through a psychosocial appr
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Nabiilah, Ghinaa Zain, Islam Nur Alam, Eko Setyo Purwanto, and Muhammad Fadlan Hidayat. "Indonesian multilabel classification using IndoBERT embedding and MBERT classification." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 1 (2024): 1071. http://dx.doi.org/10.11591/ijece.v14i1.pp1071-1078.

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The rapid increase in social media activity has triggered various discussion spaces and information exchanges on social media. Social media users can easily tell stories or comment on many things without limits. However, this often triggers open debates that lead to fights on social media. This is because many social media users use toxic comments that contain elements of racism, radicalism, pornography, or slander to argue and corner individuals or groups. These comments can easily spread and trigger users vulnerable to mental disorders due to unhealthy and unfair debates on social media. Thu
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Kuss, Daria J., and Olatz Lopez-Fernandez. "What the grey literature can contribute to addictive behaviour disorder classification •." Journal of Behavioral Addictions 11, no. 2 (2022): 199–203. http://dx.doi.org/10.1556/2006.2022.00027.

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Abstract This commentary examines the proposal made by Brand et al. (2022) regarding a framework outlining relevant criteria for considering possible behavioural addictions within the current World Health Organisation's International Classification of Diseases (ICD-11) category of ‘other specified disorders due to addictive behaviours’. We agree with the framework as it highlights the clinical perspective requiring agreed-upon classifications and criteria to produce effective diagnostic procedures and efficacious treatments. Additionally, we propose to add the need of recognising potential add
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Watson, Brian M. "A finding aid to the pornographic imaginary: implications of amateur classifications on/by reddit’s NSFW411." Porn Studies 8, no. 2 (2021): 201–23. http://dx.doi.org/10.1080/23268743.2020.1830590.

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Potenza, M., K. Shane, and H. Rani. "Classification and clinical issues relating to hypersexuality." European Psychiatry 33, S1 (2016): S42—S43. http://dx.doi.org/10.1016/j.eurpsy.2016.01.894.

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Multiple terms have been used to describe excessive and interfering patterns of non-paraphilic sexual behaviors including sex addiction, compulsive sexual behavior (CSB) and hypersexual disorder (HD). While a field trial was conducted to investigate the reliability and validity of the criteria for HD, the condition was not included in DSM-5, with this decision in part relating to insufficient data on the proposed condition. Currently, CSB is being considered as a diagnostic entity in the category of impulse-control disorders for ICD-11. In this presentation, we will present data relating to HD
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AlDahoul, Nouar, Hezerul Abdul Karim, Mohd Haris Lye Abdullah, et al. "Transfer Detection of YOLO to Focus CNN’s Attention on Nude Regions for Adult Content Detection." Symmetry 13, no. 1 (2020): 26. http://dx.doi.org/10.3390/sym13010026.

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Video pornography and nudity detection aim to detect and classify people in videos into nude or normal for censorship purposes. Recent literature has demonstrated pornography detection utilising the convolutional neural network (CNN) to extract features directly from the whole frames and support vector machine (SVM) to classify the extracted features into two categories. However, existing methods were not able to detect the small-scale content of pornography and nudity in frames with diverse backgrounds. This limitation has led to a high false-negative rate (FNR) and misclassification of nude
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Antons, Stephanie, and Matthias Brand. "Diagnostic and Classification Considerations Related to Compulsive Sexual Behavior Disorder and Problematic Pornography Use." Current Addiction Reports 8, no. 3 (2021): 452–57. http://dx.doi.org/10.1007/s40429-021-00383-7.

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Abstract Purpose of Review There are ongoing debates about specific features of compulsive sexual behavior disorder (CSBD) relating to classification and diagnoses. We aim to address current discussions relating to potential subtypes of CSBD, the aspect of compulsivity in CSBD, and the aspect of moral incongruence and CSBD. Recent Findings CSBD includes multiple specific sexual behaviors that might be related to specific psychological processes. Problematic pornography use may be considered a subtype of CSBD, which may have multiple parallels with addictive behaviors. The feature of compulsivi
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Nugroho, Hanung Adi, Fauziazzuhry Rahadian, Teguh Bharata Adji, Widhia K. Z. Oktoeberza, and Ratna Lestari Budiani Buana. "Texture Analysis for Skin Classification in Pornography Content Filtering Based on Support Vector Machine." Journal of Engineering and Technological Sciences 48, no. 5 (2016): 584–96. http://dx.doi.org/10.5614/j.eng.technol.sci.2016.48.5.6.

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Hakami, Hanadi. "Automatic classification of mobile apps to ensure safe usage for adolescents." PLOS ONE 20, no. 1 (2025): e0313953. https://doi.org/10.1371/journal.pone.0313953.

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The integration of mobile devices into adolescents’ daily lives is significant, making it imperative to prioritize their safety and security. With the imminent arrival of fast internet (6G), offering increased bandwidth and reduced latency compared to its predecessor (5G), real-time streaming of high-quality video and audio to mobile devices will become feasible. To effectively leverage the fast internet, accurately classifying Mobile Applications (M-APPs) is crucial to shield adolescents from inappropriate content, including violent videos, pornography, hate speech, and cyberbullying. This wo
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Azzahra, Nadhia, Danang Murdiansyah, and Kemas Lhaksmana. "Toxic Comment Classification on Social Media Using Support Vector Machine and Chi Square Feature Selection." International Journal on Information and Communication Technology (IJoICT) 7, no. 1 (2021): 64–76. http://dx.doi.org/10.21108/ijoict.v7i1.552.

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The use of social media in society continues to increase over time and the ease of access and familiarity of social media then make it easier for an irresponsible user to do unethical things such as spreading hatred, defamation, radicalism, pornography so on. Although there are regulations that govern all the activities on social media. However, the regulations are still not working effectively. In this study, we conducted a classification of toxic comments containing unethical matters using the SVM method with TF-IDF as the feature extraction and Chi Square as the feature selection. The best
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Li, Yujin, Tianliang Lu, Gaojun Zeng, Kai Zhao, and Shufan Peng. "Advanced ENF Region Classification Using UniTS-SinSpec: A Novel Approach Integrating Sinusoidal Activation Function and Spectral Attention." Applied Sciences 14, no. 19 (2024): 9081. http://dx.doi.org/10.3390/app14199081.

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The electric network frequency (ENF), often referred to as the industrial heartbeat, plays a crucial role in the power system. In recent years, it has found applications in multimedia evidence identification for court proceedings and audio–visual temporal source identification. This paper introduces an ENF region classification model named UniTS-SinSpec within the UniTS framework. The model integrates the sinusoidal activation function and spectral attention mechanism while also redesigning the model framework. Training is conducted using a public dataset on the open science framework (OSF) pl
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Gullo, Matthew J., Andrew P. Wood, and John B. Saunders. "Criteria for the establishment of a new behavioural addiction •." Journal of Behavioral Addictions 11, no. 2 (2022): 191–98. http://dx.doi.org/10.1556/2006.2022.00031.

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Abstract When does repeated behaviour constitute behavioural addiction? There has been considerable debate about non-substance-related addictions and how to determine when impaired control over a behaviour is addiction. There are public health benefits to identifying new behavioural addictions if intervention can improve outcomes. However, criteria for establishing new behavioural addictions must guard against diagnostic inflation and the pathologizing of normal problems of living. Criteria should include clinical relevance (Criterion 1), alignment with addiction phenomenology (Criterion 2) an
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