Pith Number

pith:U6W7DX5F

pith:2026:U6W7DX5FPI26H3WF5ZK33GAGIV

not attested not anchored not stored refs resolved

Creating Group Rules with AI: Human-AI Collaboration in WhatsApp Moderation

Aditya Vashistha, Farhana Shahid, Gauri Nayak, Kiran Garimella

WhatsApp admins value AI help drafting group rules yet resist full delegation over trust and privacy concerns.

arxiv:2605.12613 v1 · 2026-05-12 · cs.HC · cs.IR

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\usepackage{pith}
\pithnumber{U6W7DX5FPI26H3WF5ZK33GAGIV}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Admins appreciated the AI's ability to surface overlooked rules and reduce their moderation burden, but they were highly sensitive to issues of relational trust, data privacy, tone, and social context.

C2weakest assumption

That responses to speculative design probes and interactions with Meta AI accurately predict real-world willingness to delegate moderation authority in actual WhatsApp groups.

C3one line summary

Admins in India used Meta AI to help create WhatsApp group rules, appreciating reduced workload but remaining cautious about privacy, relational trust, and contextual tone.

References

67 extracted · 67 resolved · 0 Pith anchors

[1] Dhruv Agarwal, Mor Naaman, and Aditya Vashistha. 2025. AI suggestions homogenize writing toward western styles and diminish cultural nuances. InProceedings of the 2025 CHI Conference on Human Factors 2025

[2] Abdullah Alrhmoun, Charlie Winter, and János Kertész. 2024. Automating terror: The role and impact of telegram bots in the Islamic State’s online ecosystem.Terrorism and political violence36, 4 (2024) 2024

[3] URL https://doi.org/10.1145/ 3442188.3445922 2021 · doi:10.1145/3442188.3445922

[4] Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology.Qualitative research in psychology3, 2 (2006), 77 2006

[5] Eleftheria Briakou, Zhongtao Liu, Colin Cherry, and Markus Freitag. 2024. On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation. arXiv:2410.00863 [cs.CL] https://arxiv.org 2024

Receipt and verification

First computed	2026-05-18T03:10:00.585095Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a7adf1dfa57a35e3eec5ee55bd98064555a73811e5bc8ef4e123863731d58264

Aliases

arxiv: 2605.12613 · arxiv_version: 2605.12613v1 · doi: 10.48550/arxiv.2605.12613 · pith_short_12: U6W7DX5FPI26 · pith_short_16: U6W7DX5FPI26H3WF · pith_short_8: U6W7DX5F

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/U6W7DX5FPI26H3WF5ZK33GAGIV \
  | 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: a7adf1dfa57a35e3eec5ee55bd98064555a73811e5bc8ef4e123863731d58264

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "27ad1da8f1c035b498c7535d29d2dc1fd7ac937c300a4492496f5b802e2c2ff9",
    "cross_cats_sorted": [
      "cs.IR"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2026-05-12T18:02:49Z",
    "title_canon_sha256": "944101994f973dd4828d0cddfc2ac883319e5296c299f399b5f4f37018b596ba"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12613",
    "kind": "arxiv",
    "version": 1
  }
}