Pith Number

pith:6RXQ3N3V

pith:2026:6RXQ3N3VVXRPOLI3TFTMBVGUJ4

not attested not anchored not stored refs resolved

Algorithmic Cultivation: How Social Media Feeds Shape User Language

Agam Goyal, Eshwar Chandrasekharan, Koustuv Saha, Olivia Pal

Users exposed to algorithmic social media feeds adapt their language more than similar unexposed users.

arxiv:2605.17010 v1 · 2026-05-16 · cs.SI · cs.AI · cs.CL · cs.CY · cs.HC

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\usepackage{pith}
\pithnumber{6RXQ3N3VVXRPOLI3TFTMBVGUJ4}

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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

users exposed to these feeds show significantly greater stylistic accommodation, semantic alignment, and register formalization than matched controls. These effects vary markedly by feed identity -- Blacksky produces the deepest psycholinguistic restructuring.

C2weakest assumption

The quasi-experimental matching of 368,513 exposed users to 2,001,915 controls successfully balances all relevant confounders so that observed linguistic differences can be attributed to feed exposure rather than pre-existing differences or other platform behaviors.

C3one line summary

Quasi-experimental study of 235M Bluesky posts finds that exposure to algorithmic feeds produces greater stylistic accommodation, semantic alignment, and register formalization than in matched controls, with effects varying by feed and strongest for reposting.

References

63 extracted · 63 resolved · 1 Pith anchors

[1] Aleksic, A. 2025. Algospeak: How social media is transforming the future of language. Knopf 2025

[2] D.; and Pischke, J.-S 2009

[3] Bakshy, E.; Messing, S.; and Adamic, L. A. 2015. Exposure to ideologically diverse news and opinion on Facebook. Science 2015

[4] Blei, D. M.; Ng, A. Y.; and Jordan, M. I. 2003. Latent dirichlet allocation. JMLR, 3(Jan): 993--1022 2003

[5] Boyd, R. L.; Ashokkumar, A.; Seraj, S.; and Pennebaker, J. W. 2022. The development and psychometric properties of LIWC-22 2022

Receipt and verification

First computed	2026-05-20T00:03:35.803743Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f46f0db775ade2f72d1b9966c0d4d44f3983ec190e8ea992d9750fbc268f8627

Aliases

arxiv: 2605.17010 · arxiv_version: 2605.17010v1 · doi: 10.48550/arxiv.2605.17010 · pith_short_12: 6RXQ3N3VVXRP · pith_short_16: 6RXQ3N3VVXRPOLI3 · pith_short_8: 6RXQ3N3V

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/6RXQ3N3VVXRPOLI3TFTMBVGUJ4 \
  | 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: f46f0db775ade2f72d1b9966c0d4d44f3983ec190e8ea992d9750fbc268f8627

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "88901436d37549f568d34ecc7cecf53477ed91cd034b0baa132bf94b0cf569cf",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL",
      "cs.CY",
      "cs.HC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SI",
    "submitted_at": "2026-05-16T14:14:43Z",
    "title_canon_sha256": "5349c6937428442b3e54f2c244fda9dbfb462010bda0a1a3197e6ce16b9ac026"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17010",
    "kind": "arxiv",
    "version": 1
  }
}