pith:4OH7OC24
AI-Mediated Communication Can Steer Collective Opinion
AI editing of messages can amplify biases through social networks and shift collective opinions.
arxiv:2605.16245 v1 · 2026-05-15 · cs.CY · cs.AI · cs.CL · cs.LG · cs.SI
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\usepackage{pith}
\pithnumber{4OH7OC24VQZM65GOY5C3J6HYKI}
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Record completeness
Claims
biases introduced by AI in human-to-human communication can be amplified through the network and shift collective opinion in their direction
The directional biases observed in controlled editing tasks on specific topics will persist and apply consistently when AI mediates real-time, ongoing human-to-human exchanges on platforms.
AI editing of human texts introduces directional biases that amplify through social networks to steer collective opinions, demonstrated empirically and via an analytical model with a real-world audit of Grok on X.
References
Receipt and verification
| First computed | 2026-05-20T00:01:59.868639Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e38ff70b5cac32cf74cec745b4f8f8522e664f3eb42858845656966bc352469e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4OH7OC24VQZM65GOY5C3J6HYKI \
| 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: e38ff70b5cac32cf74cec745b4f8f8522e664f3eb42858845656966bc352469e
Canonical record JSON
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