pith:IZTLQT75
Psychologically Potent, Computationally Invisible: LLMs Generate Social-Comparison-Eliciting Posts They Fail to Detect
LLMs generate social-comparison triggers but fail to detect them with prompts
arxiv:2605.01017 v2 · 2026-05-01 · cs.CL
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Claims
Across prompted LLM classifiers and supervised Chinese encoder baselines, we find a consistent mismatch between generation fluency and reliable detection ability: the signal is textually learnable in-domain, but not robustly accessible to prompt-based classification.
That the XHS-SCoRE benchmark, built from first-person reader labels on Xiaohongshu posts, accurately and stably captures the psychologically real construct of social comparison rather than artifacts of the platform or labeling process.
LLMs generate social media posts that shift readers' perceived standing and comparison-related feelings but fail to reliably detect the same social-comparison triggers via prompt-based classification.
Receipt and verification
| First computed | 2026-05-26T02:05:09.743395Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4666b84ffd834a1da8127905cc77bba67817c18f6d01ca429dca0b1bcf71a0ab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IZTLQT75QNFB3KASPEC4Y553UZ \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 4666b84ffd834a1da8127905cc77bba67817c18f6d01ca429dca0b1bcf71a0ab
Canonical record JSON
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