Pith Number

pith:OSYSUEV4

pith:2026:OSYSUEV4VPNA4AOIIDWBYZN24Q

not attested not anchored not stored refs resolved

Who, Why, and How: Disentangling the Effects of Moderation Source, Context, and Language on Post-Removal Behavior

Emilio Ferrara, Lindsay Young, Marlon Twyman, Siyi Zhou

Bot moderation on Reddit produces higher compliance and lower self-censorship than human or modteam moderation.

arxiv:2605.16204 v1 · 2026-05-15 · cs.CY

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\usepackage{pith}
\pithnumber{OSYSUEV4VPNA4AOIIDWBYZN24Q}

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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

Bot moderation consistently produces higher compliance and lower self-censorship than human or modteam moderation, challenging the assumption that human agency cues are inherently advantageous, with violation severity moderating linguistic strategy effectiveness.

C2weakest assumption

The observational dataset permits attribution of behavioral differences to moderation source, context, and language without substantial confounding from user self-selection, subreddit norms, or unmeasured factors in moderator assignment and message delivery.

C3one line summary

Large-scale observational analysis of Reddit moderation shows bot moderators yield higher compliance and lower self-censorship than human or team moderators, with linguistic strategies' effectiveness depending on violation severity.

References

43 extracted · 43 resolved · 0 Pith anchors

[1] K., & boyd danah, d 2012 · doi:10.1080/08838151.2012.705200

[2] Binns, R., Van Kleek, M., Veale, M., Lyngs, U., Zhao, J., & Shadbolt, N. (2018). ’It’s Reducing a Human Being to a Percentage’: Perceptions of Justice in Algorithmic Decisions.Proceedings of the 2018 2018 · doi:10.1145/3173574.3173951

[3] Marks, Handbook of Fourier analysis & its ap- plications 2001 · doi:10.1093/oso/9780195136395.001.0001

[4] Brehm, J. W. (1966).A Theory of Psychological Reactance. Academic Press 1966

[5] Brown, P., & Levinson, S. C. (1987).Politeness: Some Universals in Language Usage. Cambridge University Press 1987

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:01:57.891894Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

74b12a12bcabda0e01c840ec1c65bae40a6dd23e8134cd9d01481c75ce49669c

Aliases

arxiv: 2605.16204 · arxiv_version: 2605.16204v1 · doi: 10.48550/arxiv.2605.16204 · pith_short_12: OSYSUEV4VPNA · pith_short_16: OSYSUEV4VPNA4AOI · pith_short_8: OSYSUEV4

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/OSYSUEV4VPNA4AOIIDWBYZN24Q \
  | 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: 74b12a12bcabda0e01c840ec1c65bae40a6dd23e8134cd9d01481c75ce49669c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f1dd5af1cecb5685e41f4ff2b5ee736bb4b8347a9bf01e62864ace53040fe146",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-05-15T17:21:35Z",
    "title_canon_sha256": "a600ffec071e9e929253807de095a1ae717271a5b522e306d277ecece70ef7c7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16204",
    "kind": "arxiv",
    "version": 1
  }
}