Understanding Users' Perceptions of Client-Side Modifications and Anti-Cheat Engines in Social XR

Artifacts for the CCS '26 paper Understanding Users' Perceptions of Client-Side Modifications and Anti-Cheat Engines in Social XR. This record contains the following: our codebook keyword list and the manual annotation guide prompts for the LLM-based classifier full list of candidate events model comparison results for both classifiers results for the regression analysis at different window sizes code for training the relevance classifier, running the LLM-based labeling, and fitting the regression. We do not release Reddit data or the trained classifier built on it due to Reddit’s content policy.