"You" Is Not Toxic: How LLM Labelers Rewrite the Web's Conversation Laws
cs.SI, cs.CL
Submitted: 2026-10-16
Updated: 2026-10-16
Comments: 43 pages, 4 figures, 44 tables. Labels, prompts and code: https://github.com/liyu2195/you-is-not-toxic
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Related papers
- Linking Scalar-Intensity Language to Structural Polarization with Validated Signed-Network Measures
- Detection and Characterization of Coordinated Online Behavior: A Survey
- Omega-N: Interpretable Structural Node Descriptors and Their Applicability Domain
- Semantic Communities and Boundary-Spanning Lyrics in K-pop: A Graph-Based Unsupervised Analysis
- Simplify to Amplify: Achieving Information-Theoretic Bounds with Fewer Steps in Spectral Community Detection
- Transmission Neural Networks: Inhibitory and Excitatory Connections