Develops an emotion-aware framework and the Persona-Stimulus-Reaction domain to extract emotional profiles and assess behavioral stability in multi-agent AI interactions on Moltbook.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Emotion-aware stylistic rewrites of headlines using VAD space and LLMs increase misclassification rates of clickbait detectors by up to 30.63%.
A framework transforms aggressive social media text into neutral styles while preserving semantics, measured by a new Emotion Drift Index to reduce online harm.
citing papers explorer
-
Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook
Develops an emotion-aware framework and the Persona-Stimulus-Reaction domain to extract emotional profiles and assess behavioral stability in multi-agent AI interactions on Moltbook.
-
Emotion-Aware Clickbait Attack in Social Media
Emotion-aware stylistic rewrites of headlines using VAD space and LLMs increase misclassification rates of clickbait detectors by up to 30.63%.
-
From Notepad AI to Social Media: How Can Text Style Transformation Mitigate Social Harm?
A framework transforms aggressive social media text into neutral styles while preserving semantics, measured by a new Emotion Drift Index to reduce online harm.