Confidence-aware system combines Arabic text and images to flag hateful memes
An open-source system combining Arabic text analysis, image recognition and uncertainty-based escalation reached a macro F1 score of 0.71 on ...
An open-source system combining Arabic text analysis, image recognition and uncertainty-based escalation reached a macro F1 score of 0.71 on ...
A prospective audit found that TikTok returned “no violation” for 95.2% of user reports about UK-facing drug-selling accounts, with 83.5% ...
A qualitative study of three high-profile women shows that recovering from gendered online abuse is a strategic, ongoing process rather ...
A mixed-method corpus study of 500,599 Google Play reviews shows Indonesian swearing performs catharsis, complaint, humor, solidarity, intensification, and ideological ...
Researchers have developed a few-shot AI framework that combines agentic retrieval-augmented generation with multi-agent data augmentation to detect coded dog-whistle ...
A new study shows that fine-tuning large language models substantially outperforms prompting and classical baselines for detecting which group online ...
A new study of 100,000 tweets shows that LLaMA 3.2 refuses about 10 percent of paraphrasing requests, enforcing a narrow, ...
A new fairness-regularized framework called CoR-Hate retrieves real counterfactual examples from corpus data to reduce identity bias in hate-speech detection ...
A new study systematically tests early, late, and hybrid fusion strategies for combining image and text in AI systems that ...
Researchers have developed a reinforcement learning method that trains multimodal AI models to detect hateful and propagandistic memes in English ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine