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Religious moderation in Instagram: An Islamic interpretation perspective

Heliyon
Religious freedom and plurality remain major challenges in Indonesia, with both authorities and social media influencers involved. One potential solution is integrating moderation into religious activities, especially through platforms like Instagram ...
A. Hadiyanto   +2 more
semanticscholar   +1 more source

Do Not Recommend? Reduction as a Form of Content Moderation

Social Media + Society, 2022
Public debate about content moderation has overwhelmingly focused on removal: social media platforms deleting content and suspending users, or opting not to do so. However, removal is not the only available remedy.
Tarleton Gillespie
semanticscholar   +1 more source

Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models

Conference on Fairness, Accountability and Transparency
Content moderation plays a critical role in shaping safe and inclusive online environments, balancing platform standards, user expectations, and regulatory frameworks.
Konstantina Palla   +7 more
semanticscholar   +1 more source

AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts

arXiv.org
As Large Language Models (LLMs) and generative AI become more widespread, the content safety risks associated with their use also increase. We find a notable deficiency in high-quality content safety datasets and benchmarks that comprehensively cover a ...
Shaona Ghosh   +3 more
semanticscholar   +1 more source

Moderate presentism

Philosophical Studies, 2015
Typical presentism asserts that whatever exists is present. Moderate presentism more modestly claims that all events are present and thus acknowledges past and future times understood in a substantivalist sense, and past objects understood, following Williamson, as “ex-concrete.” It is argued that moderate presentism retains the most valuable features ...
openaire   +2 more sources

Who moderates the moderators?

Proceedings of the 12th ACM conference on Electronic commerce, 2011
A large fraction of user-generated content on the Web, such as posts or comments on popular online forums, consists of abuse or spam. Due to the volume of contributions on popular sites, a few trusted moderators cannot identify all such abusive content, so viewer ratings of contributions must be used for moderation. But not all viewers who rate content
Arpita Ghosh   +2 more
openaire   +1 more source

Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters

Neural Information Processing Systems
Large Language Models (LLMs) are typically harmless but remain vulnerable to carefully crafted prompts known as ``jailbreaks'', which can bypass protective measures and induce harmful behavior.
Haibo Jin   +3 more
semanticscholar   +1 more source

Content moderation by LLM: from accuracy to legitimacy

Artificial Intelligence Review
One trending application of LLM (large language model) is to use it for content moderation in online platforms. Most current studies on this application have focused on the metric of accuracy—the extent to which LLMs make correct decisions about content.
T. Huang
semanticscholar   +1 more source

Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models

Conference on Empirical Methods in Natural Language Processing
In the evolving landscape of online communication, moderating hate speech (HS) presents an intricate challenge, compounded by the multimodal nature of digital content.
Ming Shan Hee   +6 more
semanticscholar   +1 more source

Moderate frequency compression for the moderately hearing impaired

The Journal of the Acoustical Society of America, 1977
The intelligibility of frequency-compressed speech was measured for four normal and eight hearing-impaired subjects with sensory-neural high-frequency loss. Hearing levels were roughly 40 dB. Four conditions of frequency compression, 0%, 20%, 33%, and 55% were obtained using a Varispeech compressor.
M. Mazor   +3 more
openaire   +2 more sources

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