23 citations · 24 across the 8 of their papers we have counts for
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cs.CL2026
Automatic Classifiers Underdetect Emotions Expressed by Men
Ivan Smirnov, Segun T. Aroyehun, Paul Plener +1
The widespread adoption of automatic sentiment and emotion classifiers makes it important to ensure that these tools perform reliably across different populations. Yet their reliab…
cs.CL2025
The Collective Turing Test: Large Language Models Can Generate Realistic Multi-User Discussions
Azza Bouleimen, Giordano De Marzo, Taehee Kim +5
Large Language Models (LLMs) offer new avenues to simulate online communities and social media. Potential applications range from testing the design of content recommendation algor…