New STEMTOX framework improves toxic meme detection using collaborative tags

Researchers have introduced STEMTOX, a novel framework designed to improve the detection of toxic content within memes. This approach utilizes a new dataset called TOXICTAGS, which includes collaborative tags alongside visual and textual information from meme-based posts. By incorporating these tags, STEMTOX enhances the performance of state-of-the-art vision-language models in identifying hateful, dangerous, or offensive memes. AI

IMPACT Enhances content moderation systems by providing a more robust method for detecting toxic memes.

RANK_REASON The item describes a new academic paper detailing a novel framework and dataset for a specific AI task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• alphaXiv
• arXiv
• CatalyzeX
• DagsHub
• Gotit.pub
• Hugging Face
• ScienceCast
• STEMTOX
• Subhankar Swain Swain
• TOXICTAGS

• paper
• safety

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →