VidAngel: Content filtering technologies, religion, and American copyright law

Feller, Gavin; Ventimiglia, Andrew

doi:10.1080/24701475.2020.1831198

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…The idea of finding a technological solution to avoid the sexual sin induced by the vast amount of sexually explicit material available in digital space is not new and has evolved. From dedicated hardware filters, V-chips, and background scanning software, to sophisticated crowdsourcing methodologies, many entrepreneurs from different branches of conservative religious groups have attempted to create solutions to protect believers from exposure to indecent, violent, profane, and blasphemous media on the Internet (Feller and Ventimiglia 2021). The initial attempts were concerned with automatically editing movies or videos, but as the availability of digital material became more easily accessible, sophisticated, varied, and widespread, technologies had to be improved to cope with the task.…”

Section: Ai and Sexual Puritymentioning

confidence: 99%

Researching Artificial Intelligence Applications in Evangelical and Pentecostal/Charismatic Churches: Purity, Bible, and Mission as Driving Forces

La Cruz,

Mora

2024

Religions

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We explore in this article how Evangelical and Pentecostal/Charismatic Churches (EPCCs) view Artificial Intelligence (AI), and how they use it, either intentionally or indirectly. Considering first the digital habitus in which EPCCs are immersed, we have documented and analyzed three sample cases showing how EPCCs use advanced AI tools to improve the sanctification process for believers; how the Bible can be translated, distributed, and its reading can be fostered around the world, using machine intelligence; and how a spiritual revival among EPCCs can spread rapidly through AI-mediated algorithms. We discuss the implications of these developments and conclude finally with some ideas about how EPCCs should engage AI applications in the future.

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Section: Ai and Sexual Puritymentioning

confidence: 99%

Researching Artificial Intelligence Applications in Evangelical and Pentecostal/Charismatic Churches: Purity, Bible, and Mission as Driving Forces

La Cruz,

Mora

2024

Religions

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“…Recent studies in the literature have primarily focused on examining and comparing methods for single object detection. These methods have been applied to detect a single content category from videos and remove unwanted scenes (Feller & Ventimiglia, 2020). In contrast, our system is designed to detect multiple categories and allows users to select which categories to censor, offering video playback with greater flexibility and customization options.…”

Section: Related Workmentioning

confidence: 99%

DeepCens: A deep learning‐based system for real‐time image and video censorship

Yuksel,

Tan

2023

Expert Systems

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The popularity of social networks and video‐on‐demand platforms has increased the importance of image and video censorship. These platforms contain various content such as violence, explicit content, drug use and smoking that may be offensive or harmful to certain viewers. As a result, censorship is employed to filter or remove content that is unsuitable for particular audiences such as children and teenagers. However, policies for censoring harmful content in digital environments are either limited or nonexistent. This underscores the need for automated systems that can detect and censor harmful content in real time. To address these challenges, we developed the first of our knowledge systems using deep learning techniques to censor harmful content. We propose two novel, YOLO‐based real‐time censorship algorithms. Our approaches employ a pipeline‐based architecture that parallelizes the operations with subprocesses. In our experiments, the proposed algorithms performed faster and with higher accuracies compared to traditional approaches. Specifically, its content‐based accuracies were 98% for explicit content, 97% for alcohol, 98% for cigarettes and 97% for violence. Our research highlights the importance of developing effective and efficient solutions for censoring harmful content on digital media platforms. Our deep learning‐based system represents a promising approach to this challenge and has the potential to enhance user safety and protect vulnerable groups from harmful and offensive content. Future research will continue to refine and improve such systems to better address the evolving landscape of digital media and the challenges posed by harmful content.

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How to Regulate Platforms Through a Non-Exploitative User-Generated-Content Levy

Huang,

Chen

2024

Social Science Computer Review

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The democratization of technology to re-create content and make that content publicly available has spurred a wave of user-generated content (UGC), which has produced remarkable social and economic benefits. However, under current copyright law, UGC creators face the dilemma of being deterred from creating UGC because of the risk of copyright infringement, copyright owners can rarely obtain remuneration from UGC, and UGC platforms profit from UGC without being held liable for copyright infringement. Recent proposals to extend fair use and compulsory licenses to UGC creators and impose direct liability on UGC platforms cannot solve the UGC dilemma due to the inadequate or unreasonable regulation of UGC platforms. This study aims to solve the UGC dilemma by proposing a non-exploitative UGC levy on UGC platforms. We demonstrate the necessity of the non-exploitative UGC levy by conducting a comparative study of existing proposals and illustrate the feasibility of the non-exploitative UGC levy through an institutional analysis of its framework and enforcement mechanisms. Justification of the proposed levy and responses to possible criticism are also provided. The levy scheme also provides inspiration for how copyright law can address burgeoning artificial intelligence-generated content (AIGC).

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VidAngel: Content filtering technologies, religion, and American copyright law

Cited by 3 publications

References 17 publications

Researching Artificial Intelligence Applications in Evangelical and Pentecostal/Charismatic Churches: Purity, Bible, and Mission as Driving Forces

Researching Artificial Intelligence Applications in Evangelical and Pentecostal/Charismatic Churches: Purity, Bible, and Mission as Driving Forces

DeepCens: A deep learning‐based system for real‐time image and video censorship

How to Regulate Platforms Through a Non-Exploitative User-Generated-Content Levy

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