pith:GZVSHXNW
Scale over Preference: The Impact of AI-Generated Content on Online Content Ecology
AI-generated content creators achieve aggregate engagement comparable to human creators through high-volume production despite user preference for human content.
arxiv:2604.01690 v2 · 2026-04-02 · cs.AI
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\pithnumber{GZVSHXNWYIIQAPSF3ZIROTBGH7}
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Record completeness
Claims
A prevalent scale-over-preference dynamic, wherein AIGC creators achieve aggregate engagement comparable to HGC creators through high-volume production, despite a marked consumer preference for HGC.
That the observed behaviors and preferences are generalizable beyond the specific platform and dataset, and that the algorithmic moderation is accurately identified without confounding factors.
AIGC creators match HGC engagement via high-volume production despite consumer preference for HGC, with algorithms moderating the effect.
References
Formal links
Receipt and verification
| First computed | 2026-05-18T03:09:22.432188Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
366b23ddb6c211003e45de51174c263ff27eb7ee4ec5c5b5cfb90c9c504a45f0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GZVSHXNWYIIQAPSF3ZIROTBGH7 \
| 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: 366b23ddb6c211003e45de51174c263ff27eb7ee4ec5c5b5cfb90c9c504a45f0
Canonical record JSON
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