Handle with CARE: Can LLMs Reproduce How Online Communities React?
This work introduced CARE, a framework to benchmark LLMs against authentic online community reactions by analyzing fine-grained reaction tones and attitudes. Testing showed that simply prompting models with community information does not improve simulation accuracy uniformly; instead, it reveals a 'realism gap' where changes in tone and attitude alignment are often decoupled.