Twitter climate discourse as a signal of pro-environmental behaviors

This collection of recent arXiv papers highlights several security and privacy risks in social-media and NLP research. Most critical: an emotion-aware clickbait generation attack exploits stylistic transformations and VAD modeling to significantly degrade state-of-the-art classifiers (reported misclassification increases of ~2.6%–30.6%), showing practical evasion and engagement-optimization techniques. Tooling and datasets (Social Media Data Toolkit; MEDS—28k personas; TEA Nets extraction framework) lower barriers for large-scale collection, linkage, enrichment and automated entity/event/agent